Blaize Inc. wants to help enterprises run their artificial intelligence workloads more efficiently. The El Dorado Hills, California-based startup launched from stealth mode this morning and unveiled ...
Blaize has unveiled what it says is the first true Graph-Native silicon architecture and software platform built to process neural networks and enable artificial intelligence (AI) applications with ...
El Dorado Hills, California, Aug. 21, 2017 (GLOBE NEWSWIRE) -- THINCI Inc.—an innovative deep-learning, vision processing startup, developing groundbreaking machine learning technology will describe ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Samsung Electronics Co., Ltd., a world leader in advanced semiconductor technology, in collaboration with design services provider, VeriSilicon, has successfully ...
Venture-backed chip startup Blaize Inc. has introduced three new hardware modules for running artificial intelligence models at so-called edge locations such as factories. The modules, announced on ...
Blaize (NASDAQ:BZAI) develops AI-focused processors and software designed for real-time data analysis at the "edge"—meaning outside of traditional data centers. Its core products, including AI-focused ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--The Edge AI and Vision Alliance announced Blaize as winner of the 2022 Edge AI and Vision Product of the Year - Best Edge AI Processor - for the Blaize® ...
Blaize Graph Streaming Processor TM (GSP) architecture: the first to enable concurrent execution of multiple neural networks and entire workflows on a single system, while supporting a diverse range ...
Dinakar Munagala, co-founder and CEO, Blaize, believes his Graph Streaming Processing (GSP) architecture stands a chance to infiltrate the former camp. Blaize seeks to fill gaps left open by edge AI ...
J-Squared FALC products powered by Blaize, and its Graph Streaming Processor (GSP®) architecture, provide low power, low latency, and efficient memory use J-Squared’s flagship product, the FALC-20, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results