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CUDA DL Release Notes

CUDA Deep Learning image extends the CUDA images by adding networking support and additional libraries to accelerate deep learning workloads like cuDNN, cuTensor, NCCL, and HPC-x. These images are provided for use as a base layer upon which to build your own GPU-accelerated application container image. Two flavors of CUDA Deep Learning containers are provided: runtime and devel, where the latter adds compilers and development tools. This document describes the key features, software enhancements and improvements, known issues, and how to run this container.

For a complete view of the supported software and specific versions that are packaged with the frameworks based on the container image, see the Frameworks Support Matrix.

Note:

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to see the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

CUDA DL Release Notes

CUDA DL Release Notes

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