Efficient computing is critical for sustainable AI development, enabling responsible innovation at scale. Our approach optimizes energy use and resource allocation, keeping costs under control while pushing the boundaries of performance.

We aim to embed sustainable innovation into the very fabric of our technology. By maintaining control over our entire AI infrastructure stack, we’ve created a highly efficient, self-reinforcing system where solutions at every layer — hardware, data center designs, and AI workload management tools — work together to ensure maximized efficiency and reliable performance.

Designed in-house, our servers feature class-leading thermal efficiency, enabling resource-efficient cooling, cutting energy use and extending equipment lifespan, while our AI-optimized cloud platform minimizes idle compute for lower costs and a reduced carbon footprint.