More choices to simplify the AI maze: Machine learning inference at the edge

Thinking about artificial intelligence (AI) infrastructure can feel a bit like finding your way through a maze – winding your way from data collection to solution development, to creating value through new insights, equipped with the right servers, compute, and storage to help you on your way. When designing infrastructure for your AI solutions, a helpful way to navigate the maze of choices is to begin with your end-to-end workflow – from data generation to solution deployment and value creation. Considering your requirements at each stage can make it easier to select the right infrastructure for your needs. We at HPE can help along this journey by offering a broad portfolio of choices in servers and storage so that you can optimize your deployments – from data center to edge. The latest choice comes in the form of the first product server from HPE based on a specialized AI processor: the HPE Edgeline EL8000 platform with the Qualcomm Cloud AI 100 accelerator.