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What are the best strategies for reducing API latency bottlenecks when running local LLMs on a home server for real-time voice automation?

ChatGPTgpt-61 query11/1/2026
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What are the best strategies for reducing API latency bottlenecks when running local LLMs on a home server for real-time voice automation?
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llama.cpp server performance prompt caching continuous batching speculative decoding documentation; vLLM optimization latency time to first token chunked prefill docs; faster-whisper batched inference streaming voice activity detection latency; Home Assistant voice pipeline local LLM latency optimization 2026Google ↗
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ChatGPT1 real searches · gpt-6
llama.cpp server performance prompt caching continuous batching speculative decoding documentation; vLLM optimization latency time to first token chunked prefill docs; faster-whisper batched inference streaming voice activity detection latency; Home Assistant voice pipeline local LLM latency optimization 2026 Google ↗
  1. llama.cpp/tools/server/README.md at master · ggml-org/llama.cpp · github.com
  2. Optimization and Tuning · docs.vllm.ai
  3. Optimization and Tuning · docs.vllm.ai
  4. Prefill vs Decode · llama.app
  5. llama.cpp · github.com
  6. vLLM · docs.vllm.ai
  7. faster-whisper · github.com
  8. Home Assistant Voice · home-assistant.io
  9. FastAPI · fastapi.tiangolo.com

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llama.cpp server performance prompt caching continuous batching speculative decoding documentation; vLLM optimization latency time to first token chunked prefill docs; faster-whisper batched inference streaming voice activity detection latency; Home Assistant voice pipeline local LLM latency optimization 2026
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