
Designing PAs at the Speed of AI: Falcomm Introduces GaNdalph.ai using GF RFGaN1 at IMS 2026
Falcomm and GlobalFoundries introduced an AI-native EDA tool that reduces power-amplifier design cycles from months to minutes.
GaNdalph automates power amplifier design using AI-augmented foundry PDKs. Its foundation models are trained on process-aware data developed alongside GlobalFoundries, capturing metal-stack EM physics, transistor nonlinearities, and manufacturability rules.
Falcomm built GaNdalph to expand what RF engineers can accomplish.

You describe the amplifier you need. GaNdalph does the rest of the flow, all the way to a layout you can hand to the fab.




Every GaNdalph design moves through the same three steps, from spec to a layout-ready result on a qualified GF node.
Enter the band, output power, and efficiency target you need.
GaNdalph's foundation models search that space against GF RFGaN1's process rules for a design that meets the spec.
The result is a layout-ready design on a qualified GF node.
GaNdalph designs against GlobalFoundries process data and manufacturability rules. RFGaN1 is the first supported process, with additional GF nodes planned.
The silicon-on-insulator process behind much of today's 5G and mmWave front-end hardware.
GF's high-frequency platform for mmWave and radar front ends.
GlobalFoundries has qualified RFGaN1 for high-volume production. GaNdalph uses process-aware data developed alongside GF to keep its output grounded in that manufacturing process.

GF's FD-SOI platform, for designs that put RF and digital on the same piece of silicon.
The silicon-on-insulator process behind much of today's 5G and mmWave front-end hardware.
GF's FD-SOI platform, for designs that put RF and digital on the same piece of silicon.
GF's high-frequency platform for mmWave and radar front ends.
Falcomm's PA designers built GaNdalph from the process knowledge used across the company's product work.
GaNdalph debuted at IMS 2026 in Boston with first-class support for GF RFGaN1.