# NVIDIA RTX A5000 Graphics Card

Perfectly Balanced. Blazing Performance.

Spearhead innovation from your desktop with the NVIDIA RTX™ A5000 graphics card, the perfect balance of power, performance, and reliability to tackle complex workflows. Built on the latest NVIDIA Ampere architecture and featuring 24 gigabytes (GB) of GPU memory, it’s everything designers, engineers, and artists need to realize their visions for the future, today.

[**View NVIDIA RTX A5000 Data Sheet** (PDF 341 KB)](https://resources.nvidia.com/en-us-briefcase-for-datasheets/nvidia-rtx-a5000-dat-1?ncid=no-ncid)

[Where To Buy](https://www.nvidia.com/en-us/design-visualization/where-to-buy.md)

## Powered by the NVIDIA Ampere Architecture

### NVIDIA Ampere Architecture-Based CUDA Cores

Accelerate graphics workflows with the latest CUDA® cores for up to 2.5X single-precision floating-point (FP32) performance compared to the previous generation.

### Second-Generation RT Cores

Produce more visually accurate renders faster with hardware-accelerated motion blur and up to 2X faster [ray-tracing](https://developer.nvidia.com/rtx/raytracing) performance than the previous generation.

### Third-Generation Tensor Cores

Boost AI and data science model training with up to 10X faster training performance compared to the previous generation with hardware-support for structural sparsity.

### 24GB of GPU Memory

Tackle memory-intensive workloads, from virtual production to engineering simulation, with 24 GB of GDDR6 memory with ECC.

### Virtualization-Ready

Repurpose your personal workstation into multiple high-performance virtual workstations with support for [NVIDIA RTX Virtual Workstation (vWS) software](https://www.nvidia.com/en-us/design-visualization/virtual-workstation.md).

### Third-Generation NVIDIA NVLink

Scale memory and performance across multiple GPUs with [NVIDIA® NVLink™](https://www.nvidia.com/en-us/products/workstations/nvlink-bridges.md) to tackle larger datasets, models, and scenes.

### PCI Express Gen 4

Improve data-transfer speeds from CPU memory for data-intensive tasks with support for PCI Express Gen 4.

### Power Efficiency

Leverage a dual-slot, power efficient design that’s 2.5X more power efficient than the previous generation and crafted to fit a wide range of workstations.

[Learn more about the NVIDIA Ampere architecture](https://www.nvidia.com/en-us/technologies/ampere-architecture.md)

## Specifications

| GPU Features | NVIDIA RTX A5000 |
| --- | --- |
| GPU Memory | 24GB GDDR6 with error-correction code (ECC) |
| Display Ports | 4x DisplayPort 1.4\* |
| Max Power Consumption | 230 W |
| Graphics Bus | PCI Express Gen 4 x 16 |
| Form Factor | 4.4” (H) x 10.5” (L) Dual Slot |
| Thermal | Active |
| NVLink | 2-way low profile (2-slot and 3-slot bridges) |
| Virtual GPU (vGPU) Software Support | NVIDIA Virtual PC (vPC) and Virtual Applications (vApps), NVIDIA RTX vWS, NVIDIA Virtual Compute Server |
| vGPU Profiles Supported | [See the Virtual GPU Licensing Guide](https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/Virtual-GPU-Packaging-and-Licensing-Guide.pdf) |
| VR Ready | Yes |

\*Display ports are on by default for RTX A5000. Turn display ports off when using vGPU software.

## Design Showcase: RTX All Stars

See how 3D artists, architects, and product designers are using the powerful features of NVIDIA RTX™ and Omniverse™ to elevate graphics workflows—producing captivating work that has pushed them to the level of NVIDIA RTX All Stars.

[Download Now](https://resources.nvidia.com/en-us-design-viz-stories-ep/proviz-print-rtx-all-stars?lx=CCKW39&&contentType=ebook)

## Multi-GPU Scalability

### NVIDIA NVLink Bridge

NVLink enables professional applications to easily scale memory and performance with multi-GPU configurations. With a low-profile design that fits into a variety of systems, [**NVIDIA NVLink Bridges**](https://www.nvidia.com/en-us/products/workstations/nvlink-bridges.md) allow you to connect two RTX A5000s. This delivers up to 112 gigabytes per second (GB/s) of bandwidth and a combined 48GB of GDDR6 memory to tackle memory-intensive workloads.

### Ready to buy? Find an NVIDIA partner.

[Where to Buy](https://www.nvidia.com/en-us/design-visualization/where-to-buy.md)