Great Sky Launches Brain-Inspired Superconducting AI Computing Architecture with $14 Million Funding
Great Sky has unveiled a new superconducting optoelectronic computing architecture for AI, backed by a $14 million seed funding round led by Bison Ventures. The technology aims to address limitations of current AI infrastructure reliant on GPUs. Key features include superconducting computation, high-bandwidth optical communication, and a design inspired by biological neural networks, allowing for high-throughput, low-latency applications such as real-time video analysis. The company's advancements stem from over a decade of research at the National Institute of Standards and Technology (NIST).
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Great Sky has announced the launch of its superconducting optoelectronic computing architecture for artificial intelligence, supported by a $14 million seed funding round led by Bison Ventures. This technology intends to overcome the limitations of existing AI infrastructures that largely depend on GPUs.
It integrates superconducting circuits and optical communication, enabling systems to function more like biological neural networks. The architecture is capable of processing over 60 million video frames per second, significantly outperforming traditional models. The development is rooted in 12 years of research at the National Institute of Standards and Technology (NIST), with plans to create large-scale AI systems utilizing advanced fiber-optic connections.
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