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Ultra-low-power supercomputing chip targets AI, HPC and metaverse

Business news |
By Rich Pell
AI

Founded in April 2020 by Dr. Venkat Mattela, the Founding CEO of Redpine Signals, Ceremorphic leverages its own patented multi-thread processor technology ThreadArch combined with cutting-edge new technology developed by the company’s silicon, algorithm and software engineers. Designed in advanced silicon geometry (TSMC 5-nm node), the new ultra-low-power supercomputing chip was built from the ground up to solve today’s high-performance computing problems in reliability, security and energy consumption to serve all performance-demanding market segments, says the company.

“Having developed many innovations in multi-thread processing, algorithm driven VLSI, reliable performance circuits, low-energy interface circuits, quantum resistant security microarchitecture, and new device architectures beyond CMOS, Ceremorphic is well on its way to accomplish our goals,” says Venkat Mattela, Founder and CEO of Ceremorphic. “The challenges this market faces with ‘reliable performance computing’ cannot be solved with existing architectures, but rather needs a completely new architecture built specifically to provide reliability, security, energy efficiency, and scalability.”

The Hierarchical Learning Processor (HLP) series deploys the right processing system for optimal power performance operation, says the company. Key features of the QS 1 chip, the first in the series, include the following:

  • Custom Machine Learning Processor (MLP) running at 2GHz
  • Custom FPU running at 2GHz
  • Patented Multi-thread processing macro-architecture, ThreadArch® based RISC –V® processor for proxy processing (1GHz)
  • Custom video engines for Metaverse Processing (1GHz) along with M55 v1 core from ARM®
  • Custom designed X16 PCIe 6. 0 / CXL 3.0 connectivity interface
  • Open AI framework software support with optimized compiler and application libraries
  • Soft error rate: (100,000)-1

The Ceremorphic architecture has been designed to scale across multiple compute intensive markets and applications, says the company, including AI training supercomputing, data center processing, automotive, metaverse processing, robotics and life sciences. For more, see “One architecture for a wide range of markets and applications.”

Ceremorphic


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