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MemryX has been recognized by Semiconductor Review Magazine as “Top FPGA Companies - 2023” based on our proprietary methodology, reflecting its position in the industry. This profile has been developed by the Semiconductor Review research and editorial team based on insights from an interview with Keith Kressin, President and CEO.
Keith Kressin, President and CEOMemryX, a fabless semiconductor company, aims to solve these challenges. Its Edge AI processing solutions powered by proprietary compute-at-memory technology and dataflow architecture set the bar in the industry. By combining high performance and accuracy with low system power, their solutions are fulfilling Edge AI needs for a number of industries, including transportation, IoT, and a wide range of industrial and consumer applications.
"Our innovative Edge AI solutions enable a single-click compilation and performance optimization of trained AI models, bringing superior performance, lower latency, and faster time compared to other solutions in the market." says Keith Kressin, President and CEO at MemryX.
MemryX was started with a vision to create a technology that can scale and quickly ramp customers with dedicated AI accelerators across a diverse embedded market. In 2019, at University of Michigan, the grand idea was materialized by Dr. Wei Lu, a professor of electrical engineering, with the support of his team.
The team jointly created a forward-looking core architecture from the ground up for robust software and hardware Edge AI solutions. With a focus on data-flow-centric AI that minimized the movement of data across memories, they created scalable solutions with customer-friendly features, that attach to any application processor along with the flexibility to configure future design requirements.
MemryX's solution is beneficial for customers currently relying on CPUs or GPUs for AI processing. For example, one customer was dealing with poor speed and high latency of several AI models while running them on a CPU in a metaverse application. MemryX accelerated the data processing capability by migrating AI to the MemryX processor, reducing latency from 300 milliseconds to 30 milliseconds. In another instance, a customer was bearing the huge expense of large-scale power consumption of 250 Watts on a GPU for Edge AI computing. By migrating the AI models to MemryX, they achieved superior performance as well as lowering power consumption to just 10 Watts.
MemryX's team designed a highly efficient and scalable solution that is simple to deploy and support. The MemryX SDK allows developers to quickly develop systems and applications that optimally utilize MemryX AI accelerator chip(s). They are scalable to integrate with future-generation AI models, hardware, host processor, or operating system while eliminating all the bottlenecks of data movement. In addition, it supports a wide variety of different machine-learning models, or neural models, making it a highly programmable chip. The robust technology is available for high-performance AI devices, including automotive, robotics, drones, smart manufacturing, IoT, metaverse, edge computing, and smart vision system..
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Our innovative Edge AI solutions enable a single-click compilation and performance optimization of trained AI models, bringing superior performance, lower latency, and faster time compared to other solutions in the market
"In 2022 we have achieved broad customer sampling with positive feedback. After testing our solutions, customer have validated our assertions of ease-of-use with a powerful, yet power efficient solution that meets the needs of computer vision AI applications," says Kressin.
With company locations in the U.S., Taiwan, and India, MemryX is currently sampling the pilot silicon (MX3) and plans to enter production with an enhanced MX3 in 2023.
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Company
MemryX
Management
Keith Kressin, President and CEO
Description
MemryX, an AI chip start-up, founded by Dr. Wei Lu, the Professor of Electrical Engineering, at the University of Michigan with his team in 2019 focuses on innovative Edge AI solutions. Together the MemryX MX3 Edge AI Accelerator and MemryX SDK, enable single-click compilation and performance optimization of trained AI models bringing superior performance and lower latency.
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MemryX News
MemryX Inc. and Edge Impulse Announce Partnership to Effortlessly Develop and Deploy AI on MemryX Edge AI Processors
MemryX to Showcase Edge AI Solutions at GSX 2024
ANN ARBOR - MemryX, a leading provider of AI accelerators for the Edge, will be showcasing innovative new solutions at GSX 2024, the premier security industry event taking place in Orlando, Florida from September 23-25.
