Using HPE AI and Machine Learning The HPE package allows application | Forum

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Sherry James
Sherry James Feb 3

Using HPE AI and Machine Learning  The HPE package allows application developers, data scientists, and data engineers to focus on analytics instead of infrastructure needs, Patrick Osborne, HPE’s VP of Big Data and secondary storage, said. “We just want them to worry about data modeling and data engineering as opposed to futzing around with infrastructure,” he said. Hardware makers such as HPE, IBM, Dell EMC, and Lenovo are all investing in the fast-growing AI market, and part of that is developing hardware for compute-intensive AI workloads, Dave Schubmehl, IDC’s research director for AI software platforms, said. HPE, whose Apollo 6500 Gen10 system was purpose built for deep Dumpsbossg, has also developed specific Pointnext services to help its customers implement AI projects. The BlueData acquisition complements HPE’s AI efforts, Schubmehl said. “HPE has invested in AI and ML quite a bit. They have specific reference architectures. They’ve got cookbooks – all sorts of great stuff for organizations that are running AI, and this is just furthering that whole approach,” he said. BlueData Integration BlueData software can run in on-premises data centers, in the public cloud, or in hybrid environments. HPE will continue to offer BlueData as a standalone software product that can run on any vendor’s on-premises infrastructure. The turnkey HPE solution – which combines BlueData software HP HPE2-N69 Exam Dumps with Apollo servers and storage and Pointnext services – is ideal for enterprises with large-scale AI, ML, and other data analytics projects, the company said. “


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