HPE has focused a great deal of attention on building out compute solutions to address the growing needs of artificial intelligence workloads. AI consumes massive compute resources at scale, leveraging both GPU and CPU performance to achieve results. HPE is helping companies defer the upfront cost of deploying these solutions by helping to finance the infrastructure, allowing software companies to focus on building great AI solutions. In this interview from HPE Discover, Sorin Cheran, an HPE Fellow and VP, explains how this approach to funding artificial intelligence infrastructure works as he highlights some of the challenges through an example deployment of autonomous cars.
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