When you think about AI is not a monolithic workload, it's actually a distributed workload, which is obviously very data intensive. That actually opens up the opportunity to bring more infrastructure on premises than ever before. The fact that AI is a data-first business will drive customers to rethink their data strategy, where they store it, [and] how they maintain it in compliance.
Offering customers a cloud-first approach based on-premises like HPE GreenLake can significantly increase revenues. AI has boosted the server business. HPE also focuses on modernizing infrastructure for efficiency and security improvements.
There are over 400,000 [HPE] systems out there of over four years of age. Legacy systems consume about 66% of data center power but only provide about 7% of useful work, offering a huge efficiency gain opportunity. Upgrading to newer products enhances security features and reduces power consumption significantly.
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