Eta Compute Announces Production Silicon of the Energy-Efficient Edge AI Processor

March 16, 2020 Perry Cohen

Eta Compute announced it has made the first shipment of production silicon for its ECM3532, an AI multicore processor for embedded sensor applications. Device features the company's patented Continuous Voltage Frequency Scaling (CVFS) and delivers power consumption of microwatts sensing applications.

The ECM3532 is a Neural Sensor Processor (NSP) for always-on image and sensor applications.

Eta’s AI platform includes a multicore processor with flash memory, SRAM, I/O, peripherals, and a machine learning software development platform. The CVFS increases performance and efficiency for edge devices, according to the company. The ECM3532 multicore NSP combines an MCU and a DSP, both with CVFS, to optimize execution for the best efficiency making it an ideal solution for IoT sensor nodes.

Key Features: 

·           5 x 5 mm 81 ball BGA

·           As low as 100μW active power consumption in always-on applications

·           Arm Cortex-M3 processor with 256KB SRAM, 512KB Flash

·           16b Dual MAC DSP with 96KB dedicated SRAM for ML acceleration

·           Neural Development SDK with TensorFlow interface for seamless model integration into

For more information, visit

About the Author

Perry Cohen

Perry Cohen, associate editor for Embedded Computing Design, is responsible for web content editing and creation in addition to podcast production. He also assists with the publication’s social media efforts which include strategic posting, follower engagement, and social media analysis. Before joining the ECD editorial team, Perry has been published on both local and national news platforms including (Phoenix), (Phoenix),, Cronkite News, and MLB/MiLB among others. Perry received a BA in Journalism from the Walter Cronkite School of Journalism and Mass Communications at Arizona State university. He can be reached by email at <a href=""></a>. Follow Perry’s work and ECD content on his twitter account @pcohen21.

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