Everpure sees AI infrastructure strategy move beyond virtual machines
AI infrastructure strategy is expanding beyond compute and storage specifications as artificial intelligence reshapes who manages enterprise applications and data. Infrastructure teams are increasingly being asked to support virtual machines, Kubernetes, graphics processing units and AI workloads together. That expansion is reshaping responsibilities traditionally divided among infrastructure,…
AI infrastructure strategy is evolving beyond virtual machines and physical hardware as artificial intelligence (AI) reshapes how enterprises manage applications and data. Everpure Inc., a leading provider of data infrastructure solutions, is expanding its platform to support AI workloads alongside virtual machines and Kubernetes.
Cody Hosterman, Everpure's senior director of product management, noted that discussions at their events have shifted from VMs to datasets and applications that consume them. To cater to this rapidly changing market, Everpure is aligning its data platform with VMware Cloud Foundation 9.1, which supports virtual machines, Kubernetes, and AI workloads.
Additionally, customers are leveraging public cloud resources to test configurations and right-size infrastructure in their data centers before implementing them. Hosterman emphasized that the goal should be to drive business objectives with AI, rather than merely enabling AI infrastructure.
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