MemryX partners with to accelerate deployment of AI algorithms on its advanced AI chips - The EE

MemryX partners with to accelerate deployment of AI algorithms on its advanced AI chips

MemryX Inc., that focused on accelerating artificial intelligence (AI) processing for edge devices, has announced partnership with This will streamline development, testing, and deployment of AI models on MemryX’s advanced AI accelerator chips.

MemryX’s edge AI chips have broad application in the transportation, IoT, robotic, industrial, and edge computing industries. They feature high-performance and low-latency AI processing using a proprietary at-memory computing and dataflow architecture. Developers can now leverage’s software platform to search, compress and automatically deploy artificial intelligence models on MemryX edge AI processors.

The partnership allows AI developers to quickly port models to MemryX advanced AI chips slashing deployment times from weeks to days. Developers can rapidly design, validate and test new AI algorithms on physical hardware while benefiting from MemryX’s architecture that offers low-power, high performance, and low latency.

“ and MemryX’s products are complementary, effortlessly resolving AI engineers’ development and deployment pain points,” notes Keith Kressin, president & CEO of MemryX. “’s optimised and compressed AI models targeted to run on our AI accelerators deliver a cost effective and highly performant solution. We’re thrilled to partner with because they have a proven solution stack, and together, we can enable the next generation of edge AI solutions.”

The tight relationship between’s software stack and MemryX’s hardware opens the door to rapid deployment of advanced AI solutions.’s Driver Management System (Nota DMS), a lightweight off-the-shelf AI-based driver monitoring system that can substantially improve road safety.

Available to vehicle manufacturers, the Nota DMS solution encompasses driver identification, drowsiness detection, distraction detection and unsafe driver behavior detection. NetsPresso’s hardware-aware AI model optimisation and compression platform allow the embedded AI models in Nota DMS to run unmodified and fully optimised on MemryX hardware.

MemryX AI accelerators support all popular AI software frameworks, including PyTorch, ONNX, TensorFlow and Keras; all popular processors, including x86, Arm and RISC-V; and all modern operating systems, such as Linux, Windows, and Android. Hundreds of AI models have been verified on MemryX silicon which is sampling now to numerous customers with production planned Q4’23.

“Our partnership with MemryX allows AI developers to move from development to deployment more quickly,” says Myungsu Chae, CEO of “And enables new features to be quickly integrated into their AI stack. MemryX’s hardware platform delivers the advanced hardware capabilities our customers want, and we expect to see new AI solutions brought to market quickly due to our collaboration.”

Co-founded in 2019 by Wei Lu, MemryX is working to develop an AI accelerator for edge devices. Lu, an electrical engineering and computer science professor at the University of Michigan, worked over ten years on memory centric computing architectures and spent nearly three years at MemryX developing and proving the company’s approach. His expertise in memory systems and neuromorphic computing is internationally recognised.

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