25,000 H100s now available for on-demand! - instant startup - high availability - enterprise-grade reliability read why we are going to become the leading on-demand cloud

GPU shortage is worse than ever. H100s cost more today than they did 3 years ago, and you cannot get them on-demand. The big AI labs have locked up most of the supply for years. I’m worried university researchers and individual developers simply won’t be able to get GPUs.

It's 2 AM and you need 8 H100s for a sweep. @awscloud: quota check → capacity check → maybe a 3-10 day wait. @ionet scheduler match in 28 seconds. Training running in under 4 minutes. No quota tickets or waiting on someone else's reservation. Just live bids, matched instantly, so you can keep building

Really interesting to see the price to rent H100s flatten out, and in the case of 1yr contracts, even start to tick back up. Lines up well with the inflection in usage we've seen for AI models over the past quarter. Data from @SemiAnalysis_

We trained a ~frontier Deep Research Agent on academic budget > 32 H100s > 8K synthetic samples > fully open training infra + recipe (SFT, mid-training, RL) > models of diff sizes (2B -> 35B) ready to use out of the box This is yet another demonstration of how the frontier of AI is changing. We have reached a point where open models + a small capable team + a few hundred Ks can produce specialized models with ~frontier capabilities. The future of AI doesn’t have to be held in a chokehold by a handful of closed models. We've open-sourced everything we've built and learned from this project. Hope it helps the community build more! 📌 Project: 📌 Paper: 📌 Code: 📌 Model Weights and Data: 📌 Demo: Amazing effort led by @jianxie_ (our 1st year student!!), Tianhe Lin, Zilu Wang. joint with @hhsun1 and the @osunlp team. thanks @amazon Xiangjun Wang for a gift that covers the compute and fruitful discussion.

for september, we’re cutting the price of Dedicated Inference on H100s from $5.49/hr to $3.99/hr new + existing deployments get the lower price automatically deploy gemma 4, qwen3/3.5, gpt-oss, llama, nemotron 3.5 lightning models, or bring your own lora for a fine-tuned model try it today:

🚨 Scale AI's billionaire CEO Alexandr Wang claims DeepSeek secretly has around 50,000 Nvidia H100s. The banned chips, that they "can't talk about" due to US export controls. Absolutely insane.