Collaborating Authors


AI chip startup Ceremorphic comes out of stealth mode


The battle to change the computer industry so that machines can better compute artificial intelligence tasks, especially deep learning, continues to birth new and interesting potential future stars. On Monday, Ceremorphic of San Jose, California, formally debuted chip efforts that have been kept in a stealth mode for two years, discussing a chip the company claims will revolutionize the efficiency of A.I. computing in terms of power consumption. "It's counterintuitive today, but higher performance is lower power, said Venkat Mattela, founder and CEO of the company, in an interview with ZDNet via Zoom. Mattela believes that numerous patents on low-power operation will enable his company's chip to produce the same accuracy on signature tasks of machine learning with much less computing effort. "What I'm trying to do is not just building a semiconductor chip but also the math and the algorithms to reduce the workload," he said.

Ceremorphic Touts Its HPC/AI Silicon Technology as It Exits Stealth


In a market still filling with fledging silicon chips, Ceremorphic, Inc. has exited stealth and is telling the world about what it calls its patented new ThreadArch multi-thread processor technology that is intended to help improve new supercomputers. Venkat Mattela, the company's founder and CEO of Ceremorphic, calls his latest chip design a Hierarchical Learning Processor (HLP), even though several technology analysts said they recognize it as a system on a chip (SoC) design. The goal of the company is to design, benchmark and market a new kind of ultra-low-power AI training chip. "What we are trying to solve is today – everybody knows how to do higher performance – you can buy an Nvidia machine," Mattela told HPCwire. "Can we have the highest performance in a reliable way? Architecture is how we achieve it," using multiple processors, a multiple logic design and mixing and matching it all.