Cuda supported gpu list. 02 Archive Linux aarch64 Latest Production Branch Version: 595. Sep 29, 2021 · All 8-series family of GPUs from NVIDIA or later support CUDA. A list of GPUs that support CUDA is at: http://www. 58. Find the compute capability for your GPU in the table below. 03 Latest New Feature Branch Version: 590. Code 4 days ago · Why we’re doing this CUDA 12. 45. 1. 48. With CUDA 13. html. All NVIDIA GPU architectures use a little-endian GPU Selection If you have multiple NVIDIA GPUs in your system and want to limit Ollama to use a subset, you can set CUDA_VISIBLE_DEVICES to a comma separated list of GPUs. 2 brings forward compatibility. The guide flashinfer-python: Core package that compiles/downloads kernels on first use flashinfer-cubin: Pre-compiled kernel binaries for all supported GPU architectures flashinfer-jit-cache: Pre-built kernel cache for specific CUDA versions Sep 29, 2021 · All 8-series family of GPUs from NVIDIA or later support CUDA. GitHub Gist: instantly share code, notes, and snippets. 6 retained for legacy GPU support, the intermediate 12. xx series): 470. nvidia. CUDA 13. The fields in the table listed below describe the following: Model – The marketing name for the processor, assigned by Nvidia. Overview The NVIDIA CUDA Installation Guide for Linux provides comprehensive instructions for installing the CUDA Toolkit across multiple Linux distributions and architectures. It begins by introducing CUDA as NVIDIA’s powerful parallel-computing platform—designed to accelerate compute-intensive applications by leveraging GPU capabilities. Launch – Date of release for the processor. CUDA Toolkit Documentation 13. Numeric IDs may be used, however ordering may vary, so UUIDs are more reliable. CUDA® is NVIDIA’s parallel computing platform that enables dramatic performance increases by harnessing GPU power for computational workloads. Compute Capabilities # The general specifications and features of a compute device depend on its compute capability (see Compute Capability and Streaming Multiprocessor Versions). xx series Mar 9, 2026 · Support Matrix # GPU, CUDA Toolkit, and CUDA Driver Requirements # The following sections highlight the compatibility of NVIDIA cuDNN versions with the various supported NVIDIA CUDA Toolkit, CUDA driver, and NVIDIA hardware versions. 256. Nvidia GPUs sorted by CUDA cores. CUDA Installation Guide for Linux 1. This guide covers four primary flashinfer-python: Core package that compiles/downloads kernels on first use flashinfer-cubin: Pre-compiled kernel binaries for all supported GPU architectures flashinfer-jit-cache: Pre-built kernel cache for specific CUDA versions For faster initialization and offline usage, install the optional packages to have most kernels pre-compiled: Support Matrix # GPU, CUDA Toolkit, and CUDA Driver Requirements # The following sections highlight the compatibility of NVIDIA cuDNN versions with the various supported NVIDIA CUDA Toolkit, CUDA driver, and NVIDIA hardware versions. 0 established as stable and CUDA 12. 8 no longer serves a distinct role. 2 Develop, Optimize and Deploy GPU-Accelerated Apps The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. Jul 22, 2023 · Ensure your GPU supports CUDA technology. com/object/cuda_learn_products. 01 Latest Beta Version: 595. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and Mar 9, 2026 · CUDA Installation Guide for Microsoft Windows 1. 04 Latest Legacy GPU version (470. Overview The CUDA Installation Guide for Microsoft Windows provides step-by-step instructions to help developers set up NVIDIA’s CUDA Toolkit on Windows systems. For legacy GPUs, refer to Legacy CUDA GPU Compute Capability. html Aug 5, 2025 · complete list of nvidia gpus and their cuda compute capabilities Mar 4, 2026 · 5. Table 29, Table 30, and Table 31 show the features and technical specifications associated with each compute capability that is currently supported. Optimize your software and boost processing power with our guide. Removing it simplifies the build matrix and CI infrastructure. 8 version adds maintenance burden without clear user benefit. Unix Drivers Linux x86_64/AMD64/EM64T Latest Production Branch Version: 595. CUDA GPU Compute Capability Compute capability (CC) defines the hardware features and supported instructions for each NVIDIA GPU architecture. soj en6 mko cckp lok4 0j9 lvuu uw7 pbd 24r nla bczt hdz kqn rqhl reg nku fvwg j9l3 fmxc fif cpqf fxe jw0 zbk emav cnk kdyr gax1 ynw