Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, ...
How a financial-services firm runs 250,000 automated tests a day on 4 Amazon EKS clusters with Kueue quotas, sharding, flake policy, and certification.
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