Want to understand how Python scales efficiently across GPUs and clusters? Join NVIDIA experts for a live, classroom-style Q&A on cuPyNumeric, the technology that extends NumPy to distributed GPU environments. In this session, you\u2019ll have the opportunity to ask questions and discuss how cuPyNumeric maps familiar array operations onto distributed memory layouts, task schedules, and communication patterns.\n \nOur engineers will walk through real-world examples from the Linac Coherent Light Source, the Vera Rubin Observatory, and Australia National University, illustrating how these teams built and tuned distributed GPU applications from prototype to production. Bring your questions and dive deep into the engineering that bridges Python productivity with raw GPU performance.\n
\nImportant:Q&A with NVIDIA Experts are live, interactive sessions where attendees can ask questions directly to a panel of NVIDIA experts in a group setting. The experts address one question at a time for everyone in the room, so each answer is shared with all participants. This format is designed to deliver broadly relevant insights, turning every question into a chance for collective learning.
"},{"type":"Panel Discussion","sessionId":"1765068111513001xt5P","title":"Diffusion Unlocked: Advanced Techniques for Training, Inference, and Deployment","abbreviation":"S81684","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T16:00:00.000+00:00","utcEndTime":"2026-03-18T16:40:00.000+00:00","speakers":[{"sessionId":"1765068111513001xt5P","firstName":"Ming-Yu","lastName":"Liu","companyName":"NVIDIA","jobTitle":"VP Generative AI Research","roles":"Moderator","bio":"Ming-Yu Liu is a vice president of research at NVIDIA and a fellow of IEEE. He leads the Deep Imagination Research group at NVIDIA, which focuses on deep generative models and their applications in content creation. NVIDIA Edify, NVIDIA Canvas [GauGAN], and NVIDIA Maxine [LivePortrait] are three products research from his group enabled. ","speakerId":"1562003805176001x1hn_175570351919000gtc26","language":"en","fullName":"Ming-Yu Liu","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1562003805176001x1hn/attprofile/ming-yu-liu-featured-2000x2000-1_1765068312655001V80p.jpg","modified":"2025-12-15T20:35:17Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765068111513001xt5P","firstName":"Stefano","lastName":"Ermon","companyName":"Inception Labs","jobTitle":"CEO","roles":"Panelist","bio":"Stefano Ermon is an associate professor of computer science at Stanford University and a pioneer in generative AI. He co-founded Inception Labs, a company backed by NVIDIA that is building next-generation, diffusion-based large language models capable of significantly faster text generation than current standards. Stefano also co-founded Atlas AI, which utilizes satellite data and machine learning to monitor global economic development. A recipient of the prestigious IJCAI Computers and Thought Award, his research focuses on probabilistic modeling and computational sustainability, applying advanced AI techniques to solve complex real-world problems.","speakerId":"1765219075666001gBM7_175570351919000gtc26","language":"en","fullName":"Stefano Ermon","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765219075666001gbm7/attprofile/stefano-ermon-1765219075666001gbm7-headshot-grey-200_1768430239520001tc6n.jpg","modified":"2026-02-25T16:30:16Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1765068111513001xt5P","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t09","dayTimeSort":"20260318t0900","endDate":"2026-03-18","endTime":"09:40","endTimeFormatted":"09:40 AM","utcEndTime":"2026/03/18 16:40:00","utcStartTime":"2026/03/18 16:00:00","startTime":"09:00","length":40.0,"isHidden":false,"sessionTimeID":"1769529121518001breW","room":"Montgomery Theater"}],"abstract":"Diffusion models have exploded from research labs into the mainstream, powering everything from photorealistic image generation to creative co-pilots. But moving these models from a notebook to a scalable, low-latency, production-ready service is one of the greatest engineering challenges in modern AI. The \"magic\" of generation hides a complex stack of optimization and infrastructure hurdles.\n\nWe will bypass high-level concepts to debate the concrete architectural trade-offs required for low latency and high throughput, covering unique training challenges, up-and-coming model architectures, inference and runtime optimization, low-precision and NVFP4, and scaling topologies."},{"type":"Talk","sessionId":"1770769610524001RPyx","title":"From Benchmark Silos to an Interoperable AI Evaluation Ecosystem","abbreviation":"S82445","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T17:00:00.000+00:00","utcEndTime":"2026-03-19T17:40:00.000+00:00","speakers":[{"sessionId":"1770769610524001RPyx","firstName":"Alexandre","lastName":"Lacoste","companyName":"ServiceNow AI Research","jobTitle":"Sr. Staff Fundamental Researcher","roles":"Presenter","bio":"Alexandre is a senior staff research scientist leading the Long Horizon Agent team at ServiceNow AI Research. Since completing his Ph.D. in theoretical machine learning, he's published various influential works around foundation models, sequential decision-making, and causality, as well as various works in collaboration with Yoshua Bengio. Prior to ServiceNow, Alexandre was a research scientist at Element AI, and he worked for three years at Google. He's also a founding member of Climate Change AI.","speakerId":"1696463364930001Zqsc_175570351919000gtc26","language":"en","fullName":"Alexandre Lacoste","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1696463364930001zqsc/attprofile/alexandre-lacoste-1696463364930001zqsc-headshot-grey-200_1772493355147001fVuR.jpg","modified":"2026-02-11T00:32:48Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1770769610524001RPyx","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t10","dayTimeSort":"20260319t1000","endDate":"2026-03-19","endTime":"10:40","endTimeFormatted":"10:40 AM","utcEndTime":"2026/03/19 17:40:00","utcStartTime":"2026/03/19 17:00:00","startTime":"10:00","length":40.0,"isHidden":false,"sessionTimeID":"1771963417478001UHa6","room":"Marriott - Ballroom Salon III (L2)"}],"abstract":"As agent benchmarks multiply, the AI research community is paying a growing integration tax, with each new benchmark requiring custom infrastructure and tooling. This session introduces Common Unified Benchmark Environments (CUBE), a universal benchmarking protocol built on MCP and Gym that defines shared APIs for tasks, benchmarks, packages, and registries. We explore CUBE\u2019s design and show how it integrates with existing evaluation workflows, including early reference integrations validated in collaboration with NVIDIA using NeMo Gym and NeMo Evaluator. Learn how to adopt CUBE, integrate it into your own tooling, and contribute to a more interoperable and scalable benchmarking ecosystem."