Gemini-ii | US Army soldier operates a GETAC rugged laptop connected to an AN/PRC-160(V)1 radio during signal training at the 173rd Airborne Brigade Communicators Academy in Italy.
US Army Sgt. Aaron Ford trains on a rugged laptop and AN/PRC-160(V)1 high-frequency manpack radio during the 173rd Airborne Brigade Communicators Academy in Italy, October 2025. Photo: Capt. Jennifer French/DVIDS

Soldiers could soon operate a rugged AI system at the frontline, enabling real-time analysis and decision-making without relying on cloud connectivity.

Under a roughly $2-million Phase II award from the US Army’s xTech Small Business Innovation Research program, GSI Technology will develop a field-ready edge AI platform, building on earlier phase work that validated its core approach.

The system will be built around GSI’s Gemini-II processor, which uses a compute-in-memory architecture to process data directly where it is stored, reducing latency and power consumption.

Designed for size, weight, and power constraints, the platform is intended to enable real-time processing of battlefield data, including sensor inputs and targeting information, at the point of need.

“This award represents an important step toward field deployment in defense applications,” said Lee-Lean Shu, chairman and CEO of GSI Technology.

“Gemini-II is purpose-built to deliver high-performance AI within tight power and space constraints, enabling autonomous decision-making at the point of need without reliance on cloud or reachback infrastructure.”

The Phase II award builds on an earlier contract of up to $250,000 that validated Gemini-II integration with army AI models and identified suitable edge algorithms, as the Pentagon pushes ahead with an “AI-first” approach to deployment.

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