Coming Soon...

gpus.new

h100.gpus.new h200.gpus.new b200.gpus.new

Today we're launching Reserved Instances - Request 8–1,000+ GPU clusters - Get quotes from up to 50+ providers in 24h - Re-sell idle GPUs back to our spot market - Support from our research team

Another week, another hundred environments. From autonomous AI research, MCP integrations, and browser automation to domain specific environments for economically valuable tasks across law, finance, and tax.

binary searched a 512xh100 cluster (european cloud provider) to find the node killing our all-reduce. narrowed 64 nodes down to one bad node. bandwidth jumped from 50GB/s back to 157GB/s after the swap... time to automate this

With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning. wired.com/story/prime-in…

Introducing RND1, the most powerful base diffusion language model (DLM) to date. RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture. We are making it open source, releasing weights, training details, and code to

Introducing mike64_t's work on "Recurrence-Complete Frame-based Action Models" A paper on why long-horizon perception requires rethinking recurrence.

one gpu out of 512 h200s thermal throttling tanked our training mfu - nvidia dcgm dashboard on grafana for the win

we're building out automations for the environmentshub - basic environment testing is live on every push, hosted evaluations and custom script execution coming next

Our Inference API is live. Use it to evaluate environments on the Hub. + Simple `prime env eval` cmd + One endpoint for all models + 56 models and growing + Unified billing with compute + Viewer for rewards and rollouts + Share results on Hub

We're scaling our Open-Source Environments Program As part of this, we're committing hundreds of thousands of $ in bounties and looking for partners who want to join our mission to accelerate open superintelligence Join us in building the global hub for environments and evals

nanochat runs for less than $80 on prime. the training setup is honestly worth trying just for the learning experience and works out of the box - might add support for our multi-node clusters next

Update: After an incredible year at Prime Intellect, I have decided to take my next step in August. Grateful that I got to work with such a talented team and build the best open-source RL infra! For now, I'm continuing to work on RL for coding agents. Will share updates :)