Crusoe

📅 October 7 🕔 5 p.m. PT 📍 San Francisco, CA Join us Wednesday evening to explore a fundamental decision for AI builders: closed, open, or proprietary models? Crusoe's SVP of Product Management Erwan Menard will sit down with the founders of Ollama and Trajectory to explore how each path trades off cost, control, performance, and speed to ship. Come connect with teams making decisions around training and inference, architectural choices, and strategic bets. Space at our Crusoe AI Talks series is limited to ensure a quality experience. Request an invitation: 🔗 https://luma.com/lnnlfa87

A generalist model can read the internet. It hasn’t seen your factory floor. Most valuable computer vision use cases sit in the long tail. Whether a part is seated correctly in an engine compartment is something only that manufacturer has ever seen, and that data can't be scraped. So Roboflow lets customers run their own models on Crusoe Cloud: → 69,000+ fine-tuned vision models live at any given time, bin-packed onto shared GPUs as users come and go, out of 300,000+ served overall 🤯 → Hundreds of millions of requests a month at ~50 ms median latency → No egress fees when data moves between clouds 🗣️ "There are a lot of providers selling GPUs out there, but ultimately the GPU is most useful when it's backed by reliable infrastructure… the network fabric is very performant, and we're able to pump a lot of gigabits on a constant basis." Sachin Agarwal, ML Infrastructure & Security Engineering Lead, Roboflow Roboflow has run on Crusoe Managed Kubernetes with NVIDIA Quantum InfiniBand since day one. That freed their team from maintaining GPU clusters so they could build their serverless inference platform instead. Read the case study → https://lnkd.in/eYCme2gQ

Thanks to everyone who stopped by our booth at AI Infra Summit in Santa Clara last week! Crusoe leaders were in action throughout the summit, contributing to conversations on some of the biggest issues facing AI infrastructure builders today. A few highlights: 🎤 SVP of Product Management Erwan Menard sat down with Microsoft's Donald Thompson for a conversation on industry leadership strategies 🎤 Alongside leaders from Agility Robotics, Nebius and YCE, Crusoe Director of Technical Product Marketing Michael Yen-Chi Ho joined Women in AI Club's panel “Who’s Cutting the Cost of AI?” to share how our full-stack ownership, from energy to silicon to managed AI services, cuts cost and keeps performance high across the AI model lifecycle, helping customers build strong AI systems 🎤 Chief Data Center Officer Chris Dolan discussed operating data centers with non-utility power in conversation with Dynamix Corporation's Andrejka Bernatova 🎤 Senior Electrical Engineer Sharmila Bokka joined panelists from Google, Lambda and Open Compute Project Foundation for a deep-dive into open collaboration Thanks to everyone who made the week a success. We were truly grateful for the opportunity to share our work with the community and left feeling more inspired than ever to keep building the next generation of cloud infrastructure.

Live Friday, October 2nd @ 12pm PT Models are getting cheaper fast — what does that unlock? Join Michael YenChi Ho and Michael Petersen from Crusoe for our weekly AI trends breakdown. On this week's agenda: The race to cheaper models: Why do inference costs keep falling? Upcoming AI conferences: Which ones are we attending next? Reinforcement Learning's big moment: Why is RL suddenly everywhere in frontier model training? Drop your questions in the chat — we take them live. Fine-tune open models on your own data: https://crusoe.ai

We’ll be in San Jose Oct 20-21 for PyTorch Conference North America 2026. Find us at our booth to: ➡️ Take the Prompt and Collect challenge ➡️ Demo Crusoe Managed Inference and AI Cloud Platform with our team Plus, catch Crusoe speakers throughout the conference: 📅 Oct 20, 11:45 AM: Suman Debnath and Janaki Ram Goteti teach an introduction to GPU programming with Triton 📅 Oct 20, 12:45 PM: Suman Debnath and Jiale Huang lead “Fitting Large MoE Fine-Tuning onto Few Nodes: Expert & Context Parallelism in DeepSpeed” 📅 Oct 20, 6:30 PM: join us, dstack and SGLang (LMSYS Org) for AI Infra Night, an official Open Source week event. We’ll bring together AI experts, ML engineers, AI researchers, and AI infra enthusiasts for drinks, food, and plenty of time to talk shop 📅 Oct 21, 10:15 AM: Yiwei Song delivers a keynote, “AI Model Customization Platform” Register for AI Infra Night: 🔗 https://luma.com/6j69xyal

We're in Las Vegas for Yotta 2026, the must-attend event for digital infrastructure leaders. Crusoe is leading conversations at the event. Here's a look at what we're up to: 📅 Yesterday: Our Chief Data Center Officer, Chris Dolan, joined leaders from Generate, Foresight and HDR for "Working through the Ripple Effect of Cancellations and Delays," a session examining the cascading effects of project disruptions. 📅 Today at 4pm PT: Our Sr. Director of Engineering, Jason Hutzler Hutzler, joins "Islanded, Grid-Connected or Inject-and-Withdraw?" alongside the CEO of our partners ON.energy and panelists from Latitude Media, CyrusOne and PDM - Power and Data Management to explore different paths to powering large-scale AI infrastructure. 📅 Tomorrow at 9:35am PT: Crusoe Co-Founder and CEO Chase Lochmiller Lochmiller takes the main stage with Yotta's Matthew Stansberry to share what Crusoe has learned from building at gigawatt scale and what it tells us about where AI infrastructure goes next. You won't want to miss these conversations. We're excited to see you in Vegas!

24 hours. 350 builders, product developers, and engineers. What can you build in a single day? Today, on Day Zero of The AI Conference, Crusoe is sponsoring an all-day hackathon in SF. The challenge behind Hack Day is simple: take an idea from zero to a working product in just one day. The winning team will take the conference's main stage tomorrow to pitch a panel of top venture capitalists. We’ll be here all day. Come meet the Crusoe for Developers team and let’s build. Space is limited. Register: 🔗 https://lnkd.in/ga6Ei9TQ

Crusoe was founded on a simple idea: bring compute where energy already exists, not the other way around. Today, large swaths of wind and solar generation are curtailed �� deliberately throttled back — because it's produced far from demand. Our approach solves that: co-locating AI infrastructure directly at generation sites turns stranded power into productive capacity, and gives developers a commercial reason to repower and expand. We call it "across the meter": AI factories that draw power when they need it, and give surplus back to the grid when they don't — an asset to grid reliability, not a burden on it. More on our energy-first approach: 🔗 https://lnkd.in/gX4gYgpZ

Our co-founder and CEO Chase Lochmiller sat down with The Atlantic's Charlie Warzel to talk about how, and why, Crusoe is building AI infrastructure differently. A few things he shared: the water usage narrative doesn't hold up. At our Stargate campus in Abilene, Texas, each building uses about as much water as 10 single-family homes since GPU cooling runs in a closed loop. On the economic side, Crusoe will contribute more than a third of combined city and county tax revenue in Abilene, and in Armstrong County, one of only three Texas counties with zero oil and gas revenue, our investment is more than doubling tax receipts while catalyzing new wind, solar, and battery capacity. Chase also previewed our next move: smaller, modular data centers that ship on a flatbed truck and deploy wherever power already exists, cutting years off timelines and easing construction impact on host communities. Watch the full conversation: 🔗 https://lnkd.in/e2n_txpZ

Spotted on the 101 in the Bay Area 👀