},{"type":"Talk","sessionId":"1764952369519001aJF5","title":"MLOps 101: Platforms and Processes for Building AI","abbreviation":"S81628","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T18:00:00.000+00:00","utcEndTime":"2026-03-19T18:40:00.000+00:00","speakers":[{"sessionId":"1764952369519001aJF5","firstName":"Michael","lastName":"Balint","companyName":"NVIDIA","jobTitle":"Director, Product Architecture","roles":"Co-Presenter","bio":"Michael is focused on cluster management, orchestration, and scheduling of NVIDIA DGX servers. Previously, Michael was a White House Presidential Innovation Fellow, where he brought his technical expertise to projects like then-Vice President Biden's Cancer Moonshot and Code.gov. ","speakerId":"15616538584670012awh_175570351919000gtc26","language":"en","fullName":"Michael Balint","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/15616538584670012awh/attprofile/michael-balint-15616538584670012awh-headshot-grey-200_1767893420808001fcen.jpg","modified":"2025-12-05T16:38:59Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1764952369519001aJF5","firstName":"William","lastName":"Benton","companyName":"NVIDIA","jobTitle":"Principal Product Architect","roles":"Presenter","bio":"William works on data science product architecture at NVIDIA. He's passionate about making it easier for machine learning practitioners to benefit from advanced infrastructure and making it possible for organizations to manage ML systems. Will has also conducted research and development related to static program analysis, language runtimes, cluster configuration management, and music technology.","speakerId":"1601614114148001wxPm_175570351919000gtc26","language":"en","fullName":"William Benton","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1601614114148001wxPm/attprofile/william-benton-200x200%20%281%29_1669667055981001uI1c_1768252800055001NpRa.jpg","modified":"2025-12-05T16:43:01Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1764952369519001aJF5","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t13","dayTimeSort":"20260317t1300","endDate":"2026-03-17","endTime":"13:40","endTimeFormatted":"01:40 PM","utcEndTime":"2026/03/17 20:40:00","utcStartTime":"2026/03/17 20:00:00","startTime":"13:00","length":40.0,"isHidden":false,"sessionTimeID":"1769533469327001QPLs","room":"SJCC LL20AB (LL)"},{"sessionId":"1764952369519001aJF5","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t11","dayTimeSort":"20260319t1100","endDate":"2026-03-19","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/19 18:40:00","utcStartTime":"2026/03/19 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1770935352490001nelH","room":"SJCC LL20CD (LL)"}],"abstract":"As AI adoption accelerates across every industry, teams are discovering that model quality alone is not quite enough to deliver real value. Scalable and reliable AI systems depend on robust MLOps that streamline the entire life cycle, from data to deployment. At the same time, the field is undergoing a major transformation driven by agentic AI, advanced reasoning, multi-modality, and new patterns for large-scale, disaggregated inference. \n\nThis session introduces the foundational patterns of MLOps while also exploring how these new capabilities reshape AI design and operational strategy. We'll examine several use cases to break down the process and ideal platform for MLOps in this new era. Whether you're launching your first AI initiative or modernizing your infrastructure, this session provides the technical blueprint and best practices you need to operationalize AI at scale."},{"type":"Talk","sessionId":"1765169444129001UyGv","title":"NVIDIA 101: From Chips to Software\u2014How NVIDIA's AI Platform Enables the AI Revolution","abbreviation":"S81708","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T21:00:00.000+00:00","utcEndTime":"2026-03-19T21:40:00.000+00:00","speakers":[{"sessionId":"1765169444129001UyGv","firstName":"Rambo","lastName":"Jacoby","companyName":"NVIDIA","jobTitle":"Principal Engineer","roles":"Presenter","bio":"Rambo Jacoby is a principal engineer with a 24-year tenure at NVIDIA, and one of NVIDIA\u2019s most dynamic and influential speakers. He currently contributes to NVIDIA\u2019s Executive Briefing Center, where he's responsible for educating world leaders and Fortune 500 executives on NVIDIA\u2019s AI platform and the transformative impact of graphics, digital twins, high-performance computing, and agentic and physical AI on the world\u2019s major industries.","speakerId":"1562003848529001xGTr_175570351919000gtc26","language":"en","fullName":"Rambo Jacoby","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1562003848529001xgtr/attprofile/rambo-jacoby-1562003848529001xgtr-headshot-grey-200_1767913944966001i7Q1.jpg","modified":"2025-12-08T04:53:56Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765169444129001UyGv","date":"2026-03-16","dateFormatted":"Monday, March 16","day":"16","dayId":"1766457954902001lwM7","dayName":"Monday","daySort":"20260316","dayTimeHour":"20260316t16","dayTimeSort":"20260316t1600","endDate":"2026-03-16","endTime":"16:40","endTimeFormatted":"04:40 PM","utcEndTime":"2026/03/16 23:40:00","utcStartTime":"2026/03/16 23:00:00","startTime":"16:00","length":40.0,"isHidden":false,"sessionTimeID":"1769548905721001lEWn","room":"Marriott - Ballroom Salon I-II (L2)"},{"sessionId":"1765169444129001UyGv","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t14","dayTimeSort":"20260319t1400","endDate":"2026-03-19","endTime":"14:40","endTimeFormatted":"02:40 PM","utcEndTime":"2026/03/19 21:40:00","utcStartTime":"2026/03/19 21:00:00","startTime":"14:00","length":40.0,"isHidden":false,"sessionTimeID":"1772238517132001zqKD","room":"SJCC LL20CD (LL)"}],"abstract":"Attend this introductory session for an overview of how NVIDIA\u2019s AI platform sparked the agentic and physical AI revolution. We'll showcase real-world examples of how NVIDIA has disrupted some of the world\u2019s major industries. An interactive Connect With the Experts session will follow the talk, where you can engage with NVIDIA\u2019s hardware firsthand and ask any follow-up questions. Check out our Connect with the Experts session here."},{"type":"Panel Discussion","sessionId":"1771630445320001XDtP","title":"Open Models: Where We Are and Where We\u2019re Headed","abbreviation":"S82480","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":90,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T19:30:00.000+00:00","utcEndTime":"2026-03-18T21:00:00.000+00:00","speakers":[{"sessionId":"1771630445320001XDtP","firstName":"Harrison","lastName":"Chase","companyName":"LangChain","jobTitle":"Co-Founder and CEO","roles":"Panelist","bio":"Harrison Chase is the CEO and co-founder of LangChain, a company formed around the popular open-source Python/Typescript packages. Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a FinTech startup), and studied statistics and computer science at Harvard University.","speakerId":"1697846207175001Iimt_175570351919000gtc26","language":"en","fullName":"Harrison Chase","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1697846207175001iimt/attprofile/harrison-chase-1697846207175001iimt-headshot-grey-200_1772493462700001GOHT.jpg","modified":"2026-02-11T20:55:07Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1},{"sessionId":"1771630445320001XDtP","firstName":"Jensen","lastName":"Huang","companyName":"NVIDIA","jobTitle":"Founder and CEO","roles":"Moderator","bio":"Jensen Huang founded NVIDIA in 1993 and has served as president, CEO, and member of the board of directors since its inception. Since its founding, NVIDIA has pioneered accelerated computing. The company's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI. NVIDIA is now driving the platform shift of accelerated computing and generative AI, transforming the world's largest industries and profoundly impacting society.","speakerId":"1565045558711001SQbI_175570351919000gtc26","language":"en","fullName":"Jensen Huang","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1565045558711001sqbi/attprofile/jensen-huang-1565045558711001sqbi-headshot-grey-200_1768342063913001ZEcN.jpg","modified":"2025-12-04T22:13:27Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1771630445320001XDtP","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t12","dayTimeSort":"20260318t1230","endDate":"2026-03-18","endTime":"14:00","endTimeFormatted":"02:00 PM","utcEndTime":"2026/03/18 21:00:00","utcStartTime":"2026/03/18 19:30:00","startTime":"12:30","length":90.0,"isHidden":false,"sessionTimeID":"1772037782414001gMwY","room":"San Jose Civic"}],"abstract":"Doors open at 11:30 a.m. Session begins at 12:30 p.m.
One of the most important shifts in AI over the past year has been the rapid advancement of open frontier models. Open innovation is accelerating progress across every company and every industry, making it clear that AI will proliferate everywhere.
