Original Summary

Have you ever used your Apple Silicon's GPU to run an AI process inside Docker? Can you build, compile or sign Swift code with Xcode on Docker? The short answer is: You can't! Docker runs on a Linux VM, and that VM sees no Metal, no MPS, no MLX, no XCode. So I built MacDocker: native containers, Mach-O binaries running straight on macOS. No VM, no emulation, Sandbox/Seatbelt isolated processes and SIP stays on. What Docker Desktop can't do — MacDocker CAN! * 🔥 Real GPU access: PyTorch (MPS) and MLX using Apple Silicon's GPU and unified memory. * 🛠️ Xcode in a container: upload your project .zip, get back a .dmg or .ipa signed with your certificate. * ⚡ Containers in \~130 ms: every job starts from an APFS clone (copy-on-write) — disk is used only for what changes. * 🔒 Isolated by default: per-job macOS sandbox, dedicated service user, network blocked while running, and caps on memory (GPU included), processes and time. Under the hood: Seatbelt instead of namespaces · a phys_footprint watchdog instead of cgroups · APFS clonefile(2) instead of OverlayFS · root daemon via SMAppService, notarized app, CLI + API + web dashboard. Working today: a Hub of verified images (python-torch, python-mlx, xcode), per-container logs, stats and files, API tokens, and sign-in with GitHub, Google or Apple. GPU training runs and Xcode builds already run on a Mac mini M4. Coming next: a GitHub Actions runner, several Macs behind one dashboard, automatic notarization of your apps, ffmpeg with VideoToolbox, local LLMs on the GPU, and an installer so you can set up your own node. Looking for 30 beta testers: iOS/macOS devs tired of slow or pricey CI, and anyone training or running inference on Apple Silicon. You get beta access with usage quota included; I get unfiltered feedback. Whoever joins now helps decide what ships first. 👉 Don't believe me? Comment or DM "BETA TEST" with your GitHub/Google/Apple email account and I'll give you access to our system for 30 days in exchange for your most honest feedback. Here is the link to MacDocker: [ https://macdocker.com:8000\](https://macdocker.com:8000) Initial Estimated Pricing and Plans: * 7-day trial - 1GB SSD Quota, 4GB RAM, 15 min processing time, shared queue. FREE * Individual - 5GB SSD Quota, 8GB RAM, 100min processing time/month, shared queue. US$19/month * Corporate - 20GB SSD Quota, 24GB RAM, 400min processing time/month, priority queue. US$99/month or yearly contract. Disclosure: 1. It's a single node today, so there can be a queue. 2. We are not selling any plans yet, until the beta test is complete. But if you are interested, you can subscribe to the wait list. Just e-mail me: leandro.forte@gmail.com   submitted by   /u/leandro_forte [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/18 11:48:04