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Lightning AI launches a unified multi-cloud GPU marketplace, enabling AI teams to cut compute costs by 70% and access on-demand or reserved clusters across hyperscalers and NeoClouds.

August 22, 2025 //  by Finnovate

Lightning AI, the company building the infrastructure layer for AI development, announced the launch of its Multi-Cloud GPU Marketplace, a unified platform that gives AI teams access to on-demand and reserved GPUs across leading cloud providers, including top-tier hyperscalers and a new generation of specialized compute platforms known as NeoClouds. With Lightning AI, teams can now choose the best GPU provider for their goals, like optimizing for cost, performance, or region, all within a single interface and an intuitive, unified platform for AI development trusted by over 300,000 developers and Fortune 500 enterprises alike. The Multi-Cloud GPU Marketplace supports both on-demand GPUs and large-scale reserved GPU clusters where customers can choose fully managed SLURM, Kubernetes or Lightning’s next-gen AI orchestrator. This allows customers to bring their favorite tools and stack with no workflow changes so they can scale training, fine-tuning, and inference workloads on their terms. Built on Lightning AI’s end-to-end development platform, users can prototype, train, and deploy AI without worrying about infrastructure rework or cloud-specific setup. Lightning AI’s marketplace addresses a clear and growing need by giving teams the ability to scale AI with freedom of choice, cost transparency, and no friction. Key benefits include: Run across clouds using a single interface, with no manual orchestration or job rewrites; Access GPUs from top providers, including premium hyperscalers and emerging NeoClouds; Reserve compute or run on-demand depending on workload needs; Avoid vendor lock-in with a flexible, portable platform that works across your favorite clouds; Eliminate infrastructure overhead and use SLURM, Kubernetes, baremetal or Lightning without the DevOps burden.

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Category: AI & Machine Economy, Innovation Topics

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