Edge AI processor combines high performance, low power

March 05, 2021 // By Rich Pell
Edge AI processor combines high performance, low power
Edge AI processor startup ArchiTek has launched what it claims is the industry's most compact, high-performing edge AI processor.

The processor, called AiOnIc, is the first in-house created chip based on the company's proprietary ArchiTek Intelligence Pixel Engine (aIPE) architecture. The ArchiTek Intelligence architecture, says the company, is at the forefront of Edge AI processors currently in development around the world.

"AiOnIc delivers the holy grail for Edge AI processors by delivering true high performance with extremely low power at a fraction of the price of GPUs," says Shuichi Takada, ArchiTek CEO. "Our groundbreaking ArchiTek Intelligence computer architecture, combined with our low-cost AiOnIc processor, opens the door to deliver the promise of AR, VR, smart cities and countless other 21st century use cases by proliferating AI on the Edge."

The company says AiOnIc does not need a cooling fan, so a sealed water-proof and dust-proof system can be easily designed and built. Its ArchiTek Intelligence architecture supports a variety of algorithms by dynamically recombining hardware components of CPUs, GPUs, and application specific LSIs, and then enables the simultaneous execution of multiple processing in real time and with low latency.

AiOnIc specifications are offered as the following:

  • Process: 12 nm (N12FFC) TSMC
  • Package: FCCSP, 12 mm × 12 mm
  • Die size: 4.5 mm × 4.5 mm
  • Supply voltage: 0.9 V, 1.8 V
  • Power consumption: Under 1W
  • Built-in CPU SiFive RISC-V[3]
  • Built-in SRAM 8MB
  • Computer Vision Acceleration
  • General purpose matrix adder and multiplier
  • High efficiency General Purpose GPU (for parallel processing)

Due to its highly efficient hardware processing, says the company, ArchiTek Intelligence is ideal for use in integrated systems, such as smart security cameras, drones, robots, autonomous vehicles and other applications that have high-performance and low-power requirements for Edge AI.


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