BrainChip Holdings announced that Chelpis Quantum has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security.
Chelpis, a chip firm in Taiwan that leads the Quantum Safe Migration ecosystem, is creating an M.2 card based on the AKD1000 that will be inserted into targeted products to enable their cryptographic security solutions.
The M.2 card is based on a BrainChip design, with an agreement to purchase a large number of AKD1000 chips for qualification and deployment. Chelpis intends to enhance its commitment to the AKD1000 by placing more orders after this phase is completed.
This agreement marks the first stage in a collaboration to build an AI-PQC robotic chip that meets both next-generation security and AI computing standards. This invention is a collaborative effort with Chelpis partner business Mirle (2464.TW) and has been formally submitted for consideration under Taiwan’s chip innovation program.
The financing is intended to foster a novel system-on-chip (SoC) that combines RISC-V, PQC, and NPU technology. This SoC will primarily support manufacturing markets that prioritize a Made-in-USA strategy.
Mirle intends to develop autonomous quadruped robotics that resemble the movement of four-legged animals for industrial/factory settings. Chelpis plans to use BrainChip’s sophisticated Akida™ IP to integrate visual GenAI capabilities into the proposed SoC design.
Leadership Comments
“The ability to add Edge AI security capabilities to our industrial robotics project that provides the low power data processing required is paramount to successfully achieving market validation in the robotics sector,” said Ming Chih, CEO of Chelpis. “We believe that BrainChip’s Akida is just the solution that we further need to bring our SoC to fruition. Their event-based processing and advanced models serve as a strong foundation for developing a platform for manufacturing customers looking to leverage advanced robotics in their facilities.”
“Akida’s ability to efficiently provide cyber-security acceleration with energy efficiency can help secure autonomous robotic devices,” said Sean Hehir, CEO of BrainChip. “Akida’s innovative approach to supporting LLMs and GenAI algorithms could serve as a key contributor to Chelpis as they pursue government funding to develop their SoC and advance their industrial robotic initiatives.”
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