CUDA GPUs
Recommended GPU for Developers
NVIDIA TITAN RTX
NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accelerating AI, and 72 RT cores for accelerating ray tracing. It also includes 24 GB of GPU memory for training neural networks with large batch sizes, processing big datasets and working with large animation models and other memory-intensive workflows. And don’t forget, TITAN was purpose-built for our developers but it’s also still the world’s fastest gaming GPU!
Your GPU Compute Capability
Are you looking for the compute capability for your GPU, then check the tables below.
NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers.
Get started with CUDA and GPU Computing by joining our free-to-join NVIDIA Developer Program.
- Learn about the CUDA Toolkit
- Learn about Tesla for technical and scientific computing
- Learn about Quadro for professional visualization
- Learn about Jetson for AI autonomous machines
If you have an older NVIDIA GPU you may find it listed on our legacy CUDA GPUs page
Click the sections below to expand
CUDA-Enabled Tesla ProductsTesla Workstation Products
| GPU | Compute Capability |
|---|---|
| Tesla K80 | 3.7 |
| Tesla K40 | 3.5 |
| Tesla K20 | 3.5 |
| Tesla C2075 | 2.0 |
| Tesla C2050/C2070 | 2.0 |
NVIDIA Data Center Products
| GPU | Compute Capability |
|---|---|
| NVIDIA A100 | 8.0 |
| NVIDIA T4 | 7.5 |
| NVIDIA V100 | 7.0 |
| Tesla P100 | 6.0 |
| Tesla P40 | 6.1 |
| Tesla P4 | 6.1 |
| Tesla M60 | 5.2 |
| Tesla M40 | 5.2 |
| Tesla K80 | 3.7 |
| Tesla K40 | 3.5 |
| Tesla K20 | 3.5 |
| Tesla K10 | 3.0 |
CUDA-Enabled Quadro ProductsQuadro Desktop Products
| GPU | Compute Capability |
|---|---|
| Quadro RTX 8000 | 7.5 |
| Quadro RTX 6000 | 7.5 |
| Quadro RTX 5000 | 7.5 |
| Quadro RTX 4000 | 7.5 |
| Quadro GV100 | 7.0 |
| Quadro GP100 | 6.0 |
| Quadro P6000 | 6.1 |
| Quadro P5000 | 6.1 |
| Quadro P4000 | 6.1 |
| Quadro P2200 | 6.1 |
| Quadro P2000 | 6.1 |
| Quadro P1000 | 6.1 |
| Quadro P620 | 6.1 |
| Quadro P600 | 6.1 |
| Quadro P400 | 6.1 |
| Quadro M6000 24GB | 5.2 |
| Quadro M6000 | 5.2 |
| Quadro K6000 | 3.5 |
| Quadro M5000 | 5.2 |
| Quadro K5200 | 3.5 |
| Quadro K5000 | 3.0 |
| Quadro M4000 | 5.2 |
| Quadro K4200 | 3.0 |
| Quadro K4000 | 3.0 |
| Quadro M2000 | 5.2 |
| Quadro K2200 | 5.0 |
| Quadro K2000 | 3.0 |
| Quadro K2000D | 3.0 |
| Quadro K1200 | 5.0 |
| Quadro K620 | 5.0 |
| Quadro K600 | 3.0 |
| Quadro K420 | 3.0 |
| Quadro 410 | 3.0 |
| Quadro Plex 7000 | 2.0 |
Quadro Mobile Products
| GPU | Compute Capability |
|---|---|
| RTX 5000 | 7.5 |
| RTX 4000 | 7.5 |
| RTX 3000 | 7.5 |
| T2000 | 7.5 |
| T1000 | 7.5 |
| P620 | 6.1 |
| P520 | 6.1 |
| Quadro P5200 | 6.1 |
| Quadro P4200 | 6.1 |
| Quadro P3200 | 6.1 |
| Quadro P5000 | 6.1 |
| Quadro P4000 | 6.1 |
| Quadro P3000 | 6.1 |
| Quadro P2000 | 6.1 |
| Quadro P1000 | 6.1 |
| Quadro P600 | 6.1 |
| Quadro P500 | 6.1 |
| Quadro M5500M | 5.2 |
| Quadro M2200 | 5.2 |
| Quadro M1200 | 5.0 |
| Quadro M620 | 5.2 |
| Quadro M520 | 5.0 |
| Quadro K6000M | 3.0 |
| Quadro K5200M | 3.0 |
| Quadro K5100M | 3.0 |
| Quadro M5000M | 5.0 |
| Quadro K500M | 3.0 |
| Quadro K4200M | 3.0 |
| Quadro K4100M | 3.0 |
| Quadro M4000M | 5.0 |
| Quadro K3100M | 3.0 |
| Quadro M3000M | 5.0 |
| Quadro K2200M | 3.0 |
| Quadro K2100M | 3.0 |
| Quadro M2000M | 5.0 |
| Quadro K1100M | 3.0 |
| Quadro M1000M | 5.0 |
| Quadro K620M | 5.0 |
| Quadro K610M | 3.5 |
| Quadro M600M | 5.0 |
| Quadro K510M | 3.5 |
| Quadro M500M | 5.0 |
CUDA-Enabled NVS ProductsDesktop Products
| GPU | Compute Capability |
|---|---|
| NVIDIA NVS 810 | 5.0 |
| NVIDIA NVS 510 | 3.0 |
| NVIDIA NVS 315 | 2.1 |
| NVIDIA NVS 310 | 2.1 |
Mobile Products
| GPU | Compute Capability |
|---|---|
| NVS 5400M | 2.1 |
| NVS 5200M | 2.1 |
| NVS 4200M | 2.1 |
CUDA-Enabled GeForce and TITAN ProductsGeForce and TITAN Products
GeForce Notebook Products
CUDA-Enabled Jetson ProductsJetson Products
| GPU | Compute Capability |
|---|---|
| Jetson AGX Xavier | 7.2 |
| Jetson Nano | 5.3 |
| Jetson TX2 | 6.2 |
| Jetson TX1 | 5.3 |
| Tegra X1 | 5.3 |
Frequently Asked Questions
- 1) How can I find out which GPU is in my computer?
-
Answer:
On Windows computers:
- Right-click on desktop
- If you see "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window, you have an NVIDIA GPU
- Click on "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window
- Look at "Graphics Card Information"
- You will see the name of your NVIDIA GPU
On Apple computers:
- Click on "Apple Menu"
- Click on "About this Mac"
- Click on "More Info"
- Select "Graphics/Displays" under Contents list
- 2) Do I have a CUDA-enabled GPU in my computer?
- Answer: Check the list above to see if your GPU is on it. If it is, it means your computer has a modern GPU that can take advantage of CUDA-accelerated applications.
- 3) How do I know if I have the latest drivers?
- Answer: Go to www.nvidia.com/drivers
- 4) How can I obtain a CUDA-enabled GPU or system?
-
Answer:
For Tesla for HPC and supercomputing applications, go to www.nvidia.com/object/tesla_wtb.html
For GeForce for entertainment, go to www.nvidia.com/object/geforce_family.html
For Quadro for professional visualization, go to www.nvidia.com/object/workstation_wheretobuy.html - 5) How can I download the CUDA Toolkit?
- Answer: Go to CUDA Toolkit Downloads.