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ML Infrastructure & GPUs / 35
hardAnthropicOpenAITogether AI

Long-context traffic is OOM-ing your serving fleet at 3am. Triage the KV-cache blowup.

The fleet was fine on 8k contexts and falls over when a few 200k-token requests arrive. The math that explains why, the admission and pooling fixes that contain it, and why throwing GPUs at it is the wrong first move.

Updated Sep 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

The fleet was fine on 8k contexts and falls over when a few 200k-token requests arrive. The math that explains why, the admission and pooling fixes that contain it, and why throwing GPUs at it is the wrong first move.

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FEDITOR'S NOTE

The screen is whether you connect KV-cache math to a production incident and reach for admission control and pooling before capacity. Strong candidates compute that a single 200k-context request can dwarf dozens of chat requests in KV, explain that one giant sequence starves the shared block pool, and propose token-shape-aware admission plus a separate long-context tier rather than just adding GPUs.

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