Use when serving or optimizing LLM inference in production — diagnosing or improving TTFT/TPOT/throughput, choosing batching strategy, sizing GPUs, picking vLLM/TensorRT-LLM, or debugging low GPU utilization, TTFT spikes, and OOM. Covers prefill vs decode, the roofline, continuous batching, PagedAtt
Use when serving or optimizing LLM inference in production — diagnosing or improving TTFT/TPOT/throughput, choosing batching strategy, sizing GPUs, picking vLLM/TensorRT-LLM, or debugging low GPU utilization, TTFT spikes, and OOM. Covers prefill vs decode, the roofline, continuous batching, PagedAttention, chunked prefill, disaggregation, and FlashAttention.
Questa voce non pubblica alcun pacchetto npm, quindi Forge non ha un albero delle dipendenze per essa. È una lacuna di copertura, non l'affermazione che non abbia dipendenze.