Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. Chip design is a natural fit for agentic reinforcement learning: long-horizon work, specialized tools, expensive mistakes, hard constraints, and objective feedback from simulation, verification, timing, power, and area.