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News

blockchain.news
blockchain.news > ainews > lmcache-accelerates-llms-14x-with-cacheblend

LMCache Accelerates LLMs 14x with CacheBlend | AI News Detail

1+ week, 1+ day ago   (156+ words) According to @_avichawla, LMCache’s multiprocess caching and CacheBlend deliver 14x faster TTFT and 4x faster decode on Qwen3-235B, cutting costs by up to 90%. Researchers have developed LMCache an open source project that delivers 14x faster time to first token and 90 percent lower inference costs for…...

DEV Community
dev.to > o96a > llamafile-vs-vllm-two-ways-to-serve-a-local-model-and-when-each-makes-sense-gim

Llamafile vs vLLM: Two Ways to Serve a Local Model, and When Each Makes Sense

1+ week, 5+ day ago   (325+ words) I spent last weekend comparing two ways to serve a local model: Llamafile and the more traditional vLLM + Docker setup I've been running for months. Same model (Qwen2.5-7B-Instruct), same hardware (a single RTX 4090), same test queries. The gap between them…...

vLLM docs
docs.vllm.ai > en > latest > api > vllm > entrypoints > scale_out > render > serving

serving - vLLM

3+ week, 5+ day ago   (49+ words) Extract multimodal metadata from a rendered engine prompt. Returns None for text-only prompts. Validate the model and preprocess a chat completion request. Validate the model and preprocess a completion request. This is the authoritative implementation used directly by the GPU-less…...