GSI Technology Teams Up with UC Riverside to Supercharge AI and High Performance Computing with Gemini APU
The Gemini APU’s compute-in-memory design offers an optimal remedy for the “AI bottleneck” dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications. The architecture inherently boasts substantial memory bandwidth making it ideally poised to elevate performance and memory capacity for AI and High Performance Computing.
“The technologies we all use today such as machine learning, AI, and even databases, all started out as student projects and research papers before industry took notice,” said
Professor Sadredini’s work is at the intersection of memory and compute with a focus on machine learning, data mining, and hardware security. In Professor Sadredini,
“I’m extremely excited to collaborate with
To learn more about GSI’s Gemini APU visit https://www.gsitechnology.com/compute
ABOUT GSI TECHNOLOGY
Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. The Company recently launched radiation-hardened memory products for extreme environments in space and the Gemini® Associative Processing Unit (APU), a memory-centric design that delivers significant performance advantages for diverse AI applications. The Gemini APU architecture removes the I/O bottleneck between the processors and memory arrays by performing massive parallel searches directly in the memory array where data is stored. The novel architecture delivers performance-over-power ratio improvements compared to CPU, GPU, and DRAM for applications like image detection, speech recognition, e-commerce recommendation systems, and more. Gemini is an ideal solution for edge applications with a scalable format, small footprint, and low power consumption where rapid, accurate responses are critical. For more information, please visit www.gsitechnology.com.
Chief Financial Officer
Source: GSI Technology, Inc.