For the first time, teams can access high-performance GPUs with a full-featured platform. No tradeoffs between flexibility, speed, or scale.
Lightning AI,the company building the infrastructure layer for AI development, today 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.
The marketplace eliminates the tradeoffs AI teams have faced for years. Until now, they often had to choose between established providers with ML platforms, or newer providers but having to build everything on top to manage infrastructure, scaling, and storage themselves. With Lightning AI, teams can now choose the best GPU providerfor their goals, likeoptimizing 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.
“We're thrilled to give Lightning AI users seamless access to Lambda's high-performance On-Demand compute-right from their preferred environment. By combining Lightning AI's development platform with Lambda's reliability and scale, we're empowering AI developers to build with confidence for the future,” said Robert Brooks IV, Founding Team and VP, Revenue, of Lambda.
“This launch is about giving AI teams control, flexibility, and speed,” said William Falcon, CEO of Lightning AI. “Every customer we work with has unique requirements, and our job is to support those workflows while helping them use their favorite cloud. Whether it's a major hyperscaler or a NeoCloud, Lightning AI gives you a single, consistent experience on any of your favorite clouds.”
Choice Without Complexity
The Multi-Cloud GPU Marketplace supports both on-demand GPUsand 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 sothey 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.
“Nebius was built for enterprises running demanding AI workloads, and Lightning AI makes it even easier for them to adopt our infrastructure. Together, we're bringing teams the GPU performance and enterprise-grade reliability they need, with zero DevOps overhead,” said Laurelle Roseman, VP Channel and Alliances at Nebius.
Key benefits include:
— Run across cloudsusinga single interface, with no manual orchestration or job rewrites
— Access GPUs from top providers, including premium hyperscalers and emergingNeoClouds
— Reserve compute or run on-demanddepending on workload needs
— Avoid vendor lock-inwith a flexible, portable platform that works across your favorite clouds
— Eliminate infrastructure overheadand use SLURM, Kubernetes, baremetal or Lightning without the DevOps burden
Meeting the Moment for AI Infrastructure
Infrastructure costs, complexity, and lock-in have become obstacles as companies double down on AI investments. 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.
“At Voltage Park, our mission is to remove infrastructure hurdles so any team can participate in building with AI,” said Saurabh Giri, Chief Product and Technology Officer at Voltage Park. “Our integration with Lightning AI brings our high-performance AI factory infrastructure seamlessly into the development workflow so teams can test, train, and deploy with the tools they already love.”
“AI teams shouldn't have to rebuild their entire stack every time they change providers,” said Luca Antiga, CTO of Lightning AI. “With Lightning AI, they don't. They get access to the GPUs they want, wherever they want them, with their highly-specialized stacks, without slowing down.”
“Together with Lightning AI, we're addressing a critical need in the market: a platform that's intuitive, high-performance, and ready for enterprise generative AI,” said Daniel Bathurst, CPO at Nscale. “European enterprises can now access secure, sovereign infrastructure directly through Lightning's flexible AI platform, helping them move faster while meeting regional compliance and operational needs.”
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About Lightning AILightning AI is the company behind PyTorch Lightning, the deep learning framework of choice for developers and enterprises building AI products. Its flagship product, Lightning AI Studio, streamlines AI development and accelerates the experimentation phase. AI Hub then takes those experiments into production, enabling seamless deployment of scalable, enterprise-grade AI systems.
For more information, visit: https://www.lightning.ai/.
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