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
|Quadro RTX 8000||7.5|
|Quadro RTX 6000||7.5|
|Quadro RTX 5000||7.5|
|Quadro RTX 4000||7.5|
|Quadro M6000 24GB||5.2|
|Quadro Plex 7000||2.0|
Frequently Asked Questions
- 1) How can I find out which GPU is in my computer?
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?
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.