Dec. 9, 2025: Cornellis Networks and Supermicro have announ ced Supermicro’s FlexTwin server platforms are now validated with Cornelis’ CN5000 networking for AI and HPC clusters.
Cornelis’ CN5000 400Gbps networking platform is designed to address communication bottlenecks by providing data movement between servers — a critical factor in large AI and HPC deployments. Supermicro’s FlexTwin platforms are intended to address the thermal side of the equation with a dense, liquid-cooled design capable of capturing up to 95 percent of system heat, enabling stable performance in power-constrained data centers.
In addition, the CN5000 portfolio supports both air-cooled and liquid-cooled configurations across its switches, as well as air-cooled and conduction-cooled options for the CN5000 SuperNIC—giving Supermicro FlexTwin customers the flexibility to deploy high-performance networking in any thermal environment.
Together, the validated solution are designed to:
- Run larger, faster AI training and HPC simulations.
- Increase application throughput without increasing power draw.
- Reduce total cost of ownership through higher efficiency per rack.
- Maintain stable performance as clusters scale in size.
The companies said that in joint testing across manufacturing, physics, life sciences, and climate workloads, the Supermicro FlexTwin + Cornelis CN5000 solution delivered:
- Up to 1.5× higher application performance versus competitive 400 Gbps network fabrics.
- An average 29 percent improvement in performance per networking dollar.
- Up to 2.3× higher performance per watt in liquid-cooled configurations.
- Improved scaling efficiency, allowing clusters to grow without the typical performance drop-off.
“We are excited that Supermicro’s FlexTwin platforms are fully validated for the Cornelis CN5000 networking option,” said Vik Malyala, President & Managing Director EMEA, SVP Technology & AI, Supermicro. “By integrating the Cornelis CN5000 networking, we’re giving our customers the tools they need to accelerate the most demanding HPC and AI workloads without compromise.”
As enterprise data centers struggle to run increasingly complex AI training and scientific simulation workloads within tight power and cooling limits, Cornelis and Supermicr
AI model training, advanced simulation, and data-intensive research increasingly depend on large clusters of connected processors and accelerators that operate in parallel. While compute performance continues to rise, power availability, cooling capacity, and network congestion have become the dominant constraints on real-world performance. In many environments, the network, not the processors, now determines workload completion speed and system scalability.
“The infrastructure demands of AI and modern simulation have fundamentally changed, with power, cooling, and network scalability emerging as the new gating factors,” said Lisa Spelman, CEO of Cornelis Networks. “By combining Supermicro’s advanced liquid-cooled FlexTwin architecture with our high-performance CN5000 networking platform, customers gain a proven way to scale performance without paying the traditional penalties in power, cost, or complexity.”
The Supermicro FlexTwin platform with Cornelis CN5000 networking is available now through Supermicro and authorized Cornelis partners.
