NVIDIA RTX in Professional Workstations
Professional Workstation Solutions
NVIDIA RTX technology is one of NVIDIA’s most important advances in computer graphics, ushering in a new generation of applications that simulate the physical world at unprecedented speeds.
Customize Workstation Configurations According to Your Needs
Explore our premium line of desktop workstations, meticulously designed to transform your productivity at home or in the office. Built with cutting-edge technology and unparalleled stability, Omniwise desktop workstations empower you to tackle the most demanding tasks with ease, giving you the flexibility and performance needed to stay ahead in any environment.
Video Editing & Rendering
Manufacturing & 3D Modeling
Graphic Design & Photography
Oil & Gas Research
Architectural Engineering & Construction
Simulation & Visualization
AI & Deep Learning
MultiCuda & GPU Computing
NVIDIA RTX 6000 Ada Workstation
48 GB of GDDR6X, 18,176 CUDA cores, 568 Tensor Cores, PCIe 4.0 x16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 6000 Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 6000 Ada |
|---|---|
| GPU Memory | 48GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 300W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX 5000 Ada Workstation
24 GB of GDDR6, 7,680 CUDA cores, 240 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 5000 Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 5000 Ada |
|---|---|
| GPU Memory | 32GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 250W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX 4500 Ada Workstation
32 GB of GDDR6, 12,800 CUDA cores, 400 Tensor Cores, PCIe 4.0 x16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 4500 Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 4500 Ada |
|---|---|
| GPU Memory | 24GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 210W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX 4000 Ada Workstation
20 GB of GDDR6, 6,144 CUDA cores, 192 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 4000 Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 4000 Ada |
|---|---|
| GPU Memory | 20GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 130W |
| Form Factor | 4.4” (H) x 9.5” (L) single slot |
| Thermal | Active |
NVIDIA RTX 4000 SFF Ada Workstation
20 GB of GDDR6, 6,144 CUDA cores, 192 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 4000SFF Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 4000 SFF Ada |
|---|---|
| GPU Memory | 20GB GDDR6 with ECC |
| Display Ports | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 70W |
| Form Factor | 2.7” (H) x 6.6” (L) dual slot |
| Thermal | Active |
NVIDIA RTX 2000 Ada Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX 2000 Ada Generation
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX 2000 Ada |
|---|---|
| GPU Memory | 16GB GDDR6 with ECC |
| Display Ports | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 70W |
| Form Factor | 2.7” (H) x 6.6” (L) dual slot |
| Thermal | Active |
Compare Ada Lovelace Series GPUs
| RTX 6000 | RTX 5000 | RTX 4500 | RTX 4000 | RTX 4000 SFF | RTX 2000 | |
|---|---|---|---|---|---|---|
| GPU Memory | 48GB GDDR6 with ECC | 32GB GDDR6 with ECC | 24GB GDDR6 with ECC | 20GB GDDR6 with ECC | 20GB GDDR6 with ECC | 16GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a* | 4x DisplayPort 1.4a* | 4x DisplayPort 1.4a | 4x DisplayPort 1.4 | 4x Mini DisplayPort 1.4a | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 300W | 250W | 210W | 130W | 70W | 70W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot | 4.4” (H) x 10.5” (L) dual slot | 4.4″ (H) x 10.5″ (L) dual slot | 4.4” (H) x 9.5” (L) single slot | 2.7” (H) x 6.6” (L) dual slot | 2.7” (H) x 6.6” (L) dual slot |
| Thermal | Active | Active | Active | Active | Active | Active |
NVIDIA RTX A Series Graphics Solution
NVIDIA RTX A6000 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for NVLink Bridge
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A6000
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A6000 |
|---|---|
| GPU Memory | 48GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 300W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX A5500 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for NVLink Bridge