NVIDIA founder and CEO Jensen Huang hosts industry leaders for a candid discussion on the state of the art in open frontier models and what comes next.
"},{"type":"Talk","sessionId":"1770338490194001rDKj","title":"Optimizing Speech-To-Text Pipelines for Real-World Voice Agents","abbreviation":"S82429","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T18:00:00.000+00:00","utcEndTime":"2026-03-19T18:40:00.000+00:00","speakers":[{"sessionId":"1770338490194001rDKj","firstName":"Max","lastName":"Lu","companyName":"Decagon","jobTitle":"Head of Research","roles":"Presenter","bio":"Max Lu brings an extensive background in AI, machine learning, and data-science engineering experience to the GTC program. As head of research at Decagon, he oversees efforts to build the leading conversational AI agents for concierge customer experiences. He is also a co-founder of CodeComplete AI, an AI-powered coding assistant designed for enterprise. Previously, he led ranking and recommendations teams at Facebook and Quora. He earned his computer science degree at Harvard University.","speakerId":"1770338730981001Jfek_175570351919000gtc26","language":"en","fullName":"Max Lu","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1770338730981001jfek/attprofile/max-lu-1770338730981001jfek-headshot-grey-200_1772493568972001BNtw.jpg","modified":"2026-03-09T20:25:13Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":false,"times":[{"sessionId":"1770338490194001rDKj","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t11","dayTimeSort":"20260319t1100","endDate":"2026-03-19","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/19 18:40:00","utcStartTime":"2026/03/19 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1770745362575001qVSQ","room":"Marriott - Ballroom Salon III (L2)"}],"abstract":"Every voice AI agent starts with the same problem: turning raw audio into something useful. This session shares what we've learned at Decagon building a production speech-to-text pipeline for customer service voice agents. We'll walk through the core components, including voice activity detection, turn detection, and transcription, and the failure modes we hit when deploying on real phone calls. Along the way, we'll cover the statistical and learned approaches we developed to handle these challenges, and how we think about evaluating ASR in a way that actually reflects agent performance."},{"type":"Panel Discussion","sessionId":"1770081135126001z9em","title":"Powering Agentic AI in Automotive: From Enterprise and Manufacturing Operations to In-Vehicle Intelligence","abbreviation":"S82406","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T16:00:00.000+00:00","utcEndTime":"2026-03-19T16:40:00.000+00:00","speakers":[{"sessionId":"1770081135126001z9em","firstName":"Sri","lastName":"Subramanian","companyName":"NVIDIA","jobTitle":"Global Head of Generative AI, Automotive","roles":"Moderator","bio":"Sri Subramanian is responsible for NVIDIA\u2019s global automotive Gen AI business, including go-to-market strategy, business development, and customer and partner relations. He's focused on Gen AI opportunities with automotive customers everywhere, from in-car to manufacturing to enterprise, and establishing AI foundries using NVIDIA assets such as NeMo and NIMs. Sri has 25 years of experience spanning the automotive, mobile, and internet-of-things industries, leveraging cloud and embedded technologies. Prior to NVIDIA, he held product and engineering leadership roles at Amazon, Qualcomm, NXP, and Motorola, among others. Sri holds a master's degree in electrical engineering from Georgia Tech and an M.B.A. from the University of Texas, Austin. ","speakerId":"1726617746274001xRnc_175570351919000gtc26","language":"en","fullName":"Sri Subramanian","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1726617746274001xrnc/attprofile/sri-subramanian-1726617746274001xrnc-headshot-grey-200_1770079445162001ISOy.jpg","modified":"2025-12-08T13:26:31Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1770081135126001z9em","firstName":"Manoj","lastName":"Chathankulangara Rajan","companyName":"Tata Consultancy Services","jobTitle":"Head, AI/Gen AI and Autonomous Driving COE , Industrial Autonomy and Engineering","roles":"Panelist","bio":"With 22 years of experience and primary expertise in AI and high computing devices, Manoj CR heads the AI/Gen AI & Autonomous Driving Center of Excellence in TCS. He is primarily responsible for defining futuristic solutions in AI and Gen AI for next-generation software-defined vehicles, and leveraging them for vehicle development for global manufacturers and Tier 1 suppliers. He owns 22 patents in AI and computer vision, and has published numerous conference papers and journals.","speakerId":"1569214680692001grVw_175570351919000gtc26","language":"en","fullName":"Manoj Chathankulangara Rajan","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1569214680692001grvw/attprofile/manoj-chathankulangara-rajan-1569214680692001grvw-headshot-grey-200_1772493552101001IOnl.jpg","modified":"2026-02-09T20:01:05Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1770081135126001z9em","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t09","dayTimeSort":"20260319t0900","endDate":"2026-03-19","endTime":"09:40","endTimeFormatted":"09:40 AM","utcEndTime":"2026/03/19 16:40:00","utcStartTime":"2026/03/19 16:00:00","startTime":"09:00","length":40.0,"isHidden":false,"sessionTimeID":"1770405753700001wI9L","room":"Montgomery Theater"}],"abstract":"Automotive AI is rapidly evolving from isolated pilots into end-to-end, production-scale deployments\u2014spanning manufacturing operations, enterprise workflows, and in-vehicle intelligence. In this session, industry leaders from ServiceNow, Visteon, Lyft, and Tata Consultancy Services share how NVIDIA Nemotron models are being operationalized across the automotive value chain to deliver measurable business, operational, and engineering impact."},{"type":"Talk","sessionId":"1764908542598001K1Qg","title":"Practical Context Engineering: Eliminate Bugs With High-Signal AI Code Reviews","abbreviation":"S81612","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T18:00:00.000+00:00","utcEndTime":"2026-03-17T18:40:00.000+00:00","speakers":[{"sessionId":"1764908542598001K1Qg","firstName":"David","lastName":"Loker","companyName":"CodeRabbit","jobTitle":"VP of AI","roles":"Co-Presenter","bio":"David Loker is VP of AI at CodeRabbit, leading agentic AI for code reviews and developer workflows. An entrepreneur and award-winning researcher, he has built large-scale ML systems since 2007. He\u2019s published 12 papers at NeurIPS, ICML, and AAAI, and was an early generative AI pioneer. From startups to hands-on engineering, David pairs deep technical rigor with product vision to turn research into real value.","speakerId":"1764908888674001IRs9_175570351919000gtc26","language":"en","fullName":"David Loker","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1764908888674001irs9/attprofile/David-Loker-1764908888674001IRs9-headshot-grey-200_1767892833325001n5BA.jpg","modified":"2025-12-05T04:28:09Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1764908542598001K1Qg","firstName":"Harjot","lastName":"Gill","companyName":"CodeRabbit","jobTitle":"CEO","roles":"Presenter","bio":"Harjot is CEO of CodeRabbit, the pioneer of AI code reviews. Previously, he co-founded and led FluxNinja, delivering rate/concurrency limiting, caching, and request prioritization for scalable Gen AI apps. Before that, he was senior director of technology at Nutanix, and co-founded Netsil, a network-centric observability startup acquired by Nutanix. \n\nSpecialties: category creation, visionary products, early GTM, and enterprise consumerization.","speakerId":"1764908723525001Ne5h_175570351919000gtc26","language":"en","fullName":"Harjot Gill","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1764908723525001ne5h/attprofile/Harjot-Gill-1764908723525001Ne5h-headshot-grey-200_1767892951595001kvjq.jpg","modified":"2025-12-05T04:25:23Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1764908542598001K1Qg","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t11","dayTimeSort":"20260317t1100","endDate":"2026-03-17","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/17 18:40:00","utcStartTime":"2026/03/17 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1769544509379001eSXD","room":"SJCC LL20CD (LL)"}],"abstract":"AI-assisted coding has sped up code generation, but human-only code reviews are now the bottleneck. Too many pull requests (PRs), not enough reviewer bandwidth. This session shows how you can build the right context-engineering architecture that helps LLMs deliver high-signal AI code reviews. \n\nCatch logical or functional bugs, memory leaks, security vulnerabilities, code refactors, edge cases, and more. You'll see how bringing in the right context from external datasets (such as code graphs, PR history, issue tickets, MCP servers, and linters) yields better-quality reviews of PR diffs. You will leave with a practical playbook to pilot and scale AI code reviews that increase your release velocity with fewer bugs."