#ml-infrastructure

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#azure-kubernetes-service #ray-distributed-computing #gpu-resource-management #multi-region-deployment
DevOps
fromInfoQ
11 hours ago

Running Ray at Scale on AKS

Microsoft and Anyscale provide guidance for running managed Ray service on Azure Kubernetes Service, addressing GPU capacity limits, ML storage challenges, and credential expiry issues through multi-cluster, multi-region deployment strategies.
Artificial intelligence
fromInfoQ
4 months ago

10 AI-Related Standout Sessions at QCon San Francisco 2025

QCon San Francisco 2025 emphasizes AI-driven software practices across 15 tracks, highlighting LLM productivity, agentic AI, enterprise intelligence, and evolving engineering mindsets.
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