Product Detail

CN5000 Omni-Path SuperNICs
As AI and HPC workloads continue to evolve in complexity, the demand for high-performance, scalable networking solutions has never been more critical. The Cornelis CN5000 Omni-Path adapters are purpose-built to deliver industry-leading performance and scalability, accelerating time-to-results and maximizing investment in extreme-scale environments
High-Performance Networking, Engineered for Extreme-Scale Compute
Scalable Performance to Thousands of Nodes
The CN5000 adapter offers unmatched scalability via dynamic adapter routing, traffic flow optimization and zero-latency packet integrity protection. These features enhance the networks ability to handle high-demand workloads by reducing latency, preventing data loss, and ensuring efficient data transmission. As a result, the utilization of the GPU is improved leading to TCO optimization.
Advanced Networking for Generative Agentic AI and HPC Workloads
The CN5000 adapter provides up to 400Gbps bidirectional bandwidth while achieving the highest message rates and lowest latency. For AI-driven training workloads, CN5000 provides the bandwidth at scale and for inference it accelerates test-time compute and time-to-results by ensuring ultra-low-latency and eliminating tail latency. Built for highly parallelized compute, CN5000 remains the best choice for all HPC applications for its robustness, efficiency and performance.
Reliability and Adaptability for Maximum Efficiency
In AI and HPC, consistent and reliable network performance is crucial for maximizing computational efficiency. CN5000 features advanced error correction, and dynamic network function placement, ensuring maximum network efficiency. These innovations deliver superior reliability and adaptability for evolving AI and HPC environments. CN5000 consumes up to 50% less power than competing adapter products1, reducing operational costs while maintaining peak efficiency.