NVIDIA RTX 5000 Ada 32GB
The NVIDIA RTX 5000 Ada Generation GPU, powered by the NVIDIA Ada Lovelace architecture, unlocks breakthroughs in generative AI and delivers the performance required to meet the challenges of today’s professional workflows. With 100 third-generation RT Cores, 400 fourth-generation Tensor Cores, 12,800 CUDA® cores, and 32GB of graphics memory, the RTX 5000 excels in rendering, AI, graphics, and compute workload performance.
Specifications
| GPU Features | NVIDIA RTX 5000 Ada Generation |
| GPU Memory | 32 GB GDDR6 with ECC |
| Memory bandwidth | 576GB/s |
| CUDA Cores | 12,800 (Ada Lovelace Architecture) |
| Tensor Cores | 400 (4th gen) |
| RT Cores | 100 (3rd gen) |
| Display Ports | 4x DisplayPort 1.4 |
| Max Power Consumption | 250 W |
| Graphics Bus | PCI Express Gen 4 x 16 |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
| NVLink | Not Supported |
| vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation |
| vGPU Profiles Supported | See the Virtual GPU Licensing Guide |
| VR Ready | Yes |
NVIDIA Powers New Systems for Gen AI, Content Creation, Data Science
New RTX 5000 is a significant leap in performance over the previous generation, delivering next-gen capabilities for AI and 3D graphics workloads.
Powered by the NVIDIA Ada Lovelace Architecture
Ada Lovelace Architecture-Based
CUDA Cores
2X the speed of the previous generation for single-precision floating-point (FP32) operations provides significant performance improvements for graphics and simulation workflows on the desktop, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).
Third-Generation RT Cores
With over 2X the throughput over the previous generation, third-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also accelerates the rendering of ray-traced motion blur with greater visual accuracy.
Fourth-Generation Tensor Cores
Fourth-generation Tensor Cores deliver up to 4X the AI compute performance of the previous generation. These Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up execution of mixed floating-point and integer calculations.
32 Gigabytes (GB) of GPU Memory
With 32GB of GDDR6 memory, RTX 5000 gives data scientists, engineers, and creative professionals the GPU memory needed to work with large datasets and workloads like rendering, data analytics, and simulation.
Virtualization-Ready
Support for NVIDIA RTX Virtual Workstation (vWS) software allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances, letting remote users share resources to drive high-end design, AI, and compute workloads.
AV1 Encoders
Eighth-generation dedicated hardware encoder (NVENC) with AV1 encoding unlocks new opportunities for streamers, broadcasters, and video conferencing. It’s 40% more efficient than H.264, allowing users streaming at 1080p to increase their resolution to 1440p while running at the same bitrate and quality.