NetApp AI awards and industry analyst recognition

Cambridge Consultants case study arrow_forward.We view it as tried and tested in what can be highly demanding conditions for storage. One of the key reasons our deep learning storage is based on NetApp technology is the positive experience we have had with the technology in the past. Run 5 times more data through your pipelineĬopy datasets in seconds rather than hours or daysĬonfigure your AI infrastructure with Ansible integration Unleash the capabilities of your data scientists As the data authority on hybrid cloud, NetApp delivers AI solutions that remove bottlenecks at the edge, core, and cloud to enable more efficient data collection, accelerated AI workloads, and smoother cloud integration. As enterprises of all types embrace AI technologies, they face data challenges (aka bottlenecks) from edge to core to cloud. The process of operationalizing AI requires massive amounts of data to flow unhindered through a five-stage pipeline, from ingest through archive. Remove AI infrastructure obstacles and bottlenecks and optimize performance from edge to core to cloud. Training artificial intelligence (AI) algorithms requires data to flow like water through a fire hose. Artificial intelligence solutions: Let your data flow

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