Lightning AI ⚡️
@LightningAI

On-demand GPUs, managed clusters to develop, train and deploy AI in one place. : discord.com/invite/MWAEvnC5f…

 New York, NY
lightning.ai
Joined August 2019
1,601 Photos and videos
Lightning AI is heading to Berlin! Come meet us at GTC October 20-22. ⚡ Evaluating H200 capacity or scaling your AI infrastructure? Meet our team on the ground: Neil Bhatt, Nate Winn, Nick Gardener, Dom Fucci, and Thomas Chaton. We’d love to learn what your team is building and see where Lightning AI can help drive faster outcomes. Drop a comment or send us a message and we'll set up time to connect while we're there.
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Less than 50 spots left for our @Techweek_ event. 🗓️ Tuesday, Oct 6 📍 San Francisco's Exploratorium, 🔎 Sensory experiences, puzzles, free food and drinks. Founders and builders ... skip the panels for this. RSVP now: go.lightning.ai/464te8A
A vibrant event scene with people mingling and interacting in a dimly lit venue. The setting includes colorful lights and displays, with a prominent dome structure in the background. The text on the image reads: "SF Tech Week Tech Tile Tuesday," and "Lightning AI OCT 6 7-10PM.

ALT A vibrant event scene with people mingling and interacting in a dimly lit venue. The setting includes colorful lights and displays, with a prominent dome structure in the background. The text on the image reads: "SF Tech Week Tech Tile Tuesday," and "Lightning AI OCT 6 7-10PM.
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Fine-tune Meta AI's Muse Glimmer 100% locally, using Lightning's new studio template and Unsloth. QLoRA, 4-bit quantization, and embedding offload let you run it on a 24 GB GPU: fine-tune the vision tower, language model, or both, then save as LoRA adapters or a merged model ready for deployment. Clone it and start building → go.lightning.ai/46ySTq6
This image is a presentation slide for "Meta Muse Glimmer (30B)," a vision perception encoder model. The slide features a detailed diagram of the model architecture, which includes multiple "Post MLP layers," "Linear layers," "ROPE," and embeddings. It highlights a vocabulary size of 32K and provides specifications like a hidden dimension of 6144. Supported context length is 8192 tokens. On the right, there are performance graphs comparing "DGX Spark + Ollama" in prompt processing, token generation, and memory usage, with lower values indicating better performance.

ALT This image is a presentation slide for "Meta Muse Glimmer (30B)," a vision perception encoder model. The slide features a detailed diagram of the model architecture, which includes multiple "Post MLP layers," "Linear layers," "ROPE," and embeddings. It highlights a vocabulary size of 32K and provides specifications like a hidden dimension of 6144. Supported context length is 8192 tokens. On the right, there are performance graphs comparing "DGX Spark + Ollama" in prompt processing, token generation, and memory usage, with lower values indicating better performance.

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Owning your AI stack isn't a cost decision. It's a control decision. Our own Jon Krohn and Frank Basso sat down with @BusinessInsider to make the case for smaller, specialized models: trained on your data, running on infrastructure you own, and outperforming generic off-the-shelf AI for enterprise teams. Higher ROI. Lower token spend. Full control. They also walk through how the Dell AI Factory with NVIDIA turns that full-stack approach into something you can actually deploy today. Try it for free: go.lightning.ai/46B91ra
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Congratulations to Lightning AI’s Machine Learning Solutions Engineer, Sarah Ahmed, whose research was accepted to the Women in Machine Learning Workshop at NeurIPS 2026. Excited to have her share her work, "On Composing Cost-Reduction Techniques in Multi-Agent Systems: A Practitioner’s Empirical Study" at NeurIPS Atlanta this December.
Sarah Ahmed, Lightning AI's Machine Learning Solutions Engineer, stands in front of a door that is decorated with PyTorch Lightning code written upon it. She holds a small stuffed mascot of Lightning AI, a cloud with a smiling face, and arms holding a lightning bolt.

ALT Sarah Ahmed, Lightning AI's Machine Learning Solutions Engineer, stands in front of a door that is decorated with PyTorch Lightning code written upon it. She holds a small stuffed mascot of Lightning AI, a cloud with a smiling face, and arms holding a lightning bolt.

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Most AI teams don't need another tool. They need fewer tools. Here's what building, training, evaluating, and scaling AI looks like when it's all in one platform. Try it for yourself → go.lightning.ai/4wlcncr
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Millions of RNA measurements, the case for owning your AI stack and exciting new hires. Read this week’s Signal newsletter. go.lightning.ai/4hxRpm3
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Millions of RNA measurements, one Lightning Studio

This week, we’re proud to support the release of Chronos, by our friends at Therna Biosciences. Chronos is the data engine behind their AI RNA Biologist, RNA-Logix™ and was developed with tens of

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After a long day on the conference floor of the AI Infra Summit, our happy hour was the perfect event to unwind with amazing food, great drinks, and meaningful conversations. This is what we love building: not just infrastructure, but a room full of the people actually building with it. See you at the next one! ⚡
A group of seven people standing and smiling in front of a wall with green foliage. Above them is a neon sign that reads "Fleming's". They are wearing conference badges and casual to semi-formal attire.

ALT A group of seven people standing and smiling in front of a wall with green foliage. Above them is a neon sign that reads "Fleming's". They are wearing conference badges and casual to semi-formal attire.

Three people are smiling and standing together indoors, each holding branded bags with the Lightning AI logo. They appear to be in a brightly lit room near a window.

