# RunSnack – P2P GPU sharing with a link. Would love feedback from ML people who rent/rent out GPUs > Source: > Published: 2026-08-13 05:23:11+00:00 Hey HF community, I built a tool that might be relevant to a lot of people here who either have idle GPUs or need compute for quick jobs. It’s called [RunSnack](https://runsnack.com/) — share your GPU with a single link. No accounts, no cloud, no platform fees. **Why this matters for ML people:** - Need an A100 for 2 hours of inference testing? Find a host, get a link, instant terminal. - Got a 4090 sitting idle overnight? Share it, set your price, negotiate directly. - No KYC, no cloud markup, no usage logs. Just P2P compute. **How it works:** - Host runs a script → gets a shareable link - Renter opens link in browser → instant xterm.js terminal with GPU access - Everything runs inside a sandboxed Docker container (read-only, privilege-dropped) - WebRTC data channel — encrypted, P2P, no central server sees your data - Marketplace is organic: post on Discord what you need or offer, negotiate, share link **Built for the “quick GPU snack” use case:** - ML researcher needs 30 min of inference on a GPU they don’t own - Student wants to fine-tune a model for a few hours without spinning up a cloud instance - Someone with a homelab GPU wants to monetize idle time **I’d love feedback from this community on:** - **Would you use this?** Why or why not? - **Security concerns?** Docker sandbox + GPU passthrough — what would make you trust it enough to either host or rent? - **What’s missing?** Pre-installed ML frameworks? Persistent storage? Something else? - **Pricing expectations?** What would you pay per hour for, say, a 4090 vs an Jetson Nano via a P2P link like this? - Is this approach a competitor for sites like **RunPod**? Thank you! Lastly, I add this 30-sec YouTube reel so everyone gets better the idea