![]() Testing of all parameters of each product is not necessarily performed by NVIDIA. NVIDIA makes no representation or warranty that products based on this document will be suitable for any specified use. NVIDIA accepts no liability for inclusion and/or use of NVIDIA products in such equipment or applications and therefore such inclusion and/or use is at customer’s own risk. NVIDIA products are not designed, authorized, or warranted to be suitable for use in medical, military, aircraft, space, or life support equipment, nor in applications where failure or malfunction of the NVIDIA product can reasonably be expected to result in personal injury, death, or property or environmental damage. No contractual obligations are formed either directly or indirectly by this document. NVIDIA hereby expressly objects to applying any customer general terms and conditions with regards to the purchase of the NVIDIA product referenced in this document. NVIDIA products are sold subject to the NVIDIA standard terms and conditions of sale supplied at the time of order acknowledgement, unless otherwise agreed in an individual sales agreement signed by authorized representatives of NVIDIA and customer (“Terms of Sale”). NVIDIA reserves the right to make corrections, modifications, enhancements, improvements, and any other changes to this document, at any time without notice.Ĭustomer should obtain the latest relevant information before placing orders and should verify that such information is current and complete. This document is not a commitment to develop, release, or deliver any Material (defined below), code, or functionality. NVIDIA shall have no liability for the consequences or use of such information or for any infringement of patents or other rights of third parties that may result from its use. NVIDIA Corporation (“NVIDIA”) makes no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assumes no responsibility for any errors contained herein. This document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. Visual Studio Versions Based on Your Version of CUDA Refer to the following table to view the list of supported Visual Studio versions for cuDNN. ![]() Windows 10 and Windows Server 20 are supported. Refer to the following table to view the list of supported Linux versions for cuDNN.ĪArch64 incorporates ARM ® based CPU cores for Server Base System Architecture (SBSA). ![]() How can I install CUDA to work correctly with my older nvidia driver so I can conduct some GPU computations? Is there a list someplace that lists the what CUDA toolkits go with each NVIDIA driver? I suspect I need an older toolkit, I just don't know which one.The following tables highlight the compatibility of cuDNN versions with the various supported OS versions.įor the requirements of previously released versions of cuDNN documentation, refer to the NVIDIA cuDNN Archives. The Linux Getting Started Manual says I should just need to install CUDA with apt-get but I need an older driver for my graphics card. I have verified that the nvidia-346 is the problem by specifically installing it as opposed to nvidia-current. Naturally, I thought I could then install cuda with: sudo apt-get install cudaīut this tries to install nvidia-346 on my system causing my system to no longer display my desktop and the installation is incorrect. Sudo apt-get install nvidia-current (this installs nvidia-304 in my case)Īfter rebooting, a quick query shows that my kernel is indeed using nvidia successfully lspci -vnn | grep -i VGA -A 12Ġ1:00.0 VGA compatible controller : NVIDIA Corporation GT218 (rev a2) (prog-if 00 ) I have tried to complete the installation successfully but have stumbled upon a problem. I have been provided an older NVIDIA graphics card (GeForce 8400 GS) to begin exploring some GPU computing.
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