On-demand GPUs, managed clusters to develop, train and deploy AI in one place. : https://xitter.cf/t.co/a69wnEBpKH

New York, NY
Joined August 2019
We’ve identified a security incident involving unauthorized access to the Lightning Platform involving unauthorized access to credentials. This is an active investigation and during this time the Platform will remain inaccessible to users as our teams focus on addressing the event. Please refer to our security notice: go.lightning.ai/4yOMOCd
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PyTorch Conference starts next week and we’re bringing two sessions. 🔹 Turning Tribal AI Knowledge into a Model Liana Koleva and Teja Pulagam tackle a question every ML team runs into: how do you turn what your best engineers know in their heads into something a model can actually learn? 📍 Room 210A | 🗓️ Wed, Oct 21, 11:45am–12:10pm PT 🔹 What Agentic ML Engineering Looks Like on Lightning FNU Harsh and Sarah Ahmed break down what agentic ML workflows actually look like in practice. 📍 Demo Theatre, Community Expo | 🗓️ Wed, Oct 21, 1:30–1:40pm PT If you’re at PyTorch Conference, come find us.
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Join us at GTC Berlin next week. On Wednesday, Oct 21, Lightning AI is on the NVIDIA × betahaus partner panel at the AI Startup Compute Night, talking GPU access, infrastructure, and what it takes to get compute at every stage, from prototype to production. Then, stick around for food, drinks, and networking with AI founders, builders, and technical leaders. 📍 Berlin | 🗓️ Oct 21, 6–9pm CEST Request to join → luma.com/6bx2qu5m
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Join Lightning AI for a fireside chat on scaling RL on PyTorch, then stick around for a happy hour with a retro arcade and free food and drinks. Sarah Ahmed (ML Solutions Engineer, Lightning AI) moderates with Alireza Shamsoshoara (AI/ML Engineer, PyTorch team @ Meta) on Oct 20th during PyTorch Conference, discussing why game environments are some of the hardest places to train RL agents: real-time constraints, huge action spaces, and players who notice the moment an agent feels off. 6:00 PM : Fireside chat 6:40 PM : Q&A 7:00 PM : Happy hour: retro arcade, free food and drinks Register here → luma.com/3thl4zbw
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Game environments are some of the hardest places to train RL agents: real-time constraints, huge action spaces, and players who notice the moment an agent feels off. Join Lightning AI on Oct 20 during PyTorch Conference for a fireside chat on Scaling RL on PyTorch: Monarch, TorchTitan, and What Games Demand. Sarah Ahmed (ML Solutions Engineer, Lightning AI) moderates with Alireza Shamsoshoara (AI/ML Engineer, PyTorch team @ Meta) 6:00 PM : Fireside chat 6:40 PM : Q&A 7:00 PM : Happy hour: retro arcade, free food and drinks Capacity is limited and registration is required for the address. Register here → luma.com/3thl4zbw
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If you have cloud credits sitting unused or a Slurm cluster you already run, bring your own cloud to Lightning. Connect AWS, GCP, Azure, Slurm, Kubernetes and more, keep your data in your VPC, and run Studios on your own infrastructure. Add an account → spin up a Studio → start training Visit Lightning to start today → go.lightning.ai/4jiLmU0
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Last Tuesday night at the Exploratorium, builders solved puzzles, played games, and competed for bragging rights during SF Tech Week. Thanks to everyone who showed up and brought the energy and to @Techweek_ for the opportunity to be an official host. Our next event is on Tuesday, October 20th. Learn more → luma.com/3thl4zbw
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"Top 1% in terms of all of our vendors." That's how @bradley_emi, CTO and co-founder of @pangram labs, describes working with the Lightning team. Pangram builds AI detectors that tell human writing from machine writing. They went from 3 people to 25, scaled from a single A10G to clusters of 8xH100s, and never built an infrastructure team. When you're that lean, waiting days for an answer isn't an option. For a fast-moving research team, fast answers matter as much as fast GPUs. Read the full story → go.lightning.ai/4hxkJYY
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San Jose. Berlin. Same week. Here's where to find the Lightning team and how to grab time with us. Join us for panel discussions, fireside chats, and networking with AI builders around the world. 🇩🇪 Berlin GTC luma.com/6bx2qu5m 🔥 PyTorch Con luma.com/3thl4zbw
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Thanks for everyone who joined us at the Exploratorium for SF Tech Week! Tech Tile Tuesday had everyone collaborating with hands on activities, puzzles, games & competition! Definitely not your average mixer and we thank everyone who helped make it possible. Our next event is in 2 weeks. Learn more → luma.com/3thl4zbw
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During GTC Berlin, Lightning AI is joining NVIDIA and @betahaus Berlin for AI Startup Compute Night. We'll be on the partner panel talking GPU availability, infrastructure, and what it takes to get compute at every stage, from prototype to production. Then, stick around for food, drinks, and networking with AI founders, builders, and technical leaders. 📍 Berlin | 🗓️ Oct 21, 6–9pm CEST Space is limited. Reserve your spot now → luma.com/6bx2qu5m
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Lightning AI is heading to San Jose for PyTorch Conference 2026! ⚡ Meet the team October 20-21 at Booth P6. Building with PyTorch and hitting limits on training speed, GPU access, or scaling experiments? Stop by to talk through what you're building. Drop a comment or message us to grab time at the booth.
