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Fabric Cryptography Secures US$33 Million for Security Chips

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August 19, 2024

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The innovative company, co-founded by MIT and Stanford dropouts Michael Gao and Tina Ju, is on the brink of unveiling its groundbreaking Verifiable Processing Unit (VPU) later in 2024. The Series A funding round, aimed at fueling the development of Fabric's next-generation VPU chips and expanding its software and cryptography teams, has garnered significant attention in the tech industry.

The VPU, a programmable chip designed to accelerate cryptography tasks like zero-knowledge proofs and fully homomorphic encryption (FHE), represents a major leap forward in secure data processing. Fabric Cryptography's unique approach to custom silicon chips with cryptography-specific instruction sets promises enhanced efficiency in cryptographic calculations compared to traditional processors.

With the recent co-leadership of the funding round by Blockchain Capital and 1kx, alongside contributions from prominent funds like Offchain Labs, Polygon, and Matter Labs, Fabric Cryptography has secured a total of US$39 million in funding. The company's order book, valued at over US$60 million, underscores the strong market demand for its innovative VPU technology.

Fabric Cryptography's VPU is set to enter mass production later this year, marking a significant milestone in the company's mission to advance cryptographic capabilities across hardware and software domains. The VPU's adaptability and performance have garnered praise from industry experts, positioning it as a game-changer in the realm of secure data processing.

As Fabric Cryptography continues to push the boundaries of cryptography technology, its team of over 50 AI hardware and software engineers – hailing from tech giants like Nvidia, Google, Amazon, Groq, and Cerebras – remains at the forefront of innovation. The company's strategic focus on Zero-Knowledge Proofs (ZKPs) and FHE aligns with the evolving landscape of decentralized infrastructure, where advanced cryptography solutions are in high demand.

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