Thinking Machines Lab

Thinking Machines Labs intends to build an AI infrastructure layer between model developers and raw GPUs. Tinker, its first product, is a developer platform meant to make training and adapting large models easier and more efficient. It manages distributed training behind the scenes by optimizing scheduling, synchronization, and recovery so GPUs stay active rather than idle and resources are shared across runs. By abstracting these low-level systems, Tinker minimizes duplicated compute in order to make experiments reproducible, allowing researchers to fine-tune instead of retrain from scratch, resulting in higher utilization, lower energy use, and faster iteration at lower cost.