AI hardware to enable intelligence at the boundaries of physics

AI hardware to enable intelligence at the boundaries of physics

AI hardware to enable intelligence at the boundaries of physics

Transformative hardware and architecture that unleashes AI’s full potential

Great Sky is the nexus

Overcoming the greatest challenges facing AI will take a completely different approach. By combining these technologies, we can achieve unprecedented performance.

300x lower cost of ownership over five years for a large language model with 405B parameters

A million times faster in frames per second than vision transformers

5000x lower energy per inference on video comprehension

Today's AI demands more than conventional computing hardware can deliver. The limiting factor is data movement: too slow, too energy-intensive. Great Sky's technology directly combines memory and processing on redesigned chips, using light instead of electricity to rapidly move data. We're developing AI models that will process video orders of magnitude faster than the state of the art, while consuming significantly less energy.

Today's AI demands more than conventional computing hardware can deliver. The limiting factor is data movement: too slow, too energy-intensive. Great Sky's technology directly combines memory and processing on redesigned chips, using light instead of electricity to rapidly move data. We're developing AI models that will process video orders of magnitude faster than the state of the art, while consuming significantly less energy.

Today's AI demands more than conventional computing hardware can deliver. The limiting factor is data movement: too slow, too energy-intensive. Great Sky's technology directly combines memory and processing on redesigned chips, using light instead of electricity to rapidly move data. We're developing AI models that will process video orders of magnitude faster than the state of the art, while consuming significantly less energy.

Superconductors for computation

Superconducting electronic devices such as Josephson junctions have unparalleled speed and energy efficiency, and exhibit ideal properties for computation.

Photonics for communication

The brain can have up to 100,000 synapses per neuron, and reaching that level of connectivity with electronics is infeasible. Photonic communication makes this possible. Using multi-planar photonic waveguides on wafers and fiber coupling in between, we avoid the typical communication bottlenecks experienced by conventional neural networks.

Semiconductors for integration

Silicon bridges the gap between electrons and photons, and is a versatile system for many functions including control logic, amplification, light emission, and more. Transistors play a vital role in our approach

Great Sky

Transformative hardware and architecture that unleashes AI’s full potential

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