ALT Three people are smiling and standing together indoors, each holding branded bags with the Lightning AI logo. They appear to be in a brightly lit room near a window.

Three people stand together at a small round table during an event. They are smiling and wearing conference badges. The table holds drinks and plates with snacks. The background features large windows with curtains.

ALT Three people stand together at a small round table during an event. They are smiling and wearing conference badges. The table holds drinks and plates with snacks. The background features large windows with curtains.

A group of people are gathered in a room with wooden flooring and a green wall display labeled "fleming's" One person is taking a selfie with a phone. Others are chatting and holding drinks. The atmosphere appears social and casual.

ALT A group of people are gathered in a room with wooden flooring and a green wall display labeled "fleming's" One person is taking a selfie with a phone. Others are chatting and holding drinks. The atmosphere appears social and casual.
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San Francisco @Techweek_ fills your calendar fast. Skip the panels. Go to the Exploratorium with us instead. Tech-Tile Tuesday features sensory exhibits, tactile puzzles, a craft cocktail bar, free food. If you're ready to trade keynotes for hands-on science, save you spot now: partiful.com/e/xFUO11tO8zPo7…
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Owning your AI stack isn't a cost decision. It's a control decision. Our own Jon Krohn and Frank Basso sat down with @BusinessInsider to make the case for smaller, specialized models: trained on your data, running on infrastructure you own, and outperforming generic off-the-shelf AI for enterprise teams. Higher ROI. Lower token spend. Full control. They also walk through how the Dell AI Factory with NVIDIA turns that full-stack approach into something you can actually deploy today. Watch the full conversation: go.lightning.ai/4yEZlYs

How Owning Your Own AI Can Unlock Smarter, More Precise Agents

Sponsored by Dell AI Factory with NVIDIAAt the dawn of agentic AI...

youtube.com
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Proud to support this release with a ready-to-use Lightning Studio. Just open it up and start exploring the Chronos data, notebooks, and models. Get started for free go.lightning.ai/4dh26Ha

chronos-public-release - a Lightning template by amirroknabadi

Chronos measures how 5′ and 3′ UTR sequences influence reporter activity and RNA stability across 47 cellular contexts. This Studio provides analysis-ready data, documented notebooks, trained seque…

lightning.ai
Therna@thernabio
Sep 15
Today we are releasing Chronos, the data engine behind our AI RNA Biologist, RNA-Logix™. Tens of thousands of synthetic mRNAs. ~50 human cell lines. Followed over time. One experiment. Millions of functional RNA measurements. prnewswire.com/news-releases… #RNA #mRNA
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From hardware to the hardwood. Official Lightning AI jerseys just landed for our Corporate Rivals league team in Silicon Valley. Broke them in with a win in our first game. Three-time champions, now properly kitted out and off to a strong start on defending the title.
The image shows a basketball team posing on an indoor court. There are nine standing and kneeling individuals wearing purple jerseys that read "Lightning AI" One person is kneeling in casual clothing, holding a basketball. A basketball hoop is visible in the background.

ALT The image shows a basketball team posing on an indoor court. There are nine standing and kneeling individuals wearing purple jerseys that read "Lightning AI" One person is kneeling in casual clothing, holding a basketball. A basketball hoop is visible in the background.

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The NVIDIA H100 remains one of the most valuable GPUs for scientific, academic, or precision-driven work. H100s are exceptionally strong at: -FP32 / FP64 numerical workloads -Simulations and scientific modeling -Physics, biosciences, and high-precision training -Any task where reproducibility is non-negotiable We can help you determine whether the H100 is the right tool for your job: go.lightning.ai/4r7W8OC
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Happening this week: Meet our team at the AI Infra Summit September 15-17 at the Santa Clara Convention Center. Let's talk about what GPU utilization, moving workloads, and custom built clusters look like when you work with Lightning AI. Can't make it? Learn more about our instant on demand and spot capacity: lightning.ai/lightning-cloud
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We're #hiring 35 new positions in the city so nice ... they named it twice. Bring your skills to our team in New York, New York! Search our jobs and apply today: job-boards.greenhouse.io/lig…

Lightning AI

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to...

job-boards.greenhouse.io
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16× quarter-over-quarter growth on the Lightning Cloud. Plus SF @Techweek_ details in this week's newsletter. go.lightning.ai/4h1boZ3
The image displays the word "SIGNAL" with the number "13" in smaller text above the letter "L." Below, the text reads: "This week in AI. By the people building it." The background is black with subtle dotted lines.

ALT The image displays the word "SIGNAL" with the number "13" in smaller text above the letter "L." Below, the text reads: "This week in AI. By the people building it." The background is black with subtle dotted lines.

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Article

8x growth on the Lightning Cloud today

I’m proud to share that the Lightning cloud is growing 16× QoQ. More notably we’re seeing 240% growth from Lightning customers that have been with us since before we launched the Lightning cloud. If
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We worked with Google Cloud to fix how PyTorch Lightning moves data between GPUs and object storage. The result? PyTorch Lighting checkpointing now runs up to 95% faster using Rapid buckets and GCSFS. But you don't have to take our word for it. Try it for yourself: lightning.ai/blog/ptl-checkp…
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Hey San Francisco! We're bringing the brain break you need during @Techweek_ to the waterfront October 6. "Tech-tile Tuesday" is for AI builders looking to create unique connections through sensory displays, puzzles (and of course free food and drinks). Spots are limited. Register now → go.lightning.ai/464te8A
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