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GSI Technology FRACTALS Project Partners With SHREC
Project to Collaborate on Space-Related Computing Systems SUNNYVALE, Calif., July 27, 2020 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), a leading
About this update from Gsi Technology, Inc.
[{"type":"text","content":"Project to Collaborate on Space-Related Computing Systems\nSUNNYVALE, Calif., July 27, 2020 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), a leading provider of high-performance memory solutions for the networking, telecommunications, and military markets, announced that SHREC (NSF Center for Space, High-Performance, and Resilient Computing) has partnered with the GSI Technology project FRACTALS [Fault tolerant and Resilient Associative CompuTing for Artificial inteLligence in Space].\n The goal of FRACTALS is to create modular and cost-effective computing systems for all space-related efforts, from ground-based high-performance computing (HPC) data centers to deep-solar-system exploration missions. GSI Technology's artificial intelligence (AI) team is committed to the open nature of AI. FRACTALS welcomes collaborators, like SHREC, to join this effort bringing novel computing architectures to mission-critical systems in space. Lee-Lean Shu, Chairman and Chief Executive Officer of GSI Technology, commented, \"In our partnership with SHREC, GSI gains access to thought leaders and researchers to help us advance the development and commercialization of our Associative Processing Unit (APU) processor. SHREC addresses research challenges facing three domains of mission-critical computing – space computing, high-performance computing, and resilient computing. Through its Industry-University Cooperative Research Centers (IUCRC) programs, the organization develops and supports relationships between industry innovators, world-class academic teams, and government leaders. GSI will leverage these resources to advance the APU’s performance and expand our network in this sector.\" \"Two space-related trends that benefit Gemini®, our APU processor, are the increase in satellite launches and far-away space mission deployments,\" continued Mr. Shu. \"For advanced HPC systems on Earth processing the incoming data from satellites, our Gemini delivers significant AI processing advantages in speed and power. Over time, as more processing ability resides in space, processors will need high performance and the ability to tolerate harsh radiation. Radiation tolerant Gemini can provide onboard AI in severe conditions and process the massive amounts of data required with a lower power requirement.\" Deep learning can consume enormous amounts of...