SuperBench - Improving Cloud AI Infrastructure Reliability with Proactive Validation

Explore a groundbreaking conference talk on improving cloud AI infrastructure reliability through proactive validation. Delve into the innovative SuperBench system, designed to mitigate hidden degradation caused by hardware redundancies in cloud AI environments. Learn about the comprehensive benchmark suite that evaluates individual hardware components and represents real AI workloads. Discover how the Validator component uses machine learning to identify defective components, while the Selector optimizes validation timing and benchmark selection. Examine the impressive results from testbed evaluations and simulations, showcasing SuperBench's ability to significantly increase mean time between incidents. Gain insights into the successful deployment of SuperBench in Azure production, validating hundreds of thousands of GPUs over a two-year period. Understand the critical importance of addressing "gray failures" in cloud AI infrastructure and how SuperBench contributes to enhanced overall reliability for cloud service providers.

USENIX ATC '24 - SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation