Clustered systems are emerging as the backbone of artificial intelligence infrastructure, transforming how industries manage the immense demands of training large language models and executing machine learning tasks.
As traditional computing frameworks fall short, these interconnected networks of servers are driving a new era of efficiency and scalability. However, the success of these systems hinges on strong networking solutions, which serve as the critical foundation for ensuring seamless operations and unlocking AI’s full potential. Without such innovations, even the most advanced AI systems risk falling short of their promise, according to Hasan Siraj (pictured), head of software products, ecosystem, at Broadcom Inc.
“There [are] people who know how to manage Ethernet-based networks,” Siraj said. “There are troubleshooting tools, monitoring tools that are available. Whenever you’re building an AI network, you have a front end, a backend, a storage and an outband management network that’s all Ethernet. It’s a standard way of managing all of it.”
Siraj spoke with theCUBE Research’s John Furrier and Dave Vellante at …