Lightning AI ⚡️ (@LightningAI) / X

Lightning AI ⚡️

5,005 posts

Lightning AI ⚡️

@LightningAI

The AI omnicloud PyTorch developers love. Made the first AI Studio & PyTorch Lightning. Get help: discord.com/invite/MWAEvnC…

New York, NY

Joined August 2019

Lightning AI ⚡️
@LightningAI
3m
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
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Lightning AI ⚡️
@LightningAI
Jun 10
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
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Lightning AI ⚡️
@LightningAI
Jun 9
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.
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Lightning AI ⚡️
@LightningAI
Jun 9
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
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Lightning AI ⚡️
@LightningAI
Jun 8
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
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Lightning AI ⚡️
@LightningAI
Jun 7
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
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Lightning AI ⚡️
@LightningAI
Jun 6
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
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Lightning AI ⚡️
@LightningAI
Jun 5
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
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Lightning AI ⚡️
@LightningAI
Jun 4
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
GIF
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Lightning AI ⚡️
@LightningAI
Jun 4
Most people leave NY Tech Week with a notebook full of ideas. This Saturday, 200+ developers are getting together to build AI agents in NYC. Teams will demo what they build to judges from NVIDIA, Okta, The Sentience Company, and Lightning AI. We'll bring the GPUs, tools, and
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Lightning AI ⚡️
@LightningAI
Jun 3
Hermes Agent crossed 140,000 GitHub stars in under three months and is now the most-used agent on OpenRouter. Built by Nous Research, Hermes focuses on two things agents have historically struggled with: reliability and self-improvement. It's provider- and model-agnostic, built
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Lightning AI ⚡️
@LightningAI
Jun 2
Most people leave NY Tech Week with notes. We're helping people leave with agents. This Saturday, Lightning AI, Validia, and The Sentience Company are hosting an Agent Hackathon in NYC. Join 200+ developers for a full day of building AI applications alongside other builders.
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Lightning AI ⚡️
@LightningAI
Jun 1
We're racing into Day 2 of Cisco Live. Cisco AI Pods provide the compute. Lightning provides the layer for environments, orchestration, deployment, and inference. Together, they help teams take AI workloads from development to production. Stop by Booth 3224 to see it in
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