We're onboarding our first 50 hosts personally. Reduced 5% platform fee locked in for 12 months, lifetime priority in the marketplace, and direct access to our engineering team. See what your GPU could earn — as a Founding Host.
Regular platforms give hosts one stream — random on-demand rentals. That's why most GPUs sit idle 70% of the time. Our hosts see three.
ML developers renting for training runs, fine-tuning, and experiments. Sessions from minutes to weeks. This is the volatile baseline — always some demand, never predictable.
Users hosting Llama, Mistral, DeepSeek as their personal AI assistants — because they want privacy, speed, or no API limits. They need a persistent GPU endpoint they can rely on. Each client = 20–40 hours of predictable monthly load.
Communities pool funds to train specialized models — medical, legal, niche verticals — before the compute is used. Pre-funded rentals go on schedule, allocated to Founding Hosts first. Demand booked ahead, not hoped for.
Keep 95% of every rental for a full year. Locked in the day you list. Nothing to negotiate, nothing to renew.
Your GPU listing appears above standard hosts in the marketplace. Not for a year — for as long as AntGPU exists.
A real engineer walks you through setup, tests your machine, and stays on Telegram/Discord for anything you hit.
A visible badge on your public profile. Your name on our Founding 50 page. Recognition for being here before it was obvious.
Invite other GPU owners to AntGPU and share your verified wallet address. When they register as machine owners and enter your wallet, you receive 50% of AntGPU's platform fee from every completed rental powered by their machines, paid in USDC.
Every founding host application lands with a real engineer on our team. Setup calls happen with people who wrote the code. If something breaks, you're talking to whoever can fix it — usually within the hour.
We're building this marketplace with the first 50 people who show up. That's not a marketing line — it's the operating model.
Four layers of separation between the renter's workload and your machine. Not marketing — engineering.
Every rental spins up in a fresh Docker container with its own filesystem, network namespace, and process tree. The renter's session is completely separated from your host OS. They never touch your files.
The renter gets full, dedicated GPU access for their session — but only the GPU. No shared drivers, no memory leakage between workloads, no visibility into what your machine is doing outside the container.
When a session ends, the container is destroyed and disk state is wiped. Nothing persists between renters. The next person to rent your GPU starts from a completely clean slate.
We automatically flag suspicious patterns — crypto mining, sustained network abuse, credential scanning. Violators are removed from the platform. Hosts get covered for damages if abuse slips through.
Setup takes 15 minutes. Your engineer walks you through it. First payout after your first rental — in USD or USDC, your choice.