The year started with the launch of Grai Matter and its edge AI chip, as well as an analysis of the role of IP.
- THE AI CHIPS RACE IS ON – WHAT ROLE WILL IP PLAY?
- GRAI MATTER, PARIS RESEARCH GIVES RISE TO AI PROCESSOR FOR THE EDGE
New chip architectures also emerged, optimised for edge AI. The open source RISC-V instruction set architecture saw various instruction extensions to boost performance for edge AI and so lower the power consumption. While new techniques such as spiking neural networks promised to reduce power consumption further, French AI scientist Yann LeCun at Facebook highlighted the vital role at the RISC-V will play.
- RISC-V BOOM SAYS FACEBOOK'S CHIEF AI SCIENTIST
- HAILO RAISES $60m FOR AI MICROPROCESSOR DEVELOPMENT
- LOW-COST AI PROCESSOR TARGETS AIOT
- SIFIVE AND CEVA PARTNERS ON AI
Funders also recognised the growth, backing startups in the middle of the year to get designs to the next stage of development.
- FUNDS FLOOD HARDWARE STARTUPS, SAMBANOVA RAISES $250m
- LOW-POWER CHIP FEATURES QUANTIZED DNN ENGINE
- PERCEIVE LAUNCHES INFERENCE PROCESSOR
- EDGE STARTUP OFFERS LEGACY SUPPORT AND ML ACCELERATION
- FOXCONN, SOCIONEXT AND HAILO PARTNER
- SUMITOMO LEADS $10m BACKING OF ANAGOG
- LOW POWER BREAKTHROUGH FOR INFERENCE CHIPS
By July, details of one of the major chip designs emerged with Blaize having raised $65m. With design teams in the UK, US and India, the company was focussed on both hardware and software.
The edge devices also have to be part of the Internet of Things (IoT)
- THE WORLD’S SMALLEST AI SOLUTION
- AI CHIP ADDS MESH PROCESSING
- AI INFERENCE ACCELERATOR LINKS TO EDGE DEVELOPMENT KIT
