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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