Ferrum
Run local LLMs with one Rust binary
Ferrum launched on September 2, 2026 with 3 votes, #1,758 of 8,094 launches that month and more than 50% of that year's launches.
What it does
Ferrum is an open-source, Rust-native runtime for running and serving local language models on Apple Silicon Metal and NVIDIA CUDA. One binary gives you an interactive CLI plus OpenAI-compatible Chat Completions and Responses APIs, without requiring Python, PyTorch, or vLLM at runtime. Choose a model explicitly, run it locally, or expose the same model over HTTP.
Local LLM inference and an OpenAI-compatible server in one Rust binary. Ferrum 0.14.0 unifies the execution architecture.
Terminal chat and an OpenAI-compatible API, without a Python runtime. Goal: maximize output throughput while meeting TTFT, TPOT and ITL SLOs. Fix hardware, model and output policy; choose execution policy π from eligible policies Π under predeclared SLOs. Installers verify checksums and configure PATH. Open a new terminal on macOS/Linux; PowerShell is ready immediately. Repeat the command to upgrade; models and configuration are preserved. macOS uses Metal. Linux/WSL selects sm89 (CUDA 12.4) or sm120 (CUDA 12.8) when all visible GPUs report the matching compute capability. Compatible NVIDIA driver and CUDA/NCCL runtimes are required. Windows and Homebrew CUDA target sm89; Windows bundles…from ferrum.pandaailabs.com
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Ferrum.js – Rust features in JS: traits and advanced iteration2019 · github.com · ▲63Features from the rust language in javascript: Provides Traits/Type classes & a hashing infrastructure and an advanced library for working with sequences/iterators in js - adobe/ferrum

Ollama – Run LLMs on your Mac2023 · github.com · ▲284Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…
- WMWe made glhf.chat – run almost any open-source LLM, including 405B2024 · glhf.chat · ▲161
Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)2023 · github.com · ▲45G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
npm i -g hotcellAug 2026 · github.com · ▲97Hi HN! Sina here. i wanted to share this open source project (apache 2.0) that i've been working on for the past month or so. it's called hotcell and it lets you create/pause/manage sandboxes on any device (your laptop, linux vm, bare metal). i've tested it against various benchmarks that i found on computesdk (https://www.computesdk.com/benchmarks/sandboxes/) as well as the one shared by dax (cofounder of open code) on twitter recently (link to his original thread and my reply https://x.com/sinasanm/status/2078158598996443346) and…
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