Anthropic has released an IPO roadshow video, which includes details on their approach to compute. Notably, they train and serve Claude on four major chip families: AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs. This is due to their early adoption of a multi-chip strategy, which allows them to tailor software and inference stacks for each chip. This approach has enabled them to quickly integrate new chip platforms, such as AMD GPUs, with minimal human intervention. Additionally, Anthropic focuses on discovering compute multipliers to increase their total effective compute capacity. These multipliers can reduce the required compute units, allowing them to train more intelligent models or achieve the same results with less compute. The company believes this strategy can accelerate further with recursive self-improvement, enabling Claude to discover compute multipliers independently and fueling exponential growth in their compute advantage.