Xscape has created a platform that connects various computing elements in a sustainable way, while offering the highest possible performance. The core of this platform's scaling relies on energy-efficient, cost-effective systems that do not exist in the industry yet.
Traditional interconnects consist of metal wires that transmit data in the form of electrical signals, which require a lot of power and generate lots of heat. They're bandwidth-constrained by their medium's conductivity.
A 2022 survey found that AI developers typically struggle to use more than 25% of a GPU's capacity. This limitation highlights the necessity for improved interconnects to enhance AI training performance.
Silicon photonics like Xscape's draw minimal power and produce negligible heat, providing a significant advantage over traditional interconnects and aiming to transmit terabytes of data over light efficiently.
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