The adaptation of compute platforms is essential for running capable models in low power environments, such as smartphones and autonomous vehicles, as well as in large-scale data centers.

Moving forward, our products will perform more advanced tasks autonomously, benefiting users beyond just mechanical solutions.

Our vision is that every moving machine will be intelligent, with self-driving being just one small part of that intelligence.

The future of computing will involve running incredibly large neural networks with high performance and low power consumption, requiring different solutions for training and inference workloads.

As AI models become more intelligent, they will be able to handle longer-running tasks, making certain MCP primitives more relevant.

The future of machines in defense will involve one operator managing multiple machines, enhancing efficiency and effectiveness.

The future of machines in defense will involve one operator managing multiple machines, enhancing efficiency and effectiveness.

Our goal is to enable models to work autonomously for longer periods, which will require advancements in memory, tool use, and organizational onboarding.

The future of computing will involve asynchronous workloads where AI systems perform extensive research before returning results, necessitating robust infrastructure to handle increased loads.