Gsi Technology(NASDAQ) GSIT

GSI Technology makes chips that process data faster using less power. These chips help military and medical equipment work accurately. They also help search engines find information quickly.

Fast Chips and Memory Tools

• Associative Processing Units: Specialized chips that calculate data directly where it is stored to speed up artificial intelligence; revenue from this line is not yet material.
• Synchronous SRAM: Static Random Access Memory (SRAM) chips used in networking and telecom gear; accounts for most net revenue.
• Radiation-Hardened Memory: Rugged chips built for satellites and missiles to survive the high-radiation environment of space.
• Leda Computing Cards: Expansion boards that plug into standard servers to provide high-performance search capabilities.

Government Partnerships and Funding

• Closed a $50 million stock offering in October 2025 to fund growth and product development.
• Partnered with G2 Tech in January 2026 to develop an autonomous drone security system.
• Secured an initial production order for space-grade chips from a North American contractor in March 2025.
• Awarded a $2 million contract by the U.S. Army in April 2026 for ruggedized edge-processing platforms.
• Won Phase I of a Smart City project in Taiwan in May 2026 for its Gemini-II chip.

What Makes GSI Different

GSI follows a fabless model by designing its own chips while outsourcing the actual manufacturing to Taiwan Semiconductor Manufacturing Company (TSMC). Its unique architecture processes data exactly where it is stored, which significantly lowers energy consumption.

Tracking the Latest Performance

• Net revenue hit $6.3 million in Q4 2026, up 7.4% from Q4 2025.
• Operating loss was $5.2 million in Q4 2026, deepening 128.8% year-over-year.
• Free cash flow hit -$5.6 million in Q4 2026, worsening 237.1% from Q4 2025.
• Sales to foreign and domestic distributors accounted for 93.3% of net revenues in fiscal 2026.

Bottom Line

GSI is moving from traditional memory chips to advanced artificial intelligence hardware. By using its legacy profits to fund new chip designs, it aims to grow in the edge computing market.