I’ve got two Apple Silicon Macs—a 16 GB Mac Mini and a 64 GB M4 Max MacBook Pro—and I always hit a wall when I tried to run big models like GPT-OSS 20B or Llama 3 70B on the Mini. Downloading a model would choke the machine. LM Studio Link let me treat the Pro as a remote GPU: I installed LM Studio on both machines, enabled Link (which uses Tailscale’s WireGuard VPN under the hood), and within seconds the Mini saw every model loaded on the Pro as if it were local. There’s no port forwarding, no exposed endpoints, and all traffic is encrypted—prompts and weights never touch the public internet. In practice it’s seamless. I clicked on GPT-OSS 20B in the Mini’s interface and got 87 tokens per second back, with responses as detailed as if I’d run the model locally. I asked “why the sky is blue,” got a 1,139-token answer in half a second. No API keys, no billing meters, and no data leaks—only device metadata for the mesh setup. Beyond my home lab, Link works across firewalls and NAT without extra configuration, supports two users and up to ten devices for free, and opens up workflows like thin-client Raspberry Pi inference or small-team sharing of one powerful box. A few caveats: initial model load times stay the same, and if your host machine drops offline you lose access until it reconnects. But for anyone with mixed-hardware setups, LM Studio Link solves the “wrong machine, right model” problem in minutes.