ZeroGPU Information

@ZeroGPU we are building AI inference infrastructure that orchestrates fine-tuned nano models across a distributed fleet of edge devices. Instead of defaulting to large, expensive LLMs, we focus on smaller, purpose-built models that are faster, cheaper, and better suited for high-volume, focused inference tasks. ZeroGPU aggregates idle edge compute into a distributed inference grid. The goal is to achieve data-center-level inference capacity without actually building a data center. This approach delivers ultra-low latency and significantly lower costs for workloads like classification, ranking, routing, and real-time decisioning.