In large deployments, thousands of these systems are interconnected to form a data center-sized AI cluster. Rather than dual-socket servers as the core element in, the primary building block in AI is a system containing multiple accelerators such as GPUs. To efficiently process this data, the architecture for AI data centers is significantly different than standard cloud infrastructure. Today's AI workloads require a truly massive data sets. Generative AI is rapidly driving new applications and changing the investment priorities for our cloud customers. In the past, we considered AI to be one of many applications within cloud, but its importance and therefore, the opportunity has increased dramatically. My questions regarding the below if anyone bothers to read, does this require bandwidth outside the data center or is this all internal? I have always thought data centers and the cloud are responsible for much of Lumens diminished returns, curious if this is more of that or something else?īefore we get to our results for each end market, let me start by discussing the tremendous opportunity that AI represents for Marvell. I believe it is from the Marvel conference call. Interesting AI commentary from an IV poster that comes around here every once in a while.

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