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What is the architectural tradeoff between using speculative decoding versus standard batching when scaling LLM inference infrastructure for real-time chat?
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What is the architectural tradeoff between using speculative decoding versus standard batching when scaling LLM inference infrastructure for real-time chat?
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speculative decoding versus continuous batching LLM inference serving latency throughput vLLM paperGoogle ↗
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ChatGPT1 real searches · gpt-6
speculative decoding versus continuous batching LLM inference serving latency throughput vLLM paper Google ↗
- The Synergy of Speculative Decoding and Batching in Serving Large Language Models · people.mpi-sws.org
- How Speculative Decoding Boosts vLLM Performance by up to 2.8x · vllm-project.github.io
- Speculative Decoding · docs.vllm.ai
- Exploring Speculative Decoding in vLLM on AMD GPUs · vllm-project.github.io