
Edge AI accelerator firm MemryX has partnered with machine learning development platform Edge Impulse to build and deploy efficient AI models on MemryX’s AI chips.
MemryX says the partnership will strengthen the scalability and flexibility of its chips, allowing AI developers to push models further,
The company’s edge AI chips are used in applications across a range of industries, from robotics and automation to IoT and edge computing. Their high performance, thanks to MemryX’s at-memory compute and dataflow architecture, allows for processing of heavy workloads.
Customers will now be able to use the Edge Impulse machine learning platform to train AI models specifically for MemryX’s processors and accelerators.
Zach Shelby, co-founder and CEO of Edge Impulse, said: “This new partnership opens up exciting new possibilities for all AI developers.”
MemryX’s products are currently compatible with multiple AI software frameworks, including TensorFlow, PyTorch, ONNX, and Keras. The chips also work with popular processor architectures, such as x86, Arm, and RISC-V.
“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,” Shelby said.
MemryX says that its accelerators can be used together to scale AI performance to any desired level while using the same software stack.
Apparently hundreds of AI models, including some from Edge Impulse, have been verified on the company’s products. These are now being sampled with production planned for the end of 2023.
MemryX was founded as a joint venture in 2019 with Dr. Wei Lu from the University of Michigan’s electrical engineering and computer science faculty as a co-founder. Wei has more than ten years of experience working with memory computing architecture.
In January, Edge Impulse joined forces with BrainChip, allowing users to leverage the Edge Impulse platform to develop edge applications for BrainChip’s Akida processor chip.

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