A lot is riding on the success of today’s artificial intelligence efforts, placing the underlying infrastructural underpinnings under immense scrutiny. From AI networking to storage and compute, the enterprise resource draw is higher now than it’s ever been.
Given these facts, how can organizations streamline their infrastructure to maintain sustainable, robust long-term AI operations?
“The key to driving outcomes and business value from gen AI is data,” said Scott Bils(pictured), vice president of product management, professional services, at Dell Technologies Inc. “That’s where the role of AI networking becomes so critical. When you think about AI networking and the role it plays in data, when you think about clusters and AI architectures, they’re fundamentally different than traditional data center networking. When you think about clusters of GPUs, you essentially want the clusters at a rack level, or even a data center level, to function as a single computer … a single …