Running Ray at Scale on AKS

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale’s managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, and problems with credential expiry.
By Claudio Masolo




