AI from First Principles
The industry has made remarkable progress building models with conventional hardware. But the gap between what's possible in principle and what's realized in practice is wide. Great Sky builds hardware from first principles to close that gap and open a new trajectory for intelligent computing.
Hardware specifically designed for intelligence
Today's chips were developed for mathematical calculations, not intelligence. When pressed into AI, they consume energy orders of magnitude beyond that required by biological intelligence. We take another path, grounded in physics rather than legacy architecture. Our systems compute with superconductors and communicate with light, approaching physical limits of intelligence. These neural networks can process text, audio, and video a million times faster than human perception with the power consumption of a single data-center rack. We spun out of 12 years of NIST research, and our first chips are now running inference.
What's possible?
As we scale, these are the areas that will be transformed.
Universal Assistants
One system simultaneously interacting with a million people through sight and sound
Fusion Energy
Integrating many sensor streams and predicting plasma instabilities every microsecond to make fusion viable
Biology and Medicine
Molecular simulations at speeds that enable individualized medicine
Physical Modeling
Complex dynamical simulations that remove the compute bottleneck limiting discovery
National Security
Signal processing and video intelligence at the speed of real-world events
Personal AI
Neural networks with weights that adapt based on your interactions