NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers.

Find out all about CUDA and GPU Computing by attending our GPU Computing Webinars and joining our free-to-join NVIDIA Developer Program.

  • Learn about Tesla for technical and scientific computing
  • Learn about Quadro for professional visualization

If you have an older NVIDIA GPU you may find it listed on our legacy CUDA GPUs page
Click the sections below to expand


(*) OEM-only products

(**) The GeForce GTX860 and GTX870 come in two versions depending on the SKU, please check with your OEM to determine which one is in your system.

  1. 1152 Kepler Cores with Compute Capability 3.0
  2. 640 Maxwell Cores with higher clocks and Compute Capability 5.0 or 5.2

Frequently Asked Questions

1) How can I find out which GPU is in my computer?

On Windows computers:

  1. Right-click on desktop
  2. If you see "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window, you have an NVIDIA GPU
  3. Click on "NVIDIA Control Panel" or "NVIDIA Display" in the pop-up window
  4. Look at "Graphics Card Information"
  5. You will see the name of your NVIDIA GPU

On Apple computers:

  1. Click on "Apple Menu"
  2. Click on "About this Mac"
  3. Click on "More Info"
  4. 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?
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.