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vLLM serving stack ported to C++20 for smaller, Python-free inference

By PulseAugur Editorial · [1 sources] ·

A developer has created a C++20 port of vLLM's serving stack, named vllm.cpp, which aims to provide a more lightweight and embeddable inference solution. This new implementation boasts a significantly smaller binary size (66 MiB) and eliminates the need for Python and PyTorch at runtime, addressing concerns about dependency bloat and supply chain security. Performance benchmarks show vllm.cpp is competitive with vLLM, particularly at higher concurrency levels, while also demonstrating reduced peak GPU memory usage. AI

IMPACT Offers a more efficient and embeddable inference solution, potentially reducing deployment friction for applications requiring LLM integration.

RANK_REASON This is a community port of an existing serving stack to a different language, not a release from a frontier lab.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

vLLM serving stack ported to C++20 for smaller, Python-free inference

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This is a community port of an existing serving stack to a different language, not a release from a frontier lab.
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infra, product
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High
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62 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/mudler_it ·

    I ported vLLM's serving stack to C++20: 66 MiB binary, no Python at inference, output checked token-for-token against vLLM

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vh9lx4/i_ported_vllms_serving_stack_to_c20_66_mib_binary/"> <img alt="I ported vLLM's serving stack to C++20: 66 MiB binary, no Python at inference, output checked token-for-token against vLLM" src="https://p…

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