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Hot Fixes for 2.16

The following is a list of the known and fixed issues for Run:ai V2.16.

Version 2.16.25

Internal ID Description
RUN-17241 Fixed an issue where the nodes page showed nodes as not ready due to "tookit not installed".

Version 2.16.21

Internal ID Description
RUN-16463 Fixed an issue after a cluster upgrade to v2.16, where some metrics of pre-existing workloads were displayed incorrectly in the Overview Dashboard.

Version 2.16.18

Internal ID Description
RUN-16486 Fixed an issue in the Workloads creation form where the GPU fields of the compute resource tiles were showing no data.

Version 2.16.16

Internal ID Description
RUN-16340 Fixed an issue in the Workloads table where filters were not saved correctly.

Version 2.16.15

Release content

  • Implemented a new Workloads API to support the Workloads feature.

Fixed issues

Internal ID Description
RUN-16070 Fixed an issue where missing metrics caused the Nodepools table to appear empty.

Version 2.16.14

Release content

*Improved overall performance by slowing down metrics updates from 10 seconds to 30 seconds.

Fixed issues

Internal ID Description
RUN-16255 Fixed an issue in the Analytics dashboard where the GPU Allocation per Node and GPU Memory Allocation per Node panels were displaying incorrect data.
RUN-16035 Fixed an issue in the Workloads table where completed pods continue to be counted in the requested resources column.

Version 2.16.12

Fixed issues

Internal ID Description
RUN-16110 Fixed an issue where creating a training workload (single or multi-node) with a new PVC or Volume, resulted in the Workloads table showing the workload in the Unknown/Pending status.
RUN-16086 Fixed an issue in airgapped environments where incorrect installation commands were shown when upgrading to V2.15.

Version 2.16.11

N/A

Version 2.16.9

N/A

Version 2.16.8

Release content

N/A

Version 2.16.7

Release content

  • Added an API endpoint that retrieves data from a workloads's pod.

Fixed issues

N/A

Version 2.16.6

N/A