Electronic Engineering Journal
That was the tall order facing Eta Compute. One of many, in fact. The small startup took on all sorts of self-imposed burdens. It invented a new MCU for AI inferencing. It invented a new low-power circuit design methodology it called DIAL (delay-insensitive asynchronous logic). It developed the chip’s compiler from scratch. Then it reinvented DIAL to create CVFS (continuous voltage and frequency scaling), which it then used to create an entirely new second-generation chip, the ECM3532. Then it had to redo the compiler for the new chip. And, when all of that was done, it had to go beat the bushes looking for customers who wanted an ultra-low-power MCU for “ML at the edge” from a new company nobody had ever heard of.
The company’s secret sauce is in a proprietary voltage and frequency scaling technique achieved without a phase locked loop (PLL), combined with Arm Cortex-M3 and NXP CoolFlux DSP cores which both operate voltage and frequency scaling independently.
The impact on the semiconductor industry is profound and it is nowhere more visible than on low-power, low-cost processors, micro-controllers, and DSP.
Eta Compute Inc., the leader in energy-efficient endpoint AI solutions for intelligent sensing anywhere, announced it closed its Series C funding of $12.5 million, bringing the company's total funds raised to $31.9 million. The round was led by Synaptics (News - Alert) Incorporated along with participation from existing investors. Satish Ganesan, Chief Strategy Officer at Synaptics, will join the Eta Compute Board of Directors.
Eta Compute announced a co-development and co-marketing partnership with Synaptics. The partnership gives Eta Compute access to Synaptics’ just announced ultra-low power Katana Edge AI SoC, and Synaptics access to Eta Compute’s TENSAI® Flow software and neural network compilers, models and AI applications. The joint partnership accelerates the introduction of innovative ultra-low power audio- and vision-based edge AI solutions for smart home consumer IoT markets, and for smart industrial IoT (IIoT) applications in buildings, factories, and cities.