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Whats New 2021

April 20th 2021

Job List and Node list now show the GPU type (e.g. v-100).

April 18th, 2021

Inference workloads are now supported. For further details see Inference Overview.

JupyterHub integration is now supported. For further details see JupyterHub Integration

NVIDIA MIG is now supported. You can use the NVIDIA MIG technology to partition A-100 GPUs. Each partition will be considered as a single GPU by the Run:AI system and all the Run:AI functionality is supported in the partition level, including GPU Fractions.

April 1st, 2021

Run:AI now supports Kubernetes 1.20

March 24th 2021

Job List and Node list now show CPU utilization and CPU memory utilization.

February 14th, 2021

The Job list now shows per-Job graphs for GPU utilization, GPU memory.

The Node list now shows per-Node graphs for GPU utilization, GPU memory.

January 22nd, 2021

New Analytics dashboard with emphasis on CPU, CPU Memory, GPU and GPU Memory. Allows better diagnostics of resource misuse.

January 15th, 2021

New developer documentation area has been created. In it:

January 9th 2021

A new Researcher user interface is now available. See researcher UI setup.

January 2nd, 2021

Run:AI Clusters now support Azure Managed Kubernetes Service (AKS)


Last update: April 18, 2021