},{"type":"Talk","sessionId":"1765223546023001apdj","title":"Scaling AI Agents Globally Across Brands, Use Cases, and Restaurants","abbreviation":"S81755","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T23:00:00.000+00:00","utcEndTime":"2026-03-17T23:40:00.000+00:00","speakers":[{"sessionId":"1765223546023001apdj","firstName":"Cameron","lastName":"Davies","companyName":"Yum! Brands","jobTitle":"Chief Data Officer","roles":"Presenter","bio":"Cameron Davies is the chief data officer for Yum! Brands, the world\u2019s largest restaurant company, hosting such iconic brands as KFC, Taco Bell, Pizza Hut, and The Habit Burger. He leads the corporate data and analytics strategy and champions the development and adoption of advanced data capabilities. Previously, Cameron spent seven years as a senior VP at NBCUniversal and over 18 years at the Walt Disney Co., where he led the Corporate Center of Excellence for AI and Machine Learning. \n\nCameron has an M.B.A. and master of accountancy from the University of West Florida and a B.S. in business administration/accounting from Pensacola Christian College. He lives in Charlotte, North Carolina.","speakerId":"1733947702854001GbCc_175570351919000gtc26","language":"en","fullName":"Cameron Davies","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1733947702854001GbCc/attprofile/cameron-davies-featured-200x200_1768239510581001fmIF.jpg","modified":"2025-12-08T19:54:01Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765223546023001apdj","firstName":"Joey","lastName":"Conway","companyName":"NVIDIA","jobTitle":"Senior Director, Enterprise Software","roles":"Co-Presenter","speakerId":"15607897615220016IIq_175570351919000gtc26","language":"en","fullName":"Joey Conway","speakerPhotoPublished":"Published","modified":"2026-01-08T22:48:34Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1765223546023001apdj","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t16","dayTimeSort":"20260317t1600","endDate":"2026-03-17","endTime":"16:40","endTimeFormatted":"04:40 PM","utcEndTime":"2026/03/17 23:40:00","utcStartTime":"2026/03/17 23:00:00","startTime":"16:00","length":40.0,"isHidden":false,"sessionTimeID":"1769494378288001pyZq","room":"Montgomery Theater"}],"abstract":"Scaling and deploying AI into restaurant operations requires unique technology and partners. Learn how Yum! Brands, the world\u2019s largest restaurant company, is using NVIDIA software to scale intelligence into their restaurant technology, expanding use cases, applications, and partners."},{"type":"Talk","sessionId":"1764199036650001s7RW","title":"Securing Coding Assistants","abbreviation":"S81493","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T18:00:00.000+00:00","utcEndTime":"2026-03-18T18:40:00.000+00:00","speakers":[{"sessionId":"1764199036650001s7RW","firstName":"Rich","lastName":"Harang","companyName":"NVIDIA","jobTitle":"Principal AI Security Engineer","roles":"Co-Presenter (Paid)","bio":"Rich Harang is a principal security architect at NVIDIA, specializing in ML/AI systems, with over a decade of experience at the intersection of computer security, machine learning, and privacy. Rich's work has been presented at USENIX, BlackHat, IEEE S&P workshops, and DEF CON AI Village, among others, and has also been featured in The Register and KrebsOnSecurity.","speakerId":"1661785736258001brl7_175570351919000gtc26","language":"en","fullName":"Rich Harang","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1661785736258001brl7/attprofile/Rich%20Harang-headshot-grey-200_1773259947200001LRmy.jpg","modified":"2025-12-12T23:14:17Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1764199036650001s7RW","firstName":"Tom","lastName":"Daniels","companyName":"Cursor","jobTitle":"CISO","roles":"Presenter","bio":"Tom Daniels is a seasoned cybersecurity professional currently serving as the chief information security officer (CISO) at Cursor, where he leads efforts in safeguarding sensitive financial data. With over a decade of experience in various security roles, he has honed his skills in application security, cloud computing, and incident response.","speakerId":"1765225827134001kDUo_175570351919000gtc26","language":"en","fullName":"Tom Daniels","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765225827134001kDUo/attprofile/Screenshot%202025-12-08%20at%201.27.34%E2%80%AFPM_1765225827774001kXK6.png","modified":"2025-12-12T23:14:55Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1764199036650001s7RW","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t11","dayTimeSort":"20260318t1100","endDate":"2026-03-18","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/18 18:40:00","utcStartTime":"2026/03/18 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1769495778891001pxCQ","room":"Hyatt Place Salon II & III (L1)"}],"abstract":"As AI-powered coding assistants become more capable\u2014and begin interacting directly with developer environments\u2014their security risks grow alongside their utility. This session offers a practical demonstration of how vulnerabilities can emerge when these assistants gain computer-use capabilities, exposing new attack surfaces inside the software development life cycle. We then dive into Cursor\u2019s real-world mitigation strategies, showing how hard security controls around critical functions create a flexible balance between capability and risk. Finally, we connect lessons from AI security research, secure application design, and red-teaming exercises to illustrate how organizations can safely unlock higher levels of automation. Together, these practices chart a path toward powerful AI development tools with far lower operational risk."