This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product Thumbnail

Ferrum

Run local LLMs with one Rust binary

Open Source
Developer Tools
Artificial Intelligence
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byjinxuan chejinxuan che

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.

Top comment

Hi Product Hunt — I’m the maintainer of Ferrum. I wanted local LLM inference to feel like a normal native developer tool: install one binary, name a model, run it from the CLI, or serve the same model behind an OpenAI-compatible API. Ferrum is written in Rust and supports Apple Silicon Metal and NVIDIA CUDA without requiring Python, PyTorch, or vLLM at runtime. I’d especially value blunt feedback on installation, model compatibility, and the first-run experience.

Comment highlights

No comment highlights available yet. Please check back later!

About Ferrum on Product Hunt

Run local LLMs with one Rust binary

Ferrum was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #77 on the daily leaderboard. 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.

Ferrum was featured in Open Source (68.8k followers), Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 246.4k products, making this a competitive space to launch in.

Who hunted Ferrum?

Ferrum was hunted by jinxuan che. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Ferrum stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.