The Azure Kubernetes Service (AKS) team at Microsoft has published guidance for…
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The Azure Kubernetes Service (AKS) team at Microsoft has published guidance for running Anyscale’s managed Ray service at scale!
They address 3 key challenges: 🔹 GPU capacity limits 🔹 Scattered ML storage 🔹 Credential expiry issues
Dive into the details on #InfoQ 👉 https://bit.ly/4blKVDZ
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.
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