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Ultra-Energy Efficient Edge AI Processor Ships

Eta Compute has announced the first shipment of production silicon for its ECM3532. The company claims it as the world’s first AI multicore processor for embedded sensor applications. This multicore device features the company’s patented Continuous Voltage Frequency Scaling (CVFS) and delivers power consumption of microwatts for many sensing applications.

The ECM3532 is a Neural Sensor Processor (NSP) for always-on image and sensor applications. ECM3532 family brings AI to edge devices and transforms sensor data into actionable information for voice, activity, gesture, sound, image, temperature, pressure and bio-metrics applications, among others, according to Eta Compute. The platform is designed to solve issues for the most important issues in edge computing: lower response time, increased security and higher accuracy.

The ECM3532 AI platform includes a multicore processor, that includes flash memory, SRAM, I/O, peripherals and a machine learning software development platform. The patented CVFS substantially increases performance and efficiency for edge devices. The self-timed CVFS architecture allows to automatically and continuously adjusts internal clock rate and supply voltage to maximize energy efficiency for the given workload. The ECM3532 multicore NSP combines an MCU and a DSP, both with CVFS, to optimize execution for the best efficiency making it well suited for IoT sensor nodes.

Key Features: 

  • 5mm x 5mm 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 the ECM3532

Eta Compute | www.etacompute.com


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