![]() ![]() ![]() CUDA minor version compatibility is described in detail in Table 2 CUDA Toolkit and Minimum Required Driver Version for CUDA Minor Version Compatibility The minimum required driver version for CUDA minor version compatibility is shown below. Note: Starting with CUDA 11.0, the toolkit components are individually versioned, and the toolkit itself is versioned as shown in the table below. ![]() More information on compatibility can be found at. The CUDA driver is backward compatible, meaning that applications compiled against a particular version of the CUDA will continue to work on subsequent (later) driver releases. Įach release of the CUDA Toolkit requires a minimum version of the CUDA driver. For more information various GPU products that are CUDA capable, visit. Running a CUDA application requires the system with at least one CUDA capable GPU and a driver that is compatible with the CUDA Toolkit. Starting with CUDA 11, the various components in the toolkit are versioned independently.įor CUDA 12.3 Update 2, the table below indicates the versions: Table 1 CUDA 12.3 Update 2 Component Versions CUDA Toolkit Major Component Versions CUDA Components pkg) and hash checking instructions, see Installing Miniconda.The release notes have been reorganized into two major sections: the general CUDA release notes, and the CUDA libraries release notes including historical information for 12.x releases. These quick command line instructions will get you set up quickly with the latest Miniconda installer. For an archive of Miniconda versions, see. For installers for older versions of Python, see Other installer links. This list of installers is for the latest release of Python: 3.11.5. Latest Miniconda installer links by Python version. ![]()
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