What are the CUDA compatibility guarantees?
CUDA Compatibility guarantees allow for upgrading only certain components and that will be the focus of the rest of this document. We will see how the upgrade to a new CUDA Toolkit can be simplified to not always require a full system upgrade. 2. Minor Version Compatibility
What is the binary-compatibility of the CUDA toolkit?
In addition, the binary-compatibility is in one direction: backwards. Each version of the CUDA Toolkit (and runtime) requires a minimum version of the NVIDIA driver. The CUDA driver ( libcuda.so on Linux for example) included in the NVIDIA driver package, provides binary backward compatibility.
What are the minimum CUDA Driver versions?
CUDA Toolkit 10.x Minimum Required Driver Versions CUDA Toolkit Linux x86_64 Minimum Required Driver Version Windows MinimumRequired Driver Version CUDA 10.2 >= 440.33 >=441.22 CUDA 10.1 >= 418.39 >=418.96 CUDA 10.0 >= 410.48 >=411.31
Can older drivers upgrade to CUDA 111?
With minor version compatibility, upgrades to CUDA 11.1 is now possible on older drivers from within the same major release family such as 450.80.02 that was shipped with CUDA 11.0, as shown below:
How to check which version of CUDA and cuDNN is supported?
To check which version of CUDA and CUDNN is supported by the hardware or the GPU that is installed in your computer. The first step is to check the compute capability of your GPU, for that you need to visit the website of that GPU’s manufacturer. As CUDA is mostly supported by NVIDIA, so to check the compute capability, visit: Official Website.
Is the CUDA toolkit backwards compatible?
In addition, the binary-compatibility is in one direction: backwards. Each version of the CUDA Toolkit (and runtime) requires a minimum version of the NVIDIA driver. The CUDA driver (libcuda.soon Linux for example) included in the NVIDIA driver package, provides binary backward compatibility.
What is Turing compatibility guide for CUDA applications?
This application note, Turing Compatibility Guide for CUDA Applications, is intended to help developers ensure that their NVIDIA ® CUDA ® applications will run on GPUs based on the NVIDIA ® Turing Architecture.