AI presents an opportunity for partners to sell more on-premises hardware, according to HPE CEO Antonio Neri.
Speaking at the company’s annual Partner Growth Summit ahead of the main HPE Discover 2024 conference in Las Vegas, Neri said:
“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.”
By offering customers a cloud-first approach that’s also based on-premises (such as that provided by HPE GreenLake), there’s an opportunity to really increase revenues off the back of the trend, he suggested.
“AI has given a triple shot in the arm to the server business,” he added.
It’s not just AI where HPE believes the opportunity lies, though. Leaning on one of the key themes of this year’s conference, sustainability, Neil MacDonald, EVP and GM of compute, HPC and AI at HPE, spoke of the need for companies to modernize their existing infrastructure, saying “there’s a lot of old, dusty server equipment out there that is ripe to refresh”.
MacDonald claimed that these elderly systems are “wasting our customers’ money”, as they’re not very efficient.
RELATED WHITEPAPER
“There are over 400,000 [HPE] systems out there of over four years of age,” MacDonald said.
“Legacy systems are consuming about 66% of data center power, but they're only doing about 7% of useful work so there’s a huge opportunity for efficiency gains. One Gen11 can replace 11 Gen8 servers and consume 90% less power.”
He also pointed out that older infrastructure doesn’t have all the security features of HPE’s more recent products. All of these are reasons to encourage customers to upgrade, he said.
ITPro's Jane McCallion will be live on the ground in Las Vegas this week with rolling coverage of HPE Discover 2024. Keep tabs on all the latest news, updates, and announcements in our live blog.
-
Cisco takes aim at AI security at RSAC with ServiceNow partnershipNews The companies claim Cisco AI Defense and ServiceNow SecOps will help address new challenges raised by AI
-
Why veterans can excel in data centers – and could help the IT sector address its skill shortagesIn-depth Ex-military workers can bring software and hardware to civilian roles
-
HPE eyes enterprise data sovereignty gains with Aruba Networking Central expansionNews HPE has announced a sweeping expansion of its Aruba Networking Central platform, offering users a raft of new features focused on driving security and data sovereignty.
-
HPE unveils Mod Pod AI ‘data center-in-a-box’ at Nvidia GTCNews Water-cooled containers will improve access to HPC and AI hardware, the company claimed
-
‘Divorced from reality’: HPE slams DOJ over bid to block Juniper deal, claims move will benefit Cisco
News HPE has criticized the US Department of Justice's attempt to block its acquisition of Juniper Networks, claiming it will benefit competitors such as Cisco.
-
HPE plans to "vigorously defend" Juniper Networks deal as DoJ files suit to block acquisitionNews The US Department of Justice (DoJ) has filed a suit against HPE over its proposed acquisition of Juniper Networks, citing competition concerns.
-
HPE Discover Barcelona: What’s the business benefit of supercomputers?ITPro Podcast With potential in fields such as AI to scientific modelling, global interest in supercomputers continues to rise
-
El Capitan powers up, becomes fastest supercomputer in the worldNews Earth’s newest supercomputer is fast, efficient, and its use cases are rather different
-
HPE ProLiant DL145 Gen11 review: HPE pushes EPYC power to the network edgeReviews A rugged and very well-designed edge server offering a remarkably high EPYC core count for its size
-
Inside Lumi, one of the world’s greenest supercomputersLong read Located less than 200 miles from the Arctic Circle, Europe’s fastest supercomputer gives a glimpse of how we can balance high-intensity workloads and AI with sustainability
