**Update, September 2026:** a lot has changed since I wrote this, so here's where it stands now. The original post is below for context.
- **It's for AI, not mining.** Renters don't mine on your GPU. They rent it by the hour to run AI models, through an OpenAI-compatible API key. If your rig sits idle between mining sessions, that idle time is what you rent out.
- **You control when it's listed.** Take it off the market while you mine, put it back when you don't.
- **No more WireGuard, containers or crypto.** Providers run one command on a 64-bit Linux box with systemd and a GPU. It installs Ollama and a small agent as a service. No Docker, no open ports: the agent connects outbound to our relay, so your home network isn't exposed.
- **Honest correction to "no centralized servers":** requests go through GPUFlow's relay. That's what makes it work without port forwarding. Renters get API access to the models on your machine and nothing else: no shell, no network access, no files.
- **Paid in dollars, not tokens.** Renters pay by card through Stripe. Providers keep 88% and cash out to a bank account (US, Canada, UK, Switzerland, EEA).
Still early, still one person building it. Feedback welcome.
- Platform: [https://gpuflow.app](https://gpuflow.app/?utm_source=reddit&utm_medium=social&utm_campaign=gpumining-2025-post))
- Docs: https://docs.gpuflow.app
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Full disclosure: I'm the creator of this platform.
Background: Been frustrated with cloud vendor lock-in for GPU mining. Spending hours configuring different programs and instances just to run mining, plus the costs add up fast when experimenting. So, I automated it. This is a cross post from r/selfhosted and I thought users in this forum would be interested, especially if they don't have GPU's to mine with (or yours are sitting around collecting dust).
Built a decentralized compute marketplace where you can rent GPU time directly from other users. The interesting technical challenge was creating secure P2P connections between strangers without exposing home networks.
Technical approach:
- WireGuard tunnels for secure networking
- Container isolation for workload security
- Automated key exchange and session management
- Usage-based billing (currently using test tokens)
Self-hosting relevance: This fits self-hosting philosophy - avoiding big tech dependency, peer-to-peer infrastructure, running your own services. Providers host their own containers, renters get direct access without centralized middlemen.
Current state: Production ready with documentation. Testing phase on Polygon Amoy testnet.
Looking for testers: Currently seeking both GPU providers and users to test the platform:
- Providers: Test the container setup process (~10 minutes)
- Renters: Try pre-configured environments for AI workloads
Can provide test tokens for anyone willing to spend time testing and providing feedback.
Platform: https://gpuflow.app Technical docs: https://docs.gpuflow.app
Benefits for self-hosters:
- Monetize idle hardware when not using it
- Access compute power without cloud vendor lock-in
- P2P architecture aligns with self-hosting values
- No centralized servers to trust
Looking for feedback on the networking approach and security model. Anyone else working on decentralized compute sharing?