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Artificial Intelligence (AI), powered by accelerated processing units (XPUs) like GPUs and TPUs, is transforming industries. The network interconnecting these processors is crucial for efficient and successful AI deployments. AI workloads, involving intensive training and rapid inferencing, require very high bandwidth interconnects with low and consistent latency, and the highest reliability to maximize XPU utilization and reduce AI job completion time (JCT). A best-of-breed network with AI-specific optimizations is critical for delivering AI applications, with any JCT slowdown leading to revenue loss. Typical workloads have fewer, very high-bandwidth, low-entropy flows that run for extended periods, exchanging large messages synchronously, necessitating advanced lossless forwarding and specialized operational tools.
With 30-50% of processing time spent exchanging data over networks, the economic impact of network performance in AI clusters is significant. Network bottlenecks lead to idle cycles on XPUs, wasting both the capital investment in processing and operational expenses on power and cooling. An optimal network is therefore critical to the function of an AI Center.
To deploy & adopt optimal Networking for AI platforms and AI for networking outcomes, join the CIO Roundtable powered by Arista Networks. Seize this exclusive opportunity to meet and interact with Ken Duda – Co-Founder, Global CTO & Head of Software Engineering, Arista Networks.