AI infrastructure company Cornelis has raised $205 million in a funding round led by IAG Capital Partners, signaling growing momentum in the race to build faster, more flexible systems for artificial intelligence.
The company also introduced Active Compute Fabric, a networking technology designed to reduce idle GPU time by allowing chips to process data and move information at the same time. The goal is to improve efficiency across demanding AI workloads.
Founded as a spin-off from Intel in 2020, Cornelis is positioning itself with an open architecture that can work with a range of GPU and accelerator hardware. That approach gives customers more choice as AI infrastructure becomes increasingly modular and performance-driven.
Cornelis has already begun shipping its product and says a next-generation version is in development, with release planned later this year. The company's progress reflects a broader shift toward specialized networking layers that can support the next wave of AI computing. In the future, such advances could help make AI systems faster, more adaptable, and easier to scale.
