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).
Every container runtime on macOS runs a Linux VM. Linux doesn't have Metal support, so you can't use MLX, MPS, or other Metal-accelerated frameworks inside a container. MetalBox solves this by running workloads as native macOS processes with Docker-like resource management: * Hard memory limits (RSS watchdog that kills and restarts processes when limits are exceeded) * Metal/MLX GPU memory caps (automatically injected via a wrapper) * Filesystem and network sandboxing using macOS sandbox-exec
Hey PH! I built MetalBox because I needed to run ML inference pipelines on a Mac Mini with Apple Silicon. Docker can't access Metal GPUs, and running natively means giving up resource limits.
MetalBox provides container-like management for native macOS processes. It's a single Go binary that handles process lifecycle, memory enforcement, GPU memory caps, health checks, and isolation, with a web dashboard for monitoring.
It's open source (MIT), installs from PyPI, and works with any workload, not just ML. If you run anything on macOS that needs resource limits or lifecycle management, give it a try.
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About MetalBox on Product Hunt
“Native GPU containers for Apple Silicon”
MetalBox was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #117 on the daily leaderboard. Every container runtime on macOS runs a Linux VM. Linux doesn't have Metal support, so you can't use MLX, MPS, or other Metal-accelerated frameworks inside a container. MetalBox solves this by running workloads as native macOS processes with Docker-like resource management: * Hard memory limits (RSS watchdog that kills and restarts processes when limits are exceeded) * Metal/MLX GPU memory caps (automatically injected via a wrapper) * Filesystem and network sandboxing using macOS sandbox-exec
MetalBox was featured in Open Source (68.5k followers), Developer Tools (514k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 107.6k products, making this a competitive space to launch in.
Who hunted MetalBox?
MetalBox was hunted by Ronald Wilson. 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 MetalBox stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ronald Wilson