Today we are releasing Laguna S 2.1.
At 118B total parameters, with 8B active per token, it does the work of models several times its size on agentic coding. It is remarkably persistent across long-horizon tasks. And it is small enough to run on a single NVIDIA DGX Spark.
It is far more capable than anything we have created before, and I think it redefines what a model in its weight class can do.
Laguna S 2.1 is an important model for Poolside. What it represents is even more important.
If, five years ago, I had read a book that said that by 2030 everything economically valuable, scientifically interesting, and personally meaningful would be built on intelligence contracted from three or four companies, I would have called it dystopian science fiction.
We are at a fork in the road of what kind of world we can have.
I believe intelligence should and will become a commodity. The question is whether that intelligence comes from three companies, or from many people who can build it, own it, and shape it.
The open ecosystem will not win by being the best in its own category. No one cares who is king of the open-source kingdom. People want the best intelligence for the task they are trying to do, with the right balance of quality, speed, cost, and control.
If we want a different future, open models have to be on par with, or better than, their closed equivalents.
Laguna S 2.1 is a meaningful step in that direction: capable enough to compete far above its weight class, efficient enough to run on hardware you can own, and open-weight so anyone can build on it.
Open-weighting our models is the contribution we can make today toward a world where intelligence can be built and owned by many. And we will keep doing it.
I am very proud of this team’s work. A big shout out to everyone at Poolside who made this possible, from infrastructure and data to architecture, pretraining, post-training, evaluations, and inference.
Laguna S 2.1 is available today under the OpenMDW-1.1 license, with weights on Hugging Face and access through OpenRouter and our API.
We are building toward a future where the most capable intelligence in the world can be owned and shaped by anyone. Laguna S 2.1 is one step. We are going to keep building until that future exists.
https://t.co/eTV7iNATrB
Poolside is hosting a 2-day model research hackathon in London.
Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab.
Dates: May 29–30
Partners: @nvidia + @PrimeIntellect + @huggingface
Prize: NVIDIA DGX Spark
Agents need better models.
Better models need cracked researchers.
Link below.
Excited to finally share what we've been building!
XS.2 is open-weight, M.1 is our most capable model so far. Can't wait to hear what you think! 💬
Growing the team too – reach out if you're interested 💜
Today we’re releasing Laguna XS.2, Poolside’s first open-weight model.
It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks.
Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0.
Links 👇
Weights: https://t.co/HSo8L2gM64
API: https://t.co/DMJtNFrace
Blog: https://t.co/BXEjQxtQoV
We believe that to compete at the frontier, you have to own the full stack: from dirt to intelligence.
Today we’re announcing two major unlocks for our mission to AGI:
1. We're partnering with @CoreWeave and have 40,000+ NVIDIA GB300s secured. First capacity comes online starting Dec ’25.
2. Project Horizon: Poolside is developing a vertically integrated 2GW AI campus in West Texas to secure our medium term scale. On this site @CoreWeave will be our anchor tenant for the first 250MW phase.
Learn more about it on our blog: https://t.co/lJlRJyhXCw
Or on WSJ: https://t.co/bUz6E6Ij1y