Scaling Impact: 2025-26 Corporate Responsibility Report
As AI infrastructure expands, the resulting demand for power and water makes computing efficiency essential to reduce the environmental footprint of technology.
- Reported a 38x energy efficiency improvement for AI training and HPC nodes between 2020 and 2025.
- Set a target to improve rack-level AI energy efficiency 20x from 2024 to 2030 using the AMD Helios system.
- Increased renewable electricity usage to 58% in 2025, contributing to a 30% operational GHG emissions reduction.
- Pledged $150 million to expand AI education programs across the United States.