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This week in Atlanta, @JonKrohnLearns, Fellow of Machine Learning Practice at Lightning AI, is speaking at @Mill_All's Enterprise AI Security Transformation Assembly. The roundtable discussion will cover what it actually takes to run AI models securely at the infrastructure level. If you're a CISO (chief information security officer) or in a related role, you can request an invite below. 📅 October 7-8 📍 The Whitley, Atlanta Buckhead
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Another big month in the books for Lightning: We hit 16x QoQ growth on the Lightning Cloud, kicked off a fleet-wide upgrade from H100s → H200s, and helped power Chronos, the data engine behind Therna Biosciences' AI RNA Biologist. And with October around the corner, we're already looking ahead: we'll be at GTC Berlin October 20-22. Here's what shipped and where we're headed next → go.lightning.ai/4y71FHU
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Next week in Atlanta, @JonKrohnLearns, Fellow of Machine Learning Practice at Lightning AI, is speaking at @Mill_All's Enterprise AI Security Transformation Assembly. The roundtable discussion will cover what it actually takes to run AI models securely at the infrastructure level. If you're a CISO (chief information security officer) or in a related role, you can request an invite below. 📅 October 7-8 📍 The Whitley, Atlanta Buckhead
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We just opened up more space (and ordered more food) for our @Techweek_ event. 🗓️ Tuesday, Oct 6, 7pm 📍 San Francisco's Exploratorium, 🔎 Sensory experiences, puzzles, free food and drinks. Founders and builders ... skip the panels for this. It will be fun! RSVP now: go.lightning.ai/464te8A
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Lightning AI just added three executives: Heather Paduck as CFO, @BettyJunod as CMO, and Jarlath Doherty as CPO, bringing decades of experience in building and scaling at companies like STACK infrastructure, Heroku, Docker, Squarespace, Collibra, and Linkedin. Thrilled to have all three join us as Lightning builds a full-stack AI cloud; infrastructure and developer platform in one place. More on the team → go.lightning.ai/4hm3k6I
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2-3 engineer-years saved. 50-60% lower compute costs. @pangram builds AI detectors that tell human writing from machine writing. In three years, they've grown from 3 people to 25, launched their most accurate detector yet, and recently closed a $9M round, all without hiring a single infrastructure engineer. Read how they kept their focus on the science, not the GPUs → go.lightning.ai/4hxkJYY
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Faster checkpoints, less GPU idle time. Our collaboration with Google Cloud brings GCSFS and Rapid buckets to PyTorch Lightning, cutting checkpoint write times by up to 95%. Full breakdown and how to try it → go.lightning.ai/4ySHm0R
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Therna Biosciences released Chronos, the data engine behind RNA-Logix™, their AI RNA Biologist, along with select Chronos study sets that any researcher can download and use. Proud to support @thernabio's release with a ready-to-use Lightning Studio loaded with the Chronos data, notebooks, and models. Just open it up and start exploring. Get started for free → go.lightning.ai/4AyBLyq
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