Cornelis adds federal partners for AI & HPC networking

Cornelis has expanded its global partner ecosystem with new federal integrators and distribution partners, widening channel access to its CN5000 networking platform for AI and high-performance computing deployments.

The additions include ASI Corp, CTG Federal and TVAR Solutions. They are expected to extend Cornelis' reach among resellers, system integrators and managed service providers serving government, academic and commercial customers.

The company is seeking broader coverage in markets where networking is critical to large computing clusters, particularly for AI and high-performance computing workloads that depend on fast data movement between servers.

The expanded partner base builds on Cornelis' existing network of regional solution providers that design, deploy and support high-performance computing infrastructure across academia, government and enterprise environments.

Chief Executive Officer Lisa Spelman said customers want alternatives in AI and HPC infrastructure without sacrificing performance.

"The market is ready for real choice in AI and HPC infrastructure but not at the cost of performance," said Lisa Spelman, Chief Executive Officer, Cornelis. "Customers are under increasing pressure to deliver more compute within fixed power, space, and budget constraints, and they can't afford inefficient architectures that leave performance stranded. By expanding our partner ecosystem and executing against a clear, multi-year roadmap, we're giving customers and partners the confidence to scale AI with a high-performance network that delivers uncompromising flexibility and measurable results."

Channel expansion

ASI Corp is a North American distributor, while CTG Federal and TVAR Solutions focus on public-sector and federal systems integration. Their addition signals a stronger push by Cornelis into government procurement channels, where supply certainty, security requirements and established integrator relationships often shape buying decisions.

CTG Federal positioned the partnership around both product availability and performance.

"Federal agencies aren't asking for networking experiments, they're asking for proven technology that ships on time and runs well," said Brad Baker, Co-Founder and Chief Technology Officer, CTG Federal. "Cornelis does this extremely well. The CN5000 is purpose-built for AI and HPC at scale, and switches and cables are actually available when customers need it. Our federal customers are specifically asking for this technology. This partnership is how we get it to them."

Partners in the Cornelis ecosystem receive sales and technical support, including training, access to networking specialists and validated reference architectures. Cornelis also works with them on co-branded marketing materials and related commercial activity.

For distributors, the pitch is aimed at resellers looking for more options in specialist infrastructure markets. The networking market for AI clusters has drawn growing attention as buyers look beyond processors and servers to the interconnects that tie systems together.

"We are focused on bringing innovative, high-value technologies to our channel partners," said Peter Chen, Vice President of Product Management, ASI Corp. "Providing products that maximize performance, improve efficiency, and support scalability for the network infrastructure is a critical part of the overall solution stack. Cornelis' CN5000 product family expands the options available to our resellers and enables them to deliver differentiated solutions for demanding HPC environments."

Networking focus

The CN5000 family is Cornelis' latest networking line for scale-out computing systems. It provides 400-Gbps end-to-end networking for distributed computing environments where latency and message throughput affect overall system efficiency.

According to Cornelis, the platform offers latency of less than 1 microsecond and message rates of up to 800 million messages per second. The company also says customers can achieve up to 1.5 times higher application performance than rival 400 Gbps fabrics, about 30% better performance per networking dollar and stronger scaling efficiency in larger clusters.

Those claims address a longstanding issue in AI and HPC systems: as clusters grow, the network can limit gains from additional compute resources. Vendors are increasingly trying to show that better interconnect performance can reduce idle time, improve utilisation and shorten job completion times.

Mike Lafferty of Cornelis said partners see an opening in a market where one approach has long dominated.

"Partners are recognizing a significant opportunity to differentiate themselves by offering a high-performance alternative in a market long dominated by a single approach," said Mike Lafferty, Strategic Partner Relations, Cornelis. "By aligning with Cornelis, they can deliver superior performance, improved availability, and compelling economics to their customers."

Cornelis said demand is coming from research universities, academic computing centres, federal and defence agencies, manufacturing, industrial simulation, energy, life sciences and financial services. These sectors typically use tightly coupled systems for modelling, analytics and machine learning, where delays between nodes can have an outsized effect on performance.

TVAR Solutions tied the partnership to growing public-sector demand for faster analysis of large datasets.

"Government agencies are under increasing pressure to deliver faster insights from growing volumes of data," said Sam O'Daniel, President and CEO, TVAR Solutions. "By partnering with Cornelis, TVAR is able to bring high-performance, scalable networking solutions to our federal customers-helping them accelerate mission outcomes while maintaining security, efficiency, and flexibility."