vLLM and LMCache Speedup Guide
rohanpaul_ai · x · 2026-07-17
The core of this post is a new blog: 《vLLM + LMCache: A Starter Guide, No GPU Required》.
Key Takeaways
- Using vLLM and LMCache yields a 2.8x speedup for repeated prompt scenarios
- This optimization does not require a GPU
- LMCache has already garnered 10,000 stars on GitHub
How It Works
- Before each generation, LLMs repeatedly compute KV cache tensors for prompt tokens
- If many requests share the same system prompt or documents, this leads to redundant work
- LMCache caches these tensors:
- Using L1 for memory
- Using L2 for external systems
- It is a vendor-neutral solution
Related event: LMCache framed as a KV-cache layer for LLM inference(5 posts)→
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