vLLM continuous batching causes p99 latency spikes for Llama 3.3

A developer at Nexus Labs encountered significant latency issues after enabling continuous batching in vLLM for their Llama 3.3 70B model. While throughput initially improved, p99 latency increased eightfold, impacting their service level objectives. The problem was traced to long prefill requests blocking decode operations within the same forward pass. AI

IMPACT Highlights a common trade-off in LLM serving infrastructure, where throughput gains from features like continuous batching can negatively impact latency-sensitive applications.

RANK_REASON This is a technical post about optimizing an existing tool (vLLM) for a specific model (Llama 3.3) and workload, rather than a new release or major industry event.

Read on dev.to — LLM tag →

• Llama 3.3 70B
• Nexus Labs
• vLLM

• infra
• product

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