Lightning AI, a platform that provides tools for developing artificial intelligence and machine learning apps, today announced the launch of its multicloud graphics processing unit marketplace, which will provide AI teams access to on-demand and reserved GPUs.
The company said the new GPU marketplace will put the power of AI infrastructure into the hands of AI developers and teams in a way they haven’t had before, directly on the company’s platform. It allows them to pick and choose GPUs in leading top-tier hyperscaler cloud providers and specialized compute platforms known as neoclouds.
Lightning explained with the marketplace, developer teams can now choose the best GPU provider for their goals and optimize for cost, performance or region, all within a single interface.
“This launch is about giving AI teams control, flexibility and speed,” said Chief Executive William Falcon. “Every customer we work with has unique requirements, and our job is to support those workflows while helping them use their favorite cloud.”
Cloud providers available to customers through the new GPU Marketplace include Amazon Web Services Inc., Google Cloud Platform, Lambda Inc., Nebius Group N.V., Nscale Ltd., Voltage Park Inc. and Lightning Cloud.
“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,” said Saurabh Giri, chief product and technology officer at Voltage Park.
Lightning added the marketplace will allow customers to bring their favorite tools and stack with no workflow changes, so they can scale their projects, including training, fine-tuning and inference on their terms.
The new marketplace offers a unified interface for multicloud operations, allowing users to reserve compute power or run applications on demand without vendor lock-in. Ideally, this will allow teams to eliminate infrastructure overhead and use their favorite tools such as Kubernetes, Slurm workload management, bare-metal infrastructure or Lightning for orchestration.
“AI teams shouldn’t have to rebuild their entire stack every time they change providers,” said Luca Antiga, chief technology officer of Lightning AI.
The platform already hosts a broad variety of tools that developers will find extremely useful, including full-, low- and no-code environments for training and deploying AI models and creating intelligent agents. Developers can collaborate to host AI applications directly on Lightning’s platform.
Earlier this year, Lightning launched an AI marketplace with ready-made enterprise applications with the Lightning AI Hub. The Hub, featuring prebuilt AI applications, provides no-code application programming interfaces and the ability to pick and choose AI models to power the applications out of the box or templates to customize them. It’s akin to an Apple App Store or Google Play Store, where developers can just pick out an AI app and run with it.
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