Cornelis Networks has rejuvenated Intel's Omni-Path networking technology, now tailored for contemporary AI workloads. The new CN5000 family boasts a 400G capacity, significantly surpassing the previous 100G version, with plans to reach 800G and 1.6T in the coming years. This technology serves enterprises, HPC centers, and cloud providers that prioritize on-premises AI infrastructure due to cost considerations. CEO Lisa Spelman highlighted how these advancements can better utilize budgets while allowing for larger AI model training, supporting various CPUs and accelerators, including Nvidia and AMD's hardware.
It's a combination of enhancements of the existing features that were already there... and pulled forward capabilities like collective performance that are more important for AI.
A lot of enterprises we see are planning to do their inference and they're fine-tuning on-prem simply because of the cost economics of a fully utilized cloud model.
You can do more with less... within my budget, I can now tackle a bigger problem, I can train a larger model, or deliver that on a smaller budget.
The CN5000 family is a 400G product, which is a four times bandwidth jump over the original legacy 100G product.
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