# Candle-vLLM Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/candle-vllm
> Markdown URL: https://aitinkerers.org/technologies/candle-vllm.md
> Technology record last updated: 2026-04-02T14:48:19Z
> Generated: 2026-10-25T06:59:58Z

A high-performance Rust implementation of PagedAttention and vLLM features built on the Candle ML framework.

Candle-vLLM brings memory-efficient inference to the Rust ecosystem by porting the PagedAttention algorithm from the original Python vLLM project. It leverages the Candle framework to bypass Python runtime overhead, offering a streamlined stack for deploying Large Language Models like Llama 3 and Mistral. The project focuses on high throughput via efficient KV cache management (reducing fragmentation) and provides a clean API for developers who require the safety and speed of Rust in production environments.

- Official technology site: https://github.com/EricLBuehler/candle-vllm
- Public AI Tinkerers demos and talks: 0
- Result page: 1 of 1

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