Base Command Manager / Bright Cluster Manager Release Notes
Release notes for Bright 8.2-30
== General ==
- Improvements
* Updated mlnx-ofed58 to 5.8-2.0.3.0
* Updated mlnx-ofed49 to 4.9-6.0.6.0
- Fixed Issues
* An issue where the CM Lmod package may be replaced by an Lmod package from EPEL
* An issue with cm-chroot-sw-img unable to execute a shell in the software image when the user has defined a $SHELL environment variable with a shell that is not present in the software image
== CMDaemon ==
- Fixed Issues
* An issue where CMDaemon may stop the slurmd service when the CheckIfNodeConfiguredInScheduler configuration option is set to a non-default "0" value
== Node Installer ==
- Fixed Issues
* An issue where the RDMA settings are not added to the corresponding entries in the /etc/fstab file when using NFS over RDMA
== Cluster Tools ==
- Improvements
* Automatically detect environmental proxies in cm-diagnose
== Machine Learning ==
- New Features
* Introduced ML package cm-cub-cuda11.7
* Introduced ML package cm-cudnn8.5-cuda11.7
* Introduced ML package cm-cudnn8.5-cuda11.8
* Introduced ML package cm-cutensor-cuda11.7
* Introduced ML package cm-fastai2-*-cuda11.7-*
* Introduced ML package cm-gpytorch-*-cuda11.7-*
* Introduced ML package cm-ml-distdeps-cuda11.7
* Introduced ML package cm-ml-pythondeps-*-cuda11.7-*
* Introduced ML package cm-nccl2-cuda11.7-gcc9
* Introduced ML package cm-onnx-pytorch-*-cuda11.7-*
* Introduced ML package cm-opencv4-*-cuda11.7-*
* Introduced ML package cm-pytorch-cuda11.7
* Introduced ML package cm-pytorch-extra-*-cuda11.7-*
* Introduced ML package cm-tensorflow2-*-cuda11.7-*
* Introduced ML package cm-xgboost-*-cuda11.7-*
* Updated cm-fastai2-* to 2.7.0
* Updated cm-gcc9-* to 9.5.0
* Updated cm-gpytorch-* to 1.9.0
* Updated cm-pytorch-* to 1.13.0
* Updated cm-tensorflow2-* to 2.11.0
* Updated cm-xgboost-* to 1.6.2
- Changes
* Deprecated ML packages for CUDA 11.2 and introduced new variants for CUDA 11.7
== User Portal ==
- Fixed Issues
* An issue where the user portal does not report the correct cluster occupation rate percentage