Hot Fixes for 2.16

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

Version 2.16.65¶

Internal ID	Description
RUN-21448	Fixed an issue with degraded workload so the condition would reflect the actual state.
RUN-20680	Fixed an issue where the workload page did not present the requested GPU.

Internal ID	Description
RUN-20388	Fixed an issue where cluster-sync caused a memory leak.

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

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.

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.

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

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

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

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.

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.

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