{"id":34211,"date":"2023-12-16T03:00:00","date_gmt":"2023-12-16T11:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=34211"},"modified":"2023-12-15T14:16:57","modified_gmt":"2023-12-15T22:16:57","slug":"lightning-ai-introduces-lightning-ai-studios-its-enterprise-grade-platform-for-rapid-prototyping-and-deploying-ai-products","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/12\/16\/lightning-ai-introduces-lightning-ai-studios-its-enterprise-grade-platform-for-rapid-prototyping-and-deploying-ai-products\/","title":{"rendered":"Lightning AI Introduces Lightning AI Studios; its Enterprise-Grade Platform for Rapid-prototyping, and Deploying AI Products"},"content":{"rendered":"
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Lightning AI<\/a>, the company behind PyTorch Lightning, with over 91 million downloads, announced the introduction of Lightning AI Studios, the culmination of 3 years of research into the next generation development paradigm for the age of AI.<\/p>\n\n\n\n

Software 1.0 such as web apps, servers, etc, can be efficiently built on laptops. But for software 2.0, the age of AI, laptops are missing the 1000s of GPUs, Terabytes of storage and collaborative capabilities needed for this new paradigm. Lightning Studios are cloud-based virtual environments where AI researchers and developers can code on the browser or from their laptops to develop and ship AI together.<\/p>\n\n\n\n

PyTorch Lightning has become the standard for training large-scale models, such as Stable Diffusion with over 10,000 companies using it to build AI at scale. Using this knowledge, the team at Lightning AI, rethought, from the ground up, what AI development on the cloud should feel like.<\/p>\n\n\n\n

\u201cWhat we did for AI frameworks with PyTorch Lightning, we\u2019re doing for AI development with Lightning AI Studios,\u201d said Will Falcon, founder and CEO of Lightning AI and creator of PyTorch Lightning. \u201cML tooling has not meaningfully evolved in decades – until now. Just like a smartphone brings together all the tools we previously carried separately – a phone, a camera, a calculator, you name it! – Lightning AI Studios brings together everything needed to build and deploy AI products at scale in one, easy-to-use platform.\u201d<\/em><\/p>\n\n\n\n

Developers today, string together 20 platforms to monitor, train, serve, prep data, host apps, etc. Lightning AI Studio unites all those tools into a single, cohesive experience that lets them stay focused on your work without context switching. A Lightning Studio has apps that do specialized work, such as code on the cloud, multi-node training, distributed data preparation, or hosting and sharing AI web apps. Developers can also write their own Studio apps to fully personalize the platform to their workflows.<\/p>\n\n\n\n

\u201cWe have some developers who run 100s of variations of a model (sweep) at once, or train a single model on hundreds of GPUs without problems,\u201d added Falcon. \u201cThey love the instant feedback they get when things fail. I wanted to introduce the iPhone of AI tooling, and I think this has the potential to be that.\u201d<\/em><\/p>\n\n\n\n

Lightning fundamentally re-architects how developers work by abstracting away every non-core activity and providing a single interface for all AI development needs. Users can:<\/p>\n\n\n\n