Tag: Prefill-Decode

3 articles

• Prefill-Decode Disaggregation in Practice: Governing TTFT and TPOT for Long-Context LLM Serving

  A practical guide to Prefill-Decode disaggregation for LLM serving: principles, production architecture, monitoring, and a go-live checklist to govern TTFT and TPOT under long-context, high-concurrency workloads.

  06/30/2026 LLM Serving / Prefill Decode / Inference Optimization / KV Cache / SLO

• Prefill-Decode Disaggregation in Practice: Taming Latency for Long-Context LLM Serving

  Long contexts and agentic requests shift LLM inference bottlenecks from single-card throughput to tail-latency governance. This post dives into Prefill-Decode disaggregation, KV cache transfer, resource planning, and a pre-launch checklist to move LLM serving from 'working' to stable and scalable.

  06/29/2026 LLM Serving / Prefill Decode / KV Cache / Inference Optimization / Long Context / Tail Latency / RAG / Agent

• Prefill-Decode Disaggregation in Practice: Taming Latency for Long-Context LLM Serving

  Long contexts and agentic requests shift the LLM inference bottleneck from single-GPU throughput to tail-latency management. This article dives into the principles, trade-offs, KV cache transfer, resource planning, and a go-live checklist for Prefill-Decode disaggregation.

  06/29/2026 LLM Serving / Prefill-Decode / KV Cache / Inference Optimization / Long Context / Latency Management