MemryX will be publicly demonstrating several capabilities of the industry leading MX3 Edge AI Accelerator. One demo will showcase AI based object detection for 81 separate and simultaneous video streams, each operating at 30 frames per second (fps). Another demo will be an AI powered video management system (VMS) courtesy of Network Optix, offering enhanced security and improved operational efficiency.
"We're thrilled to join MemryX for a joint demo at this year's GSX Conference," said James Cox, Vice President of Business Development at Network Optix. "The demo showcases how the Nx Enterprise Video Operating System (Nx EVOS), and Nx AI Manager, enables users to effortlessly build and deploy video AI solutions at enterprise scale using edge devices powered by MemryX AI accelerators."
Additional partner solutions being showcased include Dynics, J-Squared, and Unigen. "Dynics computers, known for their robust performance and reliability in industrial environments, are now enhanced with MemryX technology.," said Ed Gatt, CEO of Dynics, Inc. "This integration brings advanced AI capabilities to the forefront, enabling real-time data processing and machine learning applications directly at the edge. With MemryX, Dynics systems can handle complex tasks more efficiently, providing faster insights and improved operational efficiency. This powerful combination is set to revolutionize industrial automation and smart manufacturing.''
Demonstrations at GSX 2024 will provide a valuable opportunity for attendees to see the transformative potential of Edge AI acceleration for security applications. Until now, these solutions have often used graphics processing units (GPUs). In contrast, a single MemryX Edge AI accelerator module is far more efficient, offering a 10x power reduction for fanless operation along with higher performance and lower system costs.
Attendees of GSX 2024 are encouraged to visit MemryX's booth (#2444) to learn more about the company's AI accelerators and the opportunity to revolutionize Edge AI deployments. To learn more about MemryX's solutions and its participation in GSX 2024, please visit the MemryX website at memryx.com or the GSX website at gsx.org. Partner information is available from Network Optics (networkoptics.com) and Dynics, Inc (dynics.com).
MemryX will be publicly demonstrating several capabilities of the industry leading MX3 Edge AI Accelerator. One demo will showcase AI based object detection for 81 separate and simultaneous video streams, each operating at 30 frames per second (fps). Another demo will be an AI powered video management system (VMS) courtesy of Network Optix, offering enhanced security and improved operational efficiency.
"We're thrilled to join MemryX for a joint demo at this year's GSX Conference," said James Cox, Vice President of Business Development at Network Optix. "The demo showcases how the Nx Enterprise Video Operating System (Nx EVOS), and Nx AI Manager, enables users to effortlessly build and deploy video AI solutions at enterprise scale using edge devices powered by MemryX AI accelerators."
Additional partner solutions being showcased include Dynics, J-Squared, and Unigen. "Dynics computers, known for their robust performance and reliability in industrial environments, are now enhanced with MemryX technology.," said Ed Gatt, CEO of Dynics, Inc. "This integration brings advanced AI capabilities to the forefront, enabling real-time data processing and machine learning applications directly at the edge. With MemryX, Dynics systems can handle complex tasks more efficiently, providing faster insights and improved operational efficiency. This powerful combination is set to revolutionize industrial automation and smart manufacturing.''
Demonstrations at GSX 2024 will provide a valuable opportunity for attendees to see the transformative potential of Edge AI acceleration for security applications. Until now, these solutions have often used graphics processing units (GPUs). In contrast, a single MemryX Edge AI accelerator module is far more efficient, offering a 10x power reduction for fanless operation along with higher performance and lower system costs.
Attendees of GSX 2024 are encouraged to visit MemryX's booth (#2444) to learn more about the company's AI accelerators and the opportunity to revolutionize Edge AI deployments. To learn more about MemryX's solutions and its participation in GSX 2024, please visit the MemryX website at memryx.com or the GSX website at gsx.org. Partner information is available from Network Optics (networkoptics.com) and Dynics, Inc (dynics.com).
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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 leading 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.