Lightning AI ⚡️ @LightningAI
On-demand GPUs, managed clusters to develop, train and deploy AI in one place. : https://t.co/a69wnEBpKH lightning.ai New York, NY Joined August 2019-
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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
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
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! ⚡
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/xFUO11tO8zPo…
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
@rahulOffice173 Nice progress! Paged attention and vLLM batching in one session is solid. Nice to see Lightning in the mix for your GPT-2 work.
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
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
@genophoria Huge congrats to the Therna team on this release!
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 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
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
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/lightningai?of…
Thanks for hosting the Lightning AI team! It was great to tour the facilities and even better to connect with so many of the innovative startups in your ecosystem. We’re incredibly excited about the partnership and look forward to working together to help the lab and its companies achieve their goals. Excited for what we can build together!
16× quarter-over-quarter growth on the Lightning Cloud. Plus SF @Techweek_ details in this week's newsletter. go.lightning.ai/4h1boZ3
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-check…
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
H100s remain one of the most valuable GPUs you can rent today for real scientific, academic, or precision-driven work. The Hopper architecture was heavily shaped by early demand from scientific and research institutions. -FP32 / FP64 numerical workloads -Simulations and scientific modeling -Physics, biosciences, and high-precision training -Any task where reproducibility is non-negotiable For work that depends on accuracy, reproducibility, and stable long-running training cycles, the H100 remains one of the smartest GPU investments. Get yours now → go.lightning.ai/3V5YDoz
We're mixing free thinking with food and drinks for the break you need during the AI Infra Summit. No demos, pitch decks, or badges required at this exclusive evening hosted Sept. 16 by Lightning AI. Space is limited so RSVP → luma.com/wz5lpw98
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⚡New Handle: @Light... @pytorchlightnin
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