Compute capability (CC) defines the hardware features and supported instructions for each NVIDIA GPU architecture. Find the compute capability for your GPU in the table below.

Aug 6, 2025 · The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it lays the …

Q: Which GPUs support running CUDA-accelerated applications? CUDA is a standard feature in all NVIDIA GeForce, Quadro, and Tesla GPUs as well as NVIDIA GRID solutions.

Join our lead CUDA® product manager for a step-by-step walkthrough of how to approach writing a GPU program in CUDA: how to begin, what to think about, what to avoid, and what to watch out for.

May 2, 2025 · A quick and easy introduction to CUDA programming for GPUs. This post dives into CUDA C++ with a simple, step-by-step parallel programming example.

Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support.

Dec 10, 2024 · Even though CUDA 12.6 is installed and recognized by the system, PyTorch is not detecting the CUDA devices. I’m unsure why my GPU is not being recognized by PyTorch, and I’d …

May 1, 2025 · NVIDIA's CUDA platform is designed to be backward compatible, allowing new GPUs to run programs written for previous GPUs without modification, thanks to NVIDIA Parallel Thread …

Learn what's new in the CUDA Toolkit, including the latest and greatest features in the CUDA language, compiler, libraries, and tools—and get a sneak peek at what's coming up over the next year.

CUDA Toolkit 8.0 GA2 (Feb 2017), Online Documentation CUDA Toolkit 8.0 GA1 (Sept 2016), Online Documentation CUDA Toolkit 7.5 (Sept 2015) CUDA Toolkit 7.0 (March 2015) CUDA Toolkit 6.5 …