},{"type":"Talk","sessionId":"1764194908536001ZHO1","title":"Security for the AI-First Enterprise","abbreviation":"S81491","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T16:00:00.000+00:00","utcEndTime":"2026-03-17T16:40:00.000+00:00","speakers":[{"sessionId":"1764194908536001ZHO1","firstName":"David","lastName":"Reber","companyName":"NVIDIA","jobTitle":"CSO","roles":"Presenter","bio":"David Reber is a security executive with experience directing cybersecurity and product security for technology companies and the U.S. public sector. David currently serves as the chief security officer for NVIDIA. Previously, David served as senior director of cybersecurity for Nutanix, director of security and solutions for Frame, and spent more than 10 years providing formation technology and security leadership to the U.S. government.","speakerId":"1582761198953001vp2x_175570351919000gtc26","language":"en","fullName":"David Reber","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1582761198953001vp2x/attprofile/david-reber-featured-200x200_1768255535852001jJxl.jpg","modified":"2025-11-26T22:09:39Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1764194908536001ZHO1","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t09","dayTimeSort":"20260317t0900","endDate":"2026-03-17","endTime":"09:40","endTimeFormatted":"09:40 AM","utcEndTime":"2026/03/17 16:40:00","utcStartTime":"2026/03/17 16:00:00","startTime":"09:00","length":40.0,"isHidden":false,"sessionTimeID":"1769495613696001OOHR","room":"San Jose Civic"}],"abstract":"As AI transforms every layer of modern computing, security must evolve in parallel\u2014shifting from a separate function to an embedded capability woven into every stage of innovation. Today\u2019s CISOs and security leaders are moving beyond reactive defense, redefining their roles as proactive business enablers who accelerate safe adoption of AI, cloud, and emerging technologies. This talk explores how that shift is reshaping security architectures, operating models, and organizational influence. Finally, it highlights why meaningful collaboration across industry, academia, and government is no longer optional. Addressing global cyber threats at AI scale demands shared intelligence, coordinated standards, and partnerships that blend cutting-edge research with real-world deployment. Together, these forces define the future of secure innovation."},{"type":"Panel Discussion","sessionId":"1765232685086001XZyI","title":"Shaping the Next Era of Autonomous Driving Through Safety-Centered AI","abbreviation":"S81786","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T00:00:00.000+00:00","utcEndTime":"2026-03-17T00:40:00.000+00:00","speakers":[{"sessionId":"1765232685086001XZyI","firstName":"Ali","lastName":"Kani","companyName":"NVIDIA","jobTitle":"VP of Automotive","roles":"Moderator","bio":"Ali Kani is the vice president of automotive at NVIDIA, overseeing NVIDIA DRIVE\u2019s end-to-end platform for autonomous vehicle development and production. The NVIDIA automotive group is engaged with hundreds of car and truck makers, robotaxi companies, tier 1 suppliers, high-definition mapping companies, sensor manufacturers, and startup companies\u2014all building on NVIDIA DRIVE and its high-performance AI capabilities.","speakerId":"15607897616850016e4B_175570351919000gtc26","language":"en","fullName":"Ali Kani","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/15607897616850016e4b/attprofile/ali-kani-15607897616850016e4b-headshot-grey-200_1767952671451001i2rz.jpg","modified":"2025-12-08T22:29:49Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765232685086001XZyI","firstName":"Raquel","lastName":"Urtasun","companyName":"Waabi","jobTitle":"Founder and CEO","roles":"Panelist","bio":"Raquel Urtasun is the founder and CEO of Waabi, an AI company building the next generation of self-driving technology. Raquel is also a full professor in the Department of Computer Science at the University of Toronto and a co-founder of the Vector Institute for AI. Raquel earned her Ph.D. from the computer science department at Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL) in 2006, and did her postdoc at MIT and the University of California, Berkeley.","speakerId":"16105691430050015LQJ_175570351919000gtc26","language":"en","fullName":"Raquel Urtasun","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/16105691430050015lqj/attprofile/raquel-urtasun-16105691430050015lqj-headshot-grey-200_1768430427704001fukG.jpg","modified":"2026-01-26T22:20:44Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1765232685086001XZyI","date":"2026-03-16","dateFormatted":"Monday, March 16","day":"16","dayId":"1766457954902001lwM7","dayName":"Monday","daySort":"20260316","dayTimeHour":"20260316t17","dayTimeSort":"20260316t1700","endDate":"2026-03-16","endTime":"17:40","endTimeFormatted":"05:40 PM","utcEndTime":"2026/03/17 00:40:00","utcStartTime":"2026/03/17 00:00:00","startTime":"17:00","length":40.0,"isHidden":false,"sessionTimeID":"1769809267598001ZPmK","room":"Center for the Performing Arts"}],"abstract":"Achieving Level 4 (L4) autonomy at global scale requires both technical mastery and a verifiable safety case to earn public trust. This panel brings together engineering, mobility, and regulatory leaders from across the autonomous vehicle ecosystem to examine the breakthroughs enabling trustworthy autonomous vehicle deployment. \n\n\nWe\u2019ll explore the core challenges: integrating large foundation models, using reasoning vision-language-action models to handle edge cases, generating billions of validation miles using physically accurate simulation, and using unified safety frameworks like NVIDIA Halos to achieve certification and regulatory compliance. You\u2019ll learn how teams are translating abstract safety mandates into verifiable software and hardware constraints to deliver truly trustworthy autonomy. "},{"type":"Talk","sessionId":"1766045752466001J4hy","title":"Simulating Reality Inside General World Models","abbreviation":"S82147","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T22:00:00.000+00:00","utcEndTime":"2026-03-17T22:40:00.000+00:00","speakers":[{"sessionId":"1766045752466001J4hy","firstName":"Anastasis","lastName":"Germanidis","companyName":"Runway","jobTitle":"CTO and Co-Founder","roles":"Presenter","bio":"Anastasis Germanidis is a Greek AI researcher, software engineer, and artist based in New York City. He's the chief technology officer and co-founder of Runway. Previously, he was a machine learning researcher at IBM and a distributed systems back-end engineer.","speakerId":"1694191882018001ISN0_175570351919000gtc26","language":"en","fullName":"Anastasis Germanidis","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1694191882018001isn0/attprofile/Anastasis-Germanidis-1694191882018001ISN0-headshot-grey-200_1767892672970001XrzW.jpg","modified":"2026-02-25T16:30:16Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1766045752466001J4hy","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t15","dayTimeSort":"20260317t1500","endDate":"2026-03-17","endTime":"15:40","endTimeFormatted":"03:40 PM","utcEndTime":"2026/03/17 22:40:00","utcStartTime":"2026/03/17 22:00:00","startTime":"15:00","length":40.0,"isHidden":false,"sessionTimeID":"1769381159235001eDOu","room":"Montgomery Theater"}],"abstract":"This session explores how world models are emerging as a critical next step in advancing AI, enabling applications across physical AI, entertainment, and beyond. We'll go inside Runway's GWM-1: its architecture, capabilities, and why we believe video diffusion-based world models are the most direct path to general-purpose simulation. We'll also discuss the research and infrastructure challenges involved in deploying world models that run in real time."},{"type":"Panel Discussion","sessionId":"1767739596327001kb3y","title":"The 50-State Plan: Public-Private Models for AI Infrastructure and University Transformation","abbreviation":"S82238","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":60,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T18:00:00.000+00:00","utcEndTime":"2026-03-18T19:00:00.000+00:00","speakers":[{"sessionId":"1767739596327001kb3y","firstName":"Chris","lastName":"Malachowsky","companyName":"NVIDIA","jobTitle":"Co-Founder","roles":"Panelist","bio":"Chris Malachowsky founded NVIDIA in 1993 and has more than 40 years of industry experience. He\u2019s a member of the executive staff and a senior technology executive for NVIDIA. He\u2019s been instrumental in managing, defining, and driving the company\u2019s core technologies as it has grown to the global leader in accelerated computing. At NVIDIA, he\u2019s led numerous functions, including IT, operations, and product engineering.","speakerId":"1562003603434001zuIJ_175570351919000gtc26","language":"en","fullName":"Chris Malachowsky","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1562003603434001zuij/attprofile/chris-malachowsky-1562003603434001zuij-headshot-grey-200_1772493406189001yOyS.jpg","modified":"2026-01-06T22:49:13Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1767739596327001kb3y","firstName":"Jack","lastName":"Wells","companyName":"NVIDIA","jobTitle":"Director