
MetalBox
Native GPU containers for Apple Silicon
What it does
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
Does a similar job
all alternatives →- LOLume – OS lightweight CLI for MacOS and Linux VMs on Apple Silicon2025 · github.com · ▲309
We just open-sourced Lume - a tool we built after hitting walls with existing virtualization options on Apple Silicon. No GUI, no complex stacks - just a single binary that lets you spin up macOS or Linux VMs via CLI or API. Why we built Lume: - Run native macOS VMs in 1 command, using Apple Virtualization.Framework: `lume run macos-sequoia-vanilla:latest` - Prebuilt images on https://ghcr.io/trycua (macOS, Ubuntu on ARM) - API server to manage VMs programmatically `POST /lume/vms` - A python SDK on github.com/trycua/pylume Run prebuilt macOS images in just…
- SMSub-millisecond VM sandboxes using CoW memory forkingMar 2026 · github.com · ▲311
I wanted to see how fast an isolated code sandbox could start if I never had to boot a fresh VM. So instead of launching a new microVM per execution, I boot Firecracker once with Python and numpy already loaded, then snapshot the full VM state. Every execution after that creates a new KVM VM backed by a `MAP_PRIVATE` mapping of the snapshot memory, so Linux gives me copy-on-write pages automatically. That means each sandbox starts from an already-running Python process inside a real VM, runs the code, and exits. These are real KVM VMs, not containers: separate guest kernel, separate guest…
- OROllama – Run LLMs on your Mac2023 · github.com · ▲284
Hi 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…
npm i -g hotcellAug 2026 · github.com · ▲97Local sandboxes for AI agents on your Mac, Linux, bare metal
- LRLumier – Run macOS VMs in a Docker2025 · github.com · ▲159
Hey HN, we're excited to share Lumier (https://github.com/trycua/cua/tree/main/libs/lumier), an open-source tool for running macOS and Linux virtual machines in Docker containers on Apple Silicon Macs. When building virtualized environments for AI agents, we needed a reproducible way to package and distribute macOS VMs. Inspired by projects like dockur/windows (https://github.com/dockur/windows) that pioneered running Windows in Docker, we wanted to create something similar but optimized for Apple Silicon. The existing…

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