GF Maps Cloud-to-Edge Chip Portfolio for AI Workloads
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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.