Getting to 1000x energy efficiency in AI isn’t about one breakthrough.
It’s about solving two hard constraints:
1. Data movement dominates energy
2. Amdahl’s Law caps system-level gains
Which means you have to rethink everything: models, hardware, and how they’re designed together.
If this kind of problem excites you, you’ll enjoy our latest blog: