What we are exploring
Cloud GPUs are expensive while powerful privately owned graphics cards often remain idle.
Who it is for
AI/ML professionals, small teams, 3D creators, and GPU owners.
What is validated
The team staging environment has a working website, API, accounts, and test roles. A PyTorch/CUDA container run is verified on one Windows 11 / RTX 2070 setup; the full remote workflow, marketplace, and production remain unverified.
04 · DATA AND PROCESS
Staging and a local GPU runtime establish the MVP boundary
MVP / STAGING · PRODUCTION HOLD
- Web stagingRenter and provider workflows
- API and test rolesTeam product validation
- Host AgentChecks the local machine
- GPU containerPyTorch/CUDA on one setup
- Website and API available to the team in staging
- PyTorch/CUDA verified on Windows 11 / RTX 2070
- Production is on HOLD
- Caption
- Verified MVP boundary: web staging → API → Host Agent → local GPU container.
- Provenance
- Yandex Wiki page 50147409, “P2P GPU compute market”, read 12 August 2026.
- Caveat
- Full remote execution of a user workload, liquidity, payments, public infrastructure, and a verified production release remain future stages.
PRODUCT RESEARCH
Help us validate a real problem
We are looking for professionals who encounter this problem at work. The interview is not a sales call; early access or case-study terms are agreed separately.