Who checks the GPU running your AI request? How a decentralized inference network catches hosts that cheat

When using an AI API, users rely on the provider to execute the advertised model. For decentralized inference networks where GPUs are owned by external parties, trust must be engineered. One open-source approach addresses this by leveraging open-weight models like DeepSeek V4-Flash, GLM-5.3-Flash, and MiniMax M2.7. This allows anyone to compare an endpoint's output against the public model, a verification method not possible with closed models.