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  1. Home
  2. /Repositories
  3. /jmaczan/tiny-vllm
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repoGitHubTrust 82 · PrimaryPublished yesterdayLive · yesterday

jmaczan/tiny-vllm

Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsHardware startup unveils inference acceleratornewsA barebones CPU-only inference engine for Qwen 3, written from scratch in pure CnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsHardware startup unveils inference acceleratornewsA barebones CPU-only inference engine for Qwen 3, written from scratch in pure C
Knowledge path·NOpenAI and Broadcom announce chip designed for LLM inference at scale→NOpenAI and Broadcom unveil LLM-optimized inference chip→NI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)→Rjmaczan/tiny-vllm

Topics

aiattentionbatchingcoursecppcudahpcinferencellmllm-inference

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