How we keep GPUs reliable across Databricks AI
Summary
Databricks AI uses a multi-pronged approach to ensure GPU reliability, addressing crashed jobs, silent slowdowns, and numerical corruption through pre-workload validation, in-load monitoring, and inter-node fabric health checks. This system, stress-tested by diverse, large-scale workloads like RL for agentic coding, catches issues like fabric flakiness and thermal hotspots before they impact broader production.
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