Cornelis lands $205M to make AI networks compute, not just connect
Networks built for AI and HPC workloads have mostly focused on moving data faster between endpoints.
Networks built for AI and HPC workloads have mostly focused on moving data faster between endpoints.
The short version
- That leaves compute idle while packets travel, a bottleneck vendors have tried to address mainly by adding bandwidth rather than changing what the fabric itself does.
- Cornelis Networks is taking a different approach.
- The company raised $205 million to fund its expansion into scale-up networking and introduced Active Compute Fabric, an architecture that puts programmable compute inside the network rather than using it only to connect endpoints.
What happened
Cornelis emerged from Intel in 2020, when the team behind Intel’s Omni-Path architecture spun out as an independent company. Omni-Path is a proprietary network connectivity protocol that provides a competitive alternative to InfiniBand and Ethernet.
Why it matters
In 2025, the company shipped its first generation of standalone products, the CN5000 platform .
Summary by Nerd News Network. Read the full article at Network World via the links above and below.