OmniPath Taking on InfiniBand for AI Fabric Leadership
For those of you who follow the TechArena – or the technology landscape – you’re likely familiar with the name Lisa Spelman. Former head of all things Xeon at Intel, Lisa has driven tens of billions in business creation in her career as well as gaining real-world experience in the IT realm at the company.
Her knowledge of both the data center arena and of the large hyperscalers is unquestioned, and we at TechArena were excited by her recent move to take on leadership as CEO of Cornelis Networks as the company seeks to drive their technology into the AI landscape. Cornelis is the provider of Omni-Path fabric technology, a competitive fabric to InfiniBand that heretofore has had great success in HPC clusters across the globe.
I finally got to catch up with Lisa on her vision for the company at the AI Hardware and Edge Summit about how she is going to harness Cornelis technology to compete squarely with NVIDIA’s InfiniBand technology as a fabric foundation for AI training clusters. Lisa did not disappoint. We dove into the future of AI scale-out and how Cornelis is leading the charge with their Omni-Path solutions with an approach to maximize performance, scalability, and interoperability for data centers, ensuring that AI models can scale effortlessly across different environments.
Lisa highlighted how Omni-Path provides the foundation for building out next-gen AI infrastructure, making it easier for businesses to scale their AI workloads without running into bottlenecks of other technologies like Ethernet. She shared that Cornelis has already seen substantial traction with customers who are looking to optimize their data center operations for AI. One of the key takeaways for me from our conversation was how AI scale-out is moving beyond just a cloud discussion. Companies are increasingly interested in hybrid models that balance the power of cloud computing with the control and security of on-prem solutions.
What’s the TechArena take? If you’re keeping an eye on AI infrastructure, you’ll want to closely watch what Cornelis Networks is doing. Cornelis is helping companies deliver to the hybrid vision, and their goal of future-proofing AI infrastructure and providing an alternative technology to an all-NVIDIA solution is something that businesses can't afford to ignore. Cornelis’ focus on true interoperability with Ethernet and Ultra Ethernet extends Omni-Path into, from my view, a very viable and competitive solution in the market addressing both technology and business needs for new AI cluster deployments.
Their innovative approach to fabric delivery, and frankly their mere existence as a competitor to NVIDIA, will be a game changer for companies looking to optimize their near-term AI operations while maintaining the flexibility to grow in a constantly evolving tech landscape. Cornelis is indeed in a perfect position to disrupt a market, and with Lisa’s extensive knowledge of the data center landscape, key players, and business savvy, I expect a bright future for Omni-Path.
For those of you who follow the TechArena – or the technology landscape – you’re likely familiar with the name Lisa Spelman. Former head of all things Xeon at Intel, Lisa has driven tens of billions in business creation in her career as well as gaining real-world experience in the IT realm at the company.
Her knowledge of both the data center arena and of the large hyperscalers is unquestioned, and we at TechArena were excited by her recent move to take on leadership as CEO of Cornelis Networks as the company seeks to drive their technology into the AI landscape. Cornelis is the provider of Omni-Path fabric technology, a competitive fabric to InfiniBand that heretofore has had great success in HPC clusters across the globe.
I finally got to catch up with Lisa on her vision for the company at the AI Hardware and Edge Summit about how she is going to harness Cornelis technology to compete squarely with NVIDIA’s InfiniBand technology as a fabric foundation for AI training clusters. Lisa did not disappoint. We dove into the future of AI scale-out and how Cornelis is leading the charge with their Omni-Path solutions with an approach to maximize performance, scalability, and interoperability for data centers, ensuring that AI models can scale effortlessly across different environments.
Lisa highlighted how Omni-Path provides the foundation for building out next-gen AI infrastructure, making it easier for businesses to scale their AI workloads without running into bottlenecks of other technologies like Ethernet. She shared that Cornelis has already seen substantial traction with customers who are looking to optimize their data center operations for AI. One of the key takeaways for me from our conversation was how AI scale-out is moving beyond just a cloud discussion. Companies are increasingly interested in hybrid models that balance the power of cloud computing with the control and security of on-prem solutions.
What’s the TechArena take? If you’re keeping an eye on AI infrastructure, you’ll want to closely watch what Cornelis Networks is doing. Cornelis is helping companies deliver to the hybrid vision, and their goal of future-proofing AI infrastructure and providing an alternative technology to an all-NVIDIA solution is something that businesses can't afford to ignore. Cornelis’ focus on true interoperability with Ethernet and Ultra Ethernet extends Omni-Path into, from my view, a very viable and competitive solution in the market addressing both technology and business needs for new AI cluster deployments.
Their innovative approach to fabric delivery, and frankly their mere existence as a competitor to NVIDIA, will be a game changer for companies looking to optimize their near-term AI operations while maintaining the flexibility to grow in a constantly evolving tech landscape. Cornelis is indeed in a perfect position to disrupt a market, and with Lisa’s extensive knowledge of the data center landscape, key players, and business savvy, I expect a bright future for Omni-Path.
