最新资讯
reddit.com OpenAI 称 Astra 仅满足 10% 安全任务标准 dev.to FreeToken:在自有 GPU 上运行前沿 MoE 模型及其内存需求 dev.to 当 AI Agent 说“完成”时,究竟完成了什么? dev.to 部署 Underdog Bark 3.0 Pro:逐字转写、自定义后端与分块设置 dev.to 为艰难对话构建 AI:五个 Agent、一条安全正则与一位盲评监督者 techcrunch.com Palo Alto Networks 洽谈以 5 亿美元收购 AI Agent 安全初创公司 Clutch theinformation.com 黄仁勋被要求就涉华间谍指控向国会作简报 www.infoq.com Edera 推出 Object Capability Bounded Authority,试图将凭证与 AI Agent 工作负载隔离 wechat 这波杀疯了!旗舰级模型不限量、1个月视频额度免费领 bloomberg.com AI 抛售蔓延至信用市场,软银领跌亚洲美元债 dev.to 如何在专用 GPU 服务器上用 OpenAI 兼容 API 部署 LLM dev.to 审计 153 份 Claude Code 与 Codex 会话记录:User-Agent 与 URL 中的邮箱泄露
多元动态
登录 注册
AI编码 GitHub · @magnitudedev

magnitude:开源本地推理服务器

原文 我的收藏

magnitude是一个开源推理服务器,可根据硬件运行最佳本地模型,并集成到现有Agent中,支持Pi、OpenCode、Claude Code等多种工具。

AI推荐理由 开源推理服务器,支持本地模型和多种Agent,对开发者有实际价值,GitHub Trending,信息明确。

75 评论 43 Star 6,130 社区积分 104 榜单名次 19

正文

Magnitude Run open models as fast as your hardware allows Magnitude is an open source inference engine for agents that optimizes itself for your exact hardware. It compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. One click connects the agent you already use (Pi, OpenCode, Hermes, Codex, and more). Works on Apple Silicon, NVIDIA, AMD, or nothing but a CPU. **[Download Magnitude for macOS, Windows, or Linux](https://magnitude.dev/download)** ⭐ Help us reach more developers and grow the Magnitude community. Star this repo! https://github.com/user-attachments/assets/983328c8-93e8-4360-bfef-11e93ff76035 ## Get started 1. [Download Magnitude](https://magnitude.dev/download), install it, and open the app. 2. Choose a recommended model in **Discover** and download it. 3. Connect your agent in **Connections** and start using it. The desktop app includes the `magnitude` CLI. No separate installation is needed. ## Why Magnitude? - **Up to 2x faster than llama.cpp:** 92% faster decode on Metal, 19% on CUDA - **Tuned on your device:** kernels are tuned on your hardware before a model runs - **Built for the best models:** hand-optimized kernels for popular open-weight families - **Memory that flexes:** 27% less memory per agent, freed when agents stop - **Fast concurrent sessions:** sessions share prefix caches to prevent slowdown - **Works with your agent:** one click to connect Pi, OpenCode, Hermes, Codex, and more - **Free, private, open source:** no token costs, nothing leaves your machine, Apache 2.0 ## Up to 2x faster than llama.cpp ## FAQ ### What is Magnitude? An open source inference engine that optimizes itself for your hardware. It ships as a desktop app that runs open models and connects them to the agent you already use. ### How is it faster than llama.cpp, Ollama, or LM Studio? They ship kernels precompiled for broad classes of hardware. Magnitude compiles and tunes its kernels on your actual device before a model runs, so they fit your exact chip. [See the benchmarks against llama.cpp.](#up-to-2x-faster-than-llamacpp) ### What hardware do I need? Any Apple Silicon, NVIDIA, or AMD GPU, or nothing but a CPU. There is no fixed minimum. Smaller machines run smaller models, and more memory lets you run larger ones. ### What operating systems does it support? macOS, Linux, and Windows. ### Which models does it support? See the full list at [magnitude.dev/models](https://magnitude.dev/models). We write optimized kernels for the most popular open-weight families, which is how we beat generalist engines. ### Which agents work with it? One click connects Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline. Anything else works through the OpenAI-compatible API. ### Is it private? Yes. Prompts, files, and models stay on your machine. No internet needed once a model is downloaded.

来源报道 · 7 篇 · 以下链接均前往原始媒体

magnitudedev magnitude:开源本地推理服务器 10-01 · 原文发布
aihot::GitHub Trending magnitude:开源本地推理服务器 10-01 · 原文发布
github_trending:GitHub Trending magnitude:开源本地推理服务器 10-01 · 原文发布
anerli magnitude:开源本地推理服务器 10-01 · 原文发布
anerli magnitude:开源本地推理服务器 10-01 · 原文发布
Hacker News magnitude:开源本地推理服务器 10-01 · 原文发布
anerli magnitude:开源本地推理服务器 10-01 · 原文发布
← 返回精选动态 原文

更多内容