of Higher Education and Research Computing","roles":"Moderator","bio":"Jack Wells engages thought leaders across the computing ecosystem, focusing on aligning NVIDIA platform research requirements. Jack joined NVIDIA in 2021 following 23 years at Oak Ridge National Laboratory, where he was director of science for the team that delivered three world-leading supercomputers at the Oak Ridge Leadership Computing Facility, a U.S. Department of Energy national user facility. He's authored or co-authored more than 100 scientific papers and edited two books. \n\nJack serves as president of OpenACC, a consortium dedicated to the research community\u2019s advancement by expanding accelerated and parallel computing capabilities. Previously, he served as chair of the Division of Computational Physics of the American Physical Society and as science adviser to U.S. Senator Lamar Alexander. Jack has a Ph.D. in physics from Vanderbilt University.","speakerId":"1613620369927001nJGm_175570351919000gtc26","language":"en","fullName":"Jack Wells","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1613620369927001nJGm/attprofile/cropped-Jack_Wells-200x200_1736803069979001Z7Xj_1770166530110001qbga.jpg","modified":"2026-01-06T22:47:36Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":true,"times":[{"sessionId":"1767739596327001kb3y","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t11","dayTimeSort":"20260318t1100","endDate":"2026-03-18","endTime":"12:00","endTimeFormatted":"12:00 PM","utcEndTime":"2026/03/18 19:00:00","utcStartTime":"2026/03/18 18:00:00","startTime":"11:00","length":60.0,"isHidden":false,"sessionTimeID":"1770409512316001nWbt","room":"Montgomery Theater"}],"abstract":"As AI becomes the definitive engine of economic and academic growth, the race is on to democratize access to high performance computing across the United States. This panel explores \"The 50-State Plan,\" a strategic roadmap for building robust, statewide AI infrastructure through innovative public-private partnerships. The session brings together visionary tech-industry pioneers, leaders from the National Science Foundation (NSF), and executives from top-tier research universities to discuss the shift from isolated pockets of innovation to unified strategies for university transformation and mission success in the age of AI.\n\nJoin us to learn how your organization can participate in this nationwide effort to bridge the digital divide and accelerate the next era of discovery."},{"type":"Talk","sessionId":"1765219961397001xcVc","title":"The AI-XR Co-Scientist Lab: How Stanford - Princeton's LabOS is Accelerating Advanced Science With XR","abbreviation":"S81748","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T21:00:00.000+00:00","utcEndTime":"2026-03-18T21:40:00.000+00:00","speakers":[{"sessionId":"1765219961397001xcVc","firstName":"Le","lastName":"Cong","companyName":"Stanford University","jobTitle":"Professor","roles":"Presenter","bio":"Le Cong is a professor in the Pathology and Genetics Departments at Stanford University and a Donald and Delia Baxter Scholar. His lab develops AI co-scientists to accelerate scientific discovery, pioneering platforms such as CRISPR-GPT, RNAGenesis, and LabOS\u2014the first AI-XR system that enables human\u2013AI collaboration in real-world experiments through agentic AI, smart glasses, and robotic perception, paving the way toward a self-driving laboratory to accelerate science and medicine.","speakerId":"1739318943314001rYps_175570351919000gtc26","language":"en","fullName":"Le Cong","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1739318943314001rYps/attprofile/le-cong-featured-200x200_1768239850437001x0mV.jpg","modified":"2025-12-08T19:00:52Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765219961397001xcVc","firstName":"Mengdi","lastName":"Wang","companyName":"Princeton University","jobTitle":"Professor","roles":"Co-Presenter","bio":"Mengdi Wang is co-director of Princeton AI for Accelerated Invention, and a professor of the Department of Electrical and Computer Engineering and the Center for Statistics and Machine Learning at Princeton University. She is also affiliated with the Department of Computer Science, Omenn-Darling Bioengineering Institute, and Princeton Language+Intelligence. She was a visiting research scientist at Google DeepMind, IAS, and Simons Institute on Theoretical Computer Science. Her research focuses on machine learning, reinforcement learning, generative AI, large language models, and AI for science.","speakerId":"1765220682344001isue_175570351919000gtc26","language":"en","fullName":"Mengdi Wang","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765220682344001isue/attprofile/mengdi-wang-1765220682344001isue-headshot-grey-200_1768342145191001Lii9.jpg","modified":"2026-02-06T20:07:20Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765219961397001xcVc","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t14","dayTimeSort":"20260318t1400","endDate":"2026-03-18","endTime":"14:40","endTimeFormatted":"02:40 PM","utcEndTime":"2026/03/18 21:40:00","utcStartTime":"2026/03/18 21:00:00","startTime":"14:00","length":40.0,"isHidden":false,"sessionTimeID":"1769386429719001qlpv","room":"SJCC LL21CD (LL)"}],"abstract":"What if we could dramatically shorten the path from discovery to lifesaving therapy? Discover how Stanford Medicine\u2019s LabOS, an AI extended reality (XR) operating system, makes this a reality. Learn how LabOS drives CRISPR GPT, a groundbreaking AI agent to design complex experiments and deliver step-by-step instructions through augmented reality glasses. LabOS unites computational reasoning with physical experimentation, built on NVIDIA Cosmos-powered XR/AI system. By connecting multi-model AI agents, smart glasses, and robots, LabOS allows AI to see what scientists see, understand experimental context, and assist in real-time execution. From immunotherapy to stem cell engineering, LabOS turns any lab into an intelligent environment where human and machine discovery evolve together\u2014not just accelerating research, but delivering personalized, accessible therapies at unprecedented scale."},{"type":"Talk","sessionId":"1765231224748001zJD6","title":"The Creative OS: AI Built With Human Imagination at the Center","abbreviation":"S81778","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-18T18:00:00.000+00:00","utcEndTime":"2026-03-18T18:40:00.000+00:00","speakers":[{"sessionId":"1765231224748001zJD6","firstName":"Stef","lastName":"Corazza","companyName":"Canva","jobTitle":"Head of AI Research","roles":"Presenter","bio":"Stef leads Canva's AI Research division. His background spans creative efforts in film, animation, and 3D interactive art, complemented by deep expertise in computer graphics, biomechanics, and immersive media.\n\nPreviously, Stef was head of studio at Roblox, where he created the industry's first AI assistant for game development. Before Roblox, he served as vice president at Adobe, leading the augmented reality team following Adobe's acquisition of Mixamo, a company he founded.\n\nStef holds a Ph.D. from the University of Padova and completed a postdoc at Stanford in computer vision and biomechanics. He's also an angel investor and startup advisor who creates music and large-scale artwork.","speakerId":"1765222777317001oQCz_175570351919000gtc26","language":"en","fullName":"Stef Corazza","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765222777317001oQCz/attprofile/stef-corazza-featured-200x200_1768240049816001eJSV.jpg","modified":"2025-12-18T06:48:45Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765231224748001zJD6","date":"2026-03-18","dateFormatted":"Wednesday, March 18","day":"18","dayId":"1766458002288001dUoN","dayName":"Wednesday","daySort":"20260318","dayTimeHour":"20260318t11","dayTimeSort":"20260318t1100","endDate":"2026-03-18","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/18 18:40:00","utcStartTime":"2026/03/18 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1769381710294001lffv","room":"Marriott - Ballroom Salon IV (L2)"}],"abstract":"Explore how Canva engineered AI systems with foundational models that understand creative context; preserve artistic control; and amplify, rather than replace, imagination. We'll share technical approaches for building AI platforms and products where AI becomes an invisible enabler, letting designers focus on their work, from editable designs to video, from web apps to interactive experiences."