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A5500
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A5500 |
|---|---|
| GPU Memory | 24GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 230W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX A5000 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for NVLink Bridge
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A5000
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A5000 |
|---|---|
| GPU Memory | 24GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 230W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX A4500 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for NVLink Bridge
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A4500
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A4500 |
|---|---|
| GPU Memory | 20GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 200W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot |
| Thermal | Active |
NVIDIA RTX A4000 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A4000
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A4000 |
|---|---|
| GPU Memory | 16GB GDDR6 with ECC |
| Display Ports | 4x DisplayPort 1.4a |
| Max Power Consumption | 140W |
| Form Factor | 4.4” (H) x 9.5” (L) single slot |
| Thermal | Active |
NVIDIA RTX A2000 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
- Support for up to 64 cores
- Support for up to 4x NVIDIA RTX A2000
- RAM: 64GB to 512GB system memory
- OS Space: Up to 2TB OS space (NVMe)
- Up to 32TB storage (SATA)
- System Case
- Ubuntu 18.04/20.04/22.04 Installation
- System Optimized NVIDIA GPU Drivers, TensorFlow, PyTorch, NV-Docker, OpenCV Installation
| Product Name | RTX A2000 |
|---|---|
| GPU Memory | 6GB | 12GB GDDR6 with ECC |
| Display Ports | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 70W |
| Form Factor | 2.7” (H) x 6.6” (L) dual slot |
| Thermal | Active |
NVIDIA RTX A1000 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
Built on NVIDIA Ampere GPU architecture, the NVIDIA RTX A1000 GPU is a powerful, low-profile solution that delivers the performance and capabilities required by demanding professional applications. With 2,304 CUDA Cores, 18 RT Cores, 72 Tensor Cores, 8GB of GDDR6 memory, and the ability to drive up to four 5K displays, the NVIDIA RTX A1000 is ready to take your work to the next level.
| Product Name | RTX A1000 |
|---|---|
| GPU Memory | 8GB GDDR6 |
| Display Ports | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 50W |
| Form Factor | 2.7” (H) x 6.4” (L) single slot |
| Thermal | Active |
NVIDIA RTX A400 Workstation
16 GB of GDDR6, 2,816 CUDA cores, 88 Tensor Cores, PCIe 4.0×16
The NVIDIA RTX A400, built on the NVIDIA Ampere GPU architecture, brings the power of AI and ray-tracing acceleration into the hands of more professionals. The RTX A400 ensures AI-powered workflows and stunning ray-traced visuals are delivered with unprecedented performance in a space-saving design. Plus, you can connect up to four native displays to expand your visual horizons.
| Product Name | RTX A400 |
|---|---|
| GPU Memory | 4GB GDDR6 |
| Display Ports | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 50W |
| Form Factor | 2.7” (H) x 6.4” (L) single slot |
| Thermal | Active |
Compare Ampere Series GPUs
| A800 40GB | RTX A6000 | RTX A5500 | RTX A5000 | RTX A4500 | RTX A4000 | RTX A2000 | RTX A1000 | RTX A400 | |
|---|---|---|---|---|---|---|---|---|---|
| GPU Memory | 40GB HBM2 | 48GB GDDR6 with ECC | 24GB GDDR6 with ECC | 24GB GDDR6 with ECC | 20GB GDDR6 with ECC | 16GB GDDR6 with ECC | 6GB | 12GB GDDR6 with ECC | 8GB GDDR6 | 4GB GDDR6 |
| Display Ports | Not equipped | 4x DisplayPort 1.4a* | 4x DisplayPort 1.4a* | 4x DisplayPort 1.4a* | 4x DisplayPort 1.4a | 4x DisplayPort 1.4a | 4x Mini DisplayPort 1.4a | 4x Mini DisplayPort 1.4a | 4x Mini DisplayPort 1.4a |
| Max Power Consumption | 240W | 300W | 230w | 230W | 200W | 140W | 70W | 50W | 50W |
| Form Factor | 4.4” (H) x 10.5” (L) dual slot | 4.4” (H) x 10.5” (L) dual slot | 4.4″ (H) x 10.5″ (L) dual slot | 4.4” (H) x 10.5” (L) dual slot | 4.4” (H) x 10.5” (L) dual slot | 4.4” (H) x 9.5” (L) single slot | 2.7” (H) x 6.6” (L) dual slot | 2.7” (H) x 6.4” (L) single slot | 2.7” (H) x 6.4” (L) single slot |
| Thermal | Active | Active | Active | Active | Active | Active | Active | Active | Active |