GSI Technology Awarded Phase I of Smart City Project in Taiwan, Advancing Commercial Deployment of Gemini-II

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SUNNYVALE, Calif., May 18, 2026 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial intelligence (AI) and high-performance compute processing, providing true compute-in-memory technology, announced it has been awarded Phase I of a Smart City project by the Hsinchu County government in Taiwan. The completion of Phase I will mark the company’s first smart city deployment of the Gemini-II APU. The initial Phase I contract represents the first stage of a multi-phase program. If awarded, the follow-on phases could generate a multi-million-dollar opportunity for hardware and recurring software licensing revenue. The project builds on GSI’s previously announced Sentinel program and, if follow-on phases are awarded, will deploy an AI-based video analytics platform powered by the Gemini-II APU across a large installed base of network-connected surveillance cameras.” “This award marks an important milestone for GSI as our first smart city deployment, opening the door to a large and increasingly important global market opportunity,” said Lee-Lean Shu, Chairman and Chief Executive Officer of GSI Technology. “We are seeing increasing demand for edge AI infrastructure that delivers real-time performance at low power across distributed camera networks. As these systems evolve to incorporate multimodal inputs, including video, text, and audio, we believe the Gemini-II platform is well positioned to deliver efficient, real-time processing at the edge, particularly as deployments scale across thousands of endpoints, where complexity increases significantly.” The Smart Eye Guardian system enables real-time detection and monitoring of public safety events, including hazards, fires, violent activity, traffic incidents, and suspicious behavior. By performing AI inference at the edge, the Gemini-II platform delivers real-time, low-latency analysis while operating within constrained power and thermal environments, which are critical for large-scale, always-on municipal infrastructure. Centralized processing can introduce latency, bandwidth, and cost constraints, while the Gemini-II platform supports distributed deployments across hundreds of endpoints, enabling both real-time detection, monitoring and retrospective search for specific past events of interest across recorded data....

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