Leveraging RISC-V for AI and Machine Learning

In Electronic Design, by William Wong.

It’s a work in progress, but Esperanto Technologiesis looking to use RISC-V technology in artificial-intelligence (AI) and machine-learning (ML) applications. These days, ML, which is a branch of AI, means deep neural networks (DNNs). That, in turn, requires high-performance computing tailored for processing these types of networks.
Esperanto is developing the ET-Maxion and ET-Minion RISC-V processors to address this growing niche, which up to now has been dominated by GPGPUs and custom hardware designs. Also part of the mix is the ET-Graphics core that targets graphics solutions.

The company’s goal is to have the best teraFLOPS per watt using RISC-V for ML.

2018-07-25T11:48:46+00:00December 12th, 2017|