Moving AI from the Data Center to the Edge – Intel Chip Chat – Episode 663


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In this Intel Conversations in the Cloud audio podcast: As AI expands into the mainstream, how will it succeed at the edge? Matt Jacobs, Senior VP Commercial Systems, Penguin Computing, Inc. talks about the growth of AI, its move from the data center, and easing customers into the edge space.

An established leader in data center and HPC solutions, Penguin takes a system-level view of the move to AI, a trend they’ve seen developing over the past two years. In the next 18 months, symbiotic technologies will be converging to create “real growth opportunity,” in Jacobs’ words.

Deploying AI at the edge comes with its own needs, and they differ from those of traditional data centers. Easily maintained low-power environments well-tuned for workloads are key, and the spread of processing power from the data center to the near-edge to the far-edge calls for software that can ensure workload portability.

New compute platforms, like 2nd Generation Intel Xeon Scalable processors with built-in AI acceleration, suit the unique requirements of workloads at the edge. Upcoming Intel “One API” software, which will simplify programming diverse computing engines, will support targeting workloads at various levels of capability.

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