BrainChip, the first commercial producer of low power neuromorphic AI chips, and SiFive, a RISC-V hardware producer, have combined their technologies to bring optimised AI/ML compute to the edge.
BrainChip’s Akida is an advanced neural networking processor architecture that brings AI to the edge. It is specialised to learn like the human brain, a niche that has helped the company’s growth.
As it analyses only essential sensor inputs at the point of acquisition, it can process data with industry-leading efficiency and precision. It also keeps AI and ML local to the chip to reduce latency and improve data security.
SiFive’s hardware uses a highly configurable multi-core and multi-cluster capable design to accelerate AI and machine learning applications.
By combining BrainChip’s Akida technology with SiFive’s RISC-V processors, the two companies hope to provide a highly efficient solution for integrated edge AI compute.
Chris Jones, vice president of products at SiFive, said: “Employing Akida, BrainChip’s specialised, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimised processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing.”
Jerome Nadel, BrainChip CMO, said: “We are pleased to partner with SiFive and have the opportunity to have our Akida technology integrated with their market-leading product offerings, creating an efficient combination for edge compute.
“As we expand our ecosystem of portfolio partners, we want to be sure that these relationships are built on complementary technologies, enabling capabilities, and breadth of environments so that we can expand opportunities to as many potential customers as possible. Driving our technology into a SiFive-based subsystem is exactly the type of partnership that meets these goals.”
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