MemryX and Edge Impulse announce partnership to effortlessly develop and deploy AI on MemryX Edge AI processors

MemryX a pioneering startup focused on accelerating artificial intelligence (AI) processing for edge devices, announced it has formed a partnership with Edge Impulse, the AI-algorithm software provider, to streamline the 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 Edge Impulse’s platform to develop, test, and seamlessly deploy models and algorithms on MemryX edge AI processors.

The partnership cements MemryX’s leadership position in scalability, ease of implementation, compatibility, and flexibility. 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. One or more MemryX AI Accelerators can be used in parallel to scale AI performance to any desired level, all using the exact same software stack. Hundreds of AI models, including those from Edge Impulse, have been verified on MemryX silicon which is sampling now to numerous customers with production planned Q4’23.

“This new partnership opens up exciting new possibilities for all AI developers,” said Zach Shelby, co-founder and CEO of Edge Impulse. “Combining Edge Impulse’s abilities in data collection and low-profile algorithm generation and deployment with MemryX’s advanced hardware provides for fascinating potential with a wide range of use cases.”

Co-founded in 2019 by Dr. Wei Lu, MemryX is working to develop a AI accelerator for edge devices. Dr. Lu, an Electrical Engineering and Computer Science professor at the University of Michigan, worked over 10 years on memory centric computing architectures, and spent nearly three years at MemryX developing and proving the company’s unique approach. His expertise in memory systems and neuromorphic computing is internationally recognized.