Whats New 2021
May 10th 2021¶
Usability improvements of runai cli. The cli now supports autocomplete for all options and parameters.
Usability improvements of the Administration user interface navigation menu now allow for easier navigation.
Run:AI can be installed when Kubernetes has Pod Security Policy (PSP) enabled.
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:
- New documentation for Researcher REST API.
- New documentation for Administration Rest API.
- Kubernetes-based API for job creation.
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)