Technology Showcase

Global – October 22, 2026 -- GF has laid out a cloud-to-edge portfolio of essential chips for AI, spanning silicon photonics, power delivery, advanced packaging, RF, embedded memory and low-power compute, in a talk at CEA-LETI.

The company ties the portfolio to AI use cases in autonomous driving, healthcare, robotics and industrial automation.

GF targets GPU connectivity and data center power in the cloud

Connecting more GPUs for more powerful AI models requires higher data rates, which GF addresses with Fotonix silicon photonics and optical networking.

For data centers seeking sustainable power and lower CO2 emissions, GF points to GaN, BCDLite and FinFET technologies. They provide low transmission loss power delivery and fast transient response voltage regulation.

SHERIDAN, WYOMING -- June 25, 2026 -- General Motors has published details of EMWU, an offboard data pipeline designed to extract rare, safety-critical driving scenarios from millions of miles of autonomous vehicle fleet footage without proportional increases in compute cost. GM's autonomous vehicle fleet generates continuous sensor and camera streams across hundreds of test vehicles, and the volume of that data has made brute-force AI analysis economically and technically unworkable. EMWU separates the problem into three distinct tiers — domain projection, candidate retrieval, and deep visual reasoning — each calibrated to spend compute only where it is warranted.