},{"type":"Talk","sessionId":"1765227513433001fyH4","title":"The Era of GPU Data Processing: From SQL to Search and Back Again","abbreviation":"S81769","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-16T22:00:00.000+00:00","utcEndTime":"2026-03-16T22:40:00.000+00:00","speakers":[{"sessionId":"1765227513433001fyH4","firstName":"Todd","lastName":"Mostak","companyName":"NVIDIA","jobTitle":"Sr. Director of Engineering","roles":"Presenter","bio":"Todd Mostak is a software engineering leader at NVIDIA in the RAPIDS team, where he focuses on GPU-accelerated data processing. Previously, Todd was founder and CEO of HEAVY.AI (originally MapD), where he helped pioneer the use of GPUs for data analytics.","speakerId":"1753251245246001utQI_175570351919000gtc26","language":"en","fullName":"Todd Mostak","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1753251245246001utqi/attprofile/todd-mostak-1753251245246001utqi-headshot-grey-200_1768342238403001zmVc.jpg","modified":"2025-12-08T20:59:27Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765227513433001fyH4","firstName":"Joshua","lastName":"Patterson","companyName":"NVIDIA","jobTitle":"VP, Solutions Architecture - Accelerating Data Processing","roles":"Co-Presenter","bio":"Josh Patterson is vice president of solutions architecture\u2014data processing at NVIDIA, where he helps customers and partners build GPU-accelerated data platforms, query engines, and applications. Previously, he was CEO of Voltron Data, focused on high-performance query engines. He has a long history in large-scale machine learning, distributed systems, and open-source data infrastructure.","speakerId":"1560361591783001z1m1_175570351919000gtc26","language":"en","fullName":"Joshua Patterson","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1560361591783001z1m1/attprofile/joshua-patterson-1560361591783001z1m1-headshot-grey-200_1768342089419001iNjD.jpg","modified":"2025-12-08T21:04:41Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765227513433001fyH4","date":"2026-03-16","dateFormatted":"Monday, March 16","day":"16","dayId":"1766457954902001lwM7","dayName":"Monday","daySort":"20260316","dayTimeHour":"20260316t15","dayTimeSort":"20260316t1500","endDate":"2026-03-16","endTime":"15:40","endTimeFormatted":"03:40 PM","utcEndTime":"2026/03/16 22:40:00","utcStartTime":"2026/03/16 22:00:00","startTime":"15:00","length":40.0,"isHidden":false,"sessionTimeID":"1768963478171001XGrc","room":"SJCC 212AC (L2)"}],"abstract":"This session delivers a technical state of the union on GPU-accelerated data processing across SQL/DataFrames, vector search, ML, and decision optimization. Learn how GPU-native engines enable interactive analytics on massive lakehouse-scale datasets, real-time semantic and vector search over billions of embeddings, and makes the hardest ML and decision science workloads tractable, cost-efficient, and energy-efficient. The talk highlights the implications for high-impact scientific and enterprise computing, then looks ahead to what\u2019s in flight for 2026 and beyond, outlining concrete architectural patterns and practical guidance for building the next generation of GPU-accelerated data platforms and using them in your day-to-day work."},{"type":"Talk","sessionId":"1765116794819001kRL0","title":"Transform Content Delivery With Generative AI at the Edge","abbreviation":"S81690","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-19T17:00:00.000+00:00","utcEndTime":"2026-03-19T17:40:00.000+00:00","speakers":[{"sessionId":"1765116794819001kRL0","firstName":"Kevin","lastName":"Deierling","companyName":"NVIDIA","jobTitle":"SVP, Networking","roles":"Presenter","bio":"Combining both technical and business expertise, Kevin variously served as the chief officer of technology, architecture, and marketing at five startups; all achieved positive business outcomes. He's contributed to multiple technology standards and has over 25 patents in various technology areas. Kevin holds a B.A. in solid state physics from the University of California, Berkeley.","speakerId":"1595881684713001nAFN_175570351919000gtc26","language":"en","fullName":"Kevin Deierling","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1595881684713001nAFN/attprofile/kevin-deierling-catalog-200x200%20%281%29_1729714075090001DCuu_1765117298554001qnPs.jpg","modified":"2025-12-07T14:21:38Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765116794819001kRL0","date":"2026-03-19","dateFormatted":"Thursday, March 19","day":"19","dayId":"1766458042932001DHAB","dayName":"Thursday","daySort":"20260319","dayTimeHour":"20260319t10","dayTimeSort":"20260319t1000","endDate":"2026-03-19","endTime":"10:40","endTimeFormatted":"10:40 AM","utcEndTime":"2026/03/19 17:40:00","utcStartTime":"2026/03/19 17:00:00","startTime":"10:00","length":40.0,"isHidden":false,"sessionTimeID":"1769215694737001aeEx","room":"SJCC LL20CD (LL)"}],"abstract":"As AI reshapes digital experiences, content delivery needs a major transformation. Traditional networks built for static caching can\u2019t meet real-time, personalized expectations. Modern applications require generative AI inference at the edge, close to users and data, to meet strict performance, privacy, and efficiency needs. Learn how edge AI redefines how content is created, delivered, and monetized. \n\nBy combining generative, agentic, and future physical AI with NVIDIA accelerated computing and software, you can synthesize content in real time and tailor experiences to users and markets. Learn how advanced edge compute and intelligent data systems reduce data movement, maintain sovereignty, and deliver adaptive, low-latency experiences across augmented/virtual reality, internet of things, and autonomous systems. Join us to see how Gen AI at the edge unlocks new value and innovation."},{"type":"Talk","sessionId":"1768946066416001paUR","title":"Transforming Retail Commerce and Supply Chain Operations With AI","abbreviation":"S82329","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-16T22:00:00.000+00:00","utcEndTime":"2026-03-16T22:40:00.000+00:00","speakers":[{"sessionId":"1768946066416001paUR","firstName":"Azita","lastName":"Martin","companyName":"NVIDIA","jobTitle":"VP and General Manager, Retail and CPG","roles":"Presenter","bio":"Azita leads NVIDIA's AI initiatives for the retail and consumer package goods (CPG) industries, advising retail and CPG executives on their AI strategy and best practices of leveraging AI, physical AI, and agentic AI to become a highly agile and AI-first company. Azita\u2019s team develops NVIDIA's retail/CPG solution stack, leveraging NVIDIA\u2019s Accelerated computing platform, and builds the ecosystem of software partners for intelligent supply chain, intelligent stores, and ecommerce.","speakerId":"1562003593330001zkMJ_175570351919000gtc26","language":"en","fullName":"Azita Martin","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1562003593330001zkmj/attprofile/azita-martin-1562003593330001zkmj-headshot-grey-200_1770078919065001iCSS.jpg","modified":"2025-12-09T00:33:37Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":false,"times":[{"sessionId":"1768946066416001paUR","date":"2026-03-16","dateFormatted":"Monday, March 16","day":"16","dayId":"1766457954902001lwM7","dayName":"Monday","daySort":"20260316","dayTimeHour":"20260316t15","dayTimeSort":"20260316t1500","endDate":"2026-03-16","endTime":"15:40","endTimeFormatted":"03:40 PM","utcEndTime":"2026/03/16 22:40:00","utcStartTime":"2026/03/16 22:00:00","startTime":"15:00","length":40.0,"isHidden":false,"sessionTimeID":"1769461916795001pFH3","room":"SJCC 230B (L2)"}],"abstract":"Retail and consumer packaged goods (CPG) companies are uniquely positioned to use AI to drive revenue growth and margin expansion. Leading retailers around the world are partnering with NVIDIA to deploy AI at enterprise scale. NVIDIA\u2019s VP and General Manager of Retail and CPG, Azita Martin, will share how retailers can build an end-to-end, CEO-sponsored AI strategy and infrastructure that avoids siloed initiatives and delivers measurable return on investment.