Today, we're announcing a multi-year partnership with @Google to power the next generation of self-accelerating AI! Mirendil will scale its training, inference, and AI research workloads on @googlecloud 's AI Hypercomputer — drawing on both TPUs and full-stack NVIDIA AI Infra.

Last week, we celebrated @mirendil's launch alongside some of the researchers, engineers, and friends who helped us get here. It was energizing to bring together so many people who share our belief that science can, and should, move faster. Democratizing frontier AI is the most direct path to realizing that potential.

At ICML and curious about @mirendil? We have been heads-down building, but from the Mirendil team, my amazing PhD advisor Nati Srebro is there — and he's a great person to chat with about our mission. Interested? Fill out this form:

We're at a breakthrough moment in AI. The most direct path to its promise is AI that accelerates its own research, and @mirendil is building exactly that. A frontier lab rebuilt from scratch around AI R&D. This team has made mind blowing progress in the short few months they’ve been working together using their own systems. @bneyshabur, @HarshMeh1a @shayan_, @tararezaeikh and the Mirendil team have a rare mix of research depth, scale experience, and the instinct to ship. Expect(ing) big things. We’re proud to have been there from day one.

Mirendil Co-Founder and CEO Behnam Neyshabur explains the path to self-accelerating AI: " When you think about what does a scientist or an engineer do, the main skill they have is get very deep in a domain... and build a very sharp expertise that accumulates over time." "As you kind of become expert in a domain, your expertise is becoming sharper and sharper in something that has a tiny bit of volume in the whole set of all possible things you could be working on." "And getting to that point, being able to get there is a capability that is needed to advance all areas of science." "What that view means is that you have to work on what does it take to direct a system toward like a particular angle and make fast improvement, and that's the self-accelerating AI technology." @bneyshabur @mirendil

We're thrilled to lead Mirendil's $200M seed round. Frontier AI work has been locked inside a few big labs. @mirendil is building a system that can help anyone do AI work: they train frontier models that are expert at AI R&D and build the product around it. The result is a system that loops over research and engineering problems on its own, making progress without human intervention. It's like a coding agent built for AI research that controls its own GPUs. Mirendil is one of the few teams with the experience and the priors to make the end-to-end system work. @bneyshabur, @HarshMeh1a, @shayan_, and @tararezaeikh come out of Anthropic, Google DeepMind, and xAI. Welcome to the a16z family, Mirendil. By @BornsteinMatt and @MaikaThoughts

We are proud to formally announce Mirendil. Our mission is to accelerate science and technology through democratizing frontier AI R&D. We’re a small team with a singular focus. Our founding team consists of 20 researchers and engineers from frontier institutions including Anthropic, xAI, Google DeepMind, and OpenAI, united by a passion for science and a drive to build the technologies that move it faster. If you want to build the system that builds systems, join us! We’re fortunate to work with @a16z and @kleinerperkins, who led our seed round of $200M, followed by a major investment from NVIDIA, among others.