Lightning AI has introduced a Multi-Cloud GPU Marketplace that allows developers to tap graphics-processing capacity from both major hyperscalers and newer “NeoCloud” providers through a single interface. The service is embedded in the company’s end-to-end AI development platform, which is used by more than 300,000 developers and several Fortune 500 firms. The marketplace supports on-demand and large reserved GPU clusters and claims to cut infrastructure costs by as much as 70% by letting users shift workloads to whichever provider offers the most competitive price or geographic fit. Workflows can be deployed without code rewrites or additional DevOps overhead, using orchestration frameworks such as SLURM or Kubernetes. Launch partners include Lambda, Voltage Park and Nebius, which said the integration would give customers faster access to high-performance H100 and similar chips while maintaining enterprise reliability. The move comes as competition for scarce AI compute intensifies, with rivals such as Storj’s Valdi unit and Hyperbolic also expanding GPU availability and pricing options.