Build with our open-weight agentic coding models, Laguna xs.2 and Laguna m.1 today.
We're building foundation open-weight models and the systems that refine and improve them.
We work in the open. A closer look at the research, the engineering, and the ideas behind our models.
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The Model Factory series
A six-part blog series on how we train, evaluate, and iterate on foundation models. From GPU-to-GPU weight transfers and automated architecture ablations to reinforcement learning from code execution at scale. Through the looking glass of benchmark hacking
Outlining some of the reward hacks we’ve encountered and what strategies we are exploring to resolve them.Laguna XS.2 and M.1: A Deeper Dive
We've released the first two models in the Laguna family, Laguna M.1 and Laguna XS.2, alongside the runtime we use to train and operate agents, available through two product experiences in research preview.Tools of the Trade: C2C Activation Offloading on Grace Blackwell
We demonstrate the potential of NVIDIA's NVLink C2C on Grace-based superchips as a high-performance alternative to selective activation checkpointing. By offloading MLP activations to host memory during training, we achieve a 6–13% throughput improvement over selective AC with negligible memory overhead.