Lightning AI ⚡️

On-demand GPUs, managed clusters to develop, train and deploy AI in one place. :

[Lightning AI ⚡️ @LightningAI]

We're hiring → https://t.co/TGoasfFP1w

[Lightning AI ⚡️ @LightningAI]

Getting @streamlit running shouldn’t feel like a side quest.

Start from a Streamlit studio in Lightning and jump straight into building your app.
Powerful GPUs are ready on demand, so you can prototype, test, and ship AI-powered apps faster, without any setup headaches.

Try free → https://t.co/ge81OQE7XO

[Lightning AI ⚡️ @LightningAI]

https://t.co/s3ScKUGLSD

[Lightning AI ⚡️ @LightningAI]

Excited to announce that Lightning AI CPTO Saurabh Giri is hosting a roundtable at The Millennium Alliance (@Mill_All) in Austin on June 24.

Transforming the Digital Enterprise Assembly will cover the fastest ways to overcome the biggest blockers when building production-ready AI.

Request an invite → https://t.co/xG8z0PTYRA

[Lightning AI ⚡️ @LightningAI]

@varun_slops Appreciate the shoutout, Varun! Happy to help builders get access to the compute they need. ⚡

[Lightning AI ⚡️ @LightningAI]

@pavlac_ Sorry you're running into this. Can you DM us the email tied to your Lightning account and the SSH error you're seeing? We'll investigate and see what's going on.

[Lightning AI ⚡️ @LightningAI]

@aaliya_va Agreed. Going from months of work to a single day is a pretty compelling glimpse of what's possible with these next-generation models.

[Lightning AI ⚡️ @LightningAI]

In early testing, Stripe pointed Claude Fable 5 at a 50M line Ruby codebase and ran a migration across the whole thing in a day. Before Fable, this work would've taken a team two months by hand.

Fable 5 is the first Mythos-class model Anthropic has released for general use. State-of-the-art on coding, knowledge work, vision, and research, built for long-running agent workflows where earlier models lose the thread.

And it's live on Lightning AI now → https://t.co/ZmW0Vrk3zD

[Lightning AI ⚡️ @LightningAI]

Congratulations to @devriesmatt and the @sentinal4d team on being named a SXSW London finalist.

They're working on one of the hardest problems in oncology: predicting how a tumor responds to a drug before a patient ever receives it. Built on Lightning, Sentinal4D turns terabytes of 3D microscopy data into living models of how cancer evolves.

Read the full story → https://t.co/LQ8MWR4xuL

[Lightning AI ⚡️ @LightningAI]

We're proud to be included in Cisco Compatible AI Solutions, Cisco's ecosystem of AI software partners validated on Cisco AI Infrastructure.

The organizations moving fastest won't be the ones with the most hardware. They'll be the ones with the shortest path from infrastructure to application.

Read about how Cisco and Lightning AI are working together → https://t.co/k7pVv1EO0X

[Lightning AI ⚡️ @LightningAI]

Google's TPUs are built for AI. Faster training, faster inference, and often more cost-effective than GPUs for large models.

But people are usually blocked by the complex setup.

Lightning AI Studios make them one-click accessible with zero complexity.

Try them for your next project → https://t.co/s5WwfHwstZ

[Lightning AI ⚡️ @LightningAI]

@WUSSASSINS In general, customers retain ownership of their models and data. For questions around licensing, commercial rights, and legal agreements, please contact [email protected] so we can discuss your specific requirements.

[Lightning AI ⚡️ @LightningAI]

Healthcare systems are sitting on decades of proprietary data. Turning that data into production AI is the hard part.

Today we're proud to announce our agentic AI platform, GraphN, is the execution layer underneath Kanza AI's Clinical Reasoning System, now live at Freya Clinic in California.

Built on 300TB+ of proprietary clinical data from 90+ hospitals and 400+ locations, the system helps physicians reason through diagnoses with auditable, reproducible decision-making.

Production deployments are where AI stops being a benchmark and starts becoming infrastructure. → https://t.co/iAdkJkiS5c

[Lightning AI ⚡️ @LightningAI]

@PyTorch @UnslothAI @modal Proud to support OpenEnv. Excited to see the community come together around open infrastructure for agentic RL. 🚀

[Lightning AI ⚡️ @LightningAI]

@stacktower Thanks for the shoutout! ⚡ It's amazing to see PyTorch Lightning still helping developers move faster years after its launch. Huge credit to the open-source community that's contributed, adopted, and pushed the project forward.

[Lightning AI ⚡️ @LightningAI]

@rahulpalli_08 Hi Rahul. GPU pricing can vary over time based on the underlying infrastructure and provider costs. If you're seeing a specific price change, could you share which GPU you're referring to? We'll be happy to take a look and provide more context.

[Lightning AI ⚡️ @LightningAI]

Most people leave NY Tech Week with new ideas.

This weekend, builders at our Hackathon left with working applications.

In a single day, teams went from idea to demo, building AI-powered tools for healthcare, finance, internal operations, and productivity.

Thanks to our co-hosts Validia and The Sentience Company, our judges, and everyone who spent their Saturday building with us.

Some left with prizes. Everyone left with something they built.

Build your own app → https://t.co/oQPSe0QAwd

[Lightning AI ⚡️ @LightningAI]

Last time, teams turned ideas into working AI agents in 5 hours.

Manufacturing. Fintech. Developer tools. Internal knowledge systems.

Today, 200+ developers are gathering for our Personalized Agents Hackathon at NY Tech Week.

By tonight, many of those ideas will be running software. → https://t.co/tc7hfDEnrU

[Lightning AI ⚡️ @LightningAI]

Cisco Live is a wrap.

Across conversations with enterprise teams, researchers, and partners, it was clear that organizations are looking for practical ways to put AI into production.

We showed how Lightning helps teams turn AI infrastructure into production AI workflows, from training and inference to internal AI applications.

We leave Las Vegas with new relationships, growing partner momentum, and excitement for the work ahead.

Thanks to everyone who stopped by, joined our F1-themed networking event, and spent time with the team. ⚡

[Lightning AI ⚡️ @LightningAI]

NVIDIA Nemotron 3 Ultra is now live on Lightning ⚡

• Open frontier reasoning for long-running autonomous agents
• Up to 1M-token context
• Up to 5x faster inference
• Up to 30% lower cost for agentic workloads

Deploy and orchestrate multi-model agent systems across cloud, hybrid, and on-prem environments.
Try it → https://t.co/bbvOezjQUF