Cornelis Networks
Executive perspectives from Cornelis Networks across NextGenInfra's event and research showcases.
2 video interviews · 2025
Cornelis CEO on Scalability for AI Networking
- Cornelis CEO says 30% of GPU time is lost waiting on communications.
- Cornelis networking scales up to 500,000 endpoints without performance limits.
Full summary
At AI Infra 2025, Lisa Spelman, CEO of Cornelis Networks, shared insights on GPU utilization challenges, noting that 30% of GPU time is lost waiting for communications. Cornelis Networks addresses these inefficiencies through networking solutions that enable scaling up to 500,000 endpoints without hitting performance limitations.
How to Maximize GPU ROI in AI Infrastructure Buildouts
- Cornelis targets weak AI infrastructure ROI across compute cycles, power efficiency, and space utilization.
- Its technology increases GPU utilization to improve the economic model.
- Current 400 gig tech already offers Ultra Ethernet features like credit-based flow control and adaptive routing.
Full summary
Lisa Spelman, CEO of Cornelis Networks, discusses how companies struggle to extract sufficient value from their AI infrastructure investments, particularly regarding compute cycles, power efficiency, and data center space utilization to make their economic models viable. She explains that Cornelis Networks addresses these economic challenges by developing technology that increases GPU utilization and delivers enhanced performance, with their current 400 gig technology already providing ultraethernet compliance features like credit-based flow controls and adaptive routing.