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IronMule
High-performance local LLM runtime for Apple Silicon
A measurement-first MLX inference engine for Apple Silicon: every performance claim is backed by a preregistered experiment with an A/A control and a confidence interval. - Tobayko/IronMule
Hey Product Hunt community!
I built IronMule out of a straightforward need: Apple Silicon's unified memory architecture is incredible for local LLMs, but getting transparent, reproducible benchmarks and true hardware-native inference shouldn't require bloated setups or opaque tooling.
What is IronMule?
It’s a lightweight, open-source runtime and benchmarking tool built specifically for Apple Silicon using Apple’s MLX framework. It helps you get the most out of your Mac when running models locally—measuring real throughput, prompt-processing speed, and interactive token latency without overhead.
Why MLX?
Instead of generic cross-platform wrappers, IronMule taps directly into Apple’s native unified memory and Metal execution, allowing for fast, transparent local testing and comparison across different quantization levels and model architectures.
The project is 100% open source on GitHub. I’d love to get your feedback, hear what models you're currently running locally on your machines, and see how IronMule performs on your hardware!
Thanks for checking it out!
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About IronMule on Product Hunt
“High-performance local LLM runtime for Apple Silicon”
IronMule was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #24 on the daily leaderboard. A measurement-first MLX inference engine for Apple Silicon: every performance claim is backed by a preregistered experiment with an A/A control and a confidence interval. - Tobayko/IronMule
IronMule was featured in Open Source (68.9k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252.6k products, making this a competitive space to launch in.
Who hunted IronMule?
IronMule was hunted by Tobayko. 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 IronMule stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tobayko