\n\nDiscover how agentic AI and physical AI are transforming supply chains and store operations through simulation, robotics, and computer vision, while Agentic Commerce, AI Blueprints, and data science libraries unlock new opportunities in ecommerce and retail media. Learn best practices for deploying AI at scale with interoperability across any cloud and with full ownership of models trained on proprietary retail data."},{"type":"Panel Discussion","sessionId":"1765178174260001I4bp","title":"Transforming the Automotive Industry With Industrial AI and Digital Twins","abbreviation":"S81711","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Panel","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-17T18:00:00.000+00:00","utcEndTime":"2026-03-17T18:40:00.000+00:00","speakers":[{"sessionId":"1765178174260001I4bp","firstName":"Norm","lastName":"Marks","companyName":"NVIDIA","jobTitle":"VP, Automotive Enterprise (Worldwide Field Ops)","roles":"Moderator","bio":"Norm Marks drives NVIDIA\u2019s global automotive industry enterprise go-to-market strategy. His focus is on establishing areas of application for the NVIDIA open, full-stack, and software-defined computing platform to transform the automotive and transportation industries. ","speakerId":"1562003822786001x5j8_175570351919000gtc26","language":"en","fullName":"Norm Marks","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1562003822786001x5j8/attprofile/norm-marks-1562003822786001x5j8-headshot-grey-200_1770079294010001ey9b.jpg","modified":"2025-12-08T07:20:47Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765178174260001I4bp","firstName":"Roberto","lastName":"Henkel","companyName":"Schaeffler","jobTitle":"Senior Vice President Digitalization & Operations IT","roles":"Panelist","bio":"Roberto Henkel is Senior Vice President Digitalization & Operations IT at Schaeffler, leading global IT and AI transformation across more than 100 production plants. An engineer and economist, he drives cloud-based operations, AI-enabled digital factories, OT security, and end-to-end IT for manufacturing, supply chain, and quality. Previously, he held leadership roles including General Manager of Schaeffler Digital Solutions and Vice President Precision Bearings. He holds degrees in Mechanical Engineering and General Management and is a professional mountaineer.","speakerId":"1709839256602001PRAC_175570351919000gtc26","language":"en","fullName":"Roberto Henkel","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1709839256602001prac/attprofile/roberto-henkel-1709839256602001prac-headshot-grey-200_1770079386823001a1qw.jpg","modified":"2026-01-26T14:40:28Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":true,"times":[{"sessionId":"1765178174260001I4bp","date":"2026-03-17","dateFormatted":"Tuesday, March 17","day":"17","dayId":"1766457974090001NX76","dayName":"Tuesday","daySort":"20260317","dayTimeHour":"20260317t11","dayTimeSort":"20260317t1100","endDate":"2026-03-17","endTime":"11:40","endTimeFormatted":"11:40 AM","utcEndTime":"2026/03/17 18:40:00","utcStartTime":"2026/03/17 18:00:00","startTime":"11:00","length":40.0,"isHidden":false,"sessionTimeID":"1769809622184001ZLqX","room":"Marriott - Ballroom Salon III (L2)"}],"abstract":"The automotive industry is undergoing a major shift as AI, simulation, and digital twins redefine how vehicles are designed, engineered, manufactured, and validated. As automakers move to AI-enabled, data-driven development pipelines, they\u2019re unlocking new levels of efficiency, quality, and innovation across the vehicle life cycle.\n\nIn this panel, leaders from NVIDIA, Hyundai, Lucid, and Schaeffler will explore how industrial AI, virtual development environments, large-scale digital twins, and advanced simulation are accelerating automotive innovation. They\u2019ll share real examples of AI-powered design, automated engineering, factory optimization, and robotics training converging into a unified end-to-end pipeline, along with insights on the technologies and collaboration driving industry transformation."},{"type":"Talk","sessionId":"1765183790177001OUqC","title":"Turning Models Into Engines: The AI Factory Era","abbreviation":"S81715","eventCode":"gtc26","language":"en","eventId":"175570351919000gtc26","published":1,"featuredValue":1,"length":40,"status":"Accepted","sessionType":"Talk","featuredSession":true,"viewingExperience":"In-Person","productionType":"On-Demand","utcStartTime":"2026-03-16T22:00:00.000+00:00","utcEndTime":"2026-03-16T22:40:00.000+00:00","speakers":[{"sessionId":"1765183790177001OUqC","firstName":"Gauthier","lastName":"Delerce","companyName":"Mistral AI","jobTitle":"HPC Lead","roles":"Presenter","bio":"After years of leading the delivery of large clusters for Atos, HPE, and NVIDIA, Gauthier joined the Mistral AI rocket to build an European NCP that meets the high-level services requested by MistralAI and its customers. ","speakerId":"1765184741158001EsBJ_175570351919000gtc26","language":"en","fullName":"Gauthier Delerce","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765184741158001esbj/attprofile/gauthier-delerce-1765184741158001esbj-headshot-grey-200_1768342009161001jBUd.jpg","modified":"2025-12-08T09:05:41Z","eventId":"175570351919000gtc26","published":1,"displayOrder":0},{"sessionId":"1765183790177001OUqC","firstName":"Jean-Olivier","lastName":"Gerphagnon","companyName":"Mistral AI","jobTitle":"Software Architect","roles":"Co-Presenter","bio":"Jean-Olivier (JOG), a principal software architect with a decade of experience as the architect of the Bull/Atos/Eviden HPC stack, joined Mistral to develop a state-of-the-aret management stack. ","speakerId":"1765184337296001NkqG_175570351919000gtc26","language":"en","fullName":"Jean-Olivier Gerphagnon","speakerPhotoPublished":"Published","photoUrl":"https://static.rainfocus.com.p.gfnkr.net/nvidia/gtc26/att/1765184337296001nkqg/attprofile/Jean-Olivier-Gerphagnon-1765184337296001NkqG-headshot-grey-200_1767893018293001vfLQ.jpg","modified":"2026-02-03T05:58:08Z","eventId":"175570351919000gtc26","published":1,"displayOrder":1}],"hasMoreSpeakers":false,"times":[{"sessionId":"1765183790177001OUqC","date":"2026-03-16","dateFormatted":"Monday, March 16","day":"16","dayId":"1766457954902001lwM7","dayName":"Monday","daySort":"20260316","dayTimeHour":"20260316t15","dayTimeSort":"20260316t1500","endDate":"2026-03-16","endTime":"15:40","endTimeFormatted":"03:40 PM","utcEndTime":"2026/03/16 22:40:00","utcStartTime":"2026/03/16 22:00:00","startTime":"15:00","length":40.0,"isHidden":false,"sessionTimeID":"1769496057834001Grwu","room":"SJCC 212BD (L2)"}],"abstract":"Step inside Mistral\u2019s journey to industrial-scale AI as we share lessons learned and the principles guiding our approach in creating Mistral Compute. Built on four key pillars\u2014open-source foundations, security by design, sustainability at scale, and digital sovereignty\u2014we\u2019ll share how our approach unlocks bare-metal GPU performance, why that matters in building trusted, European-hosted future-ready AI systems, and how we\u2019re bringing collaboration to the next level by giving innovators access to the same infrastructure powering our models."}]}