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Bare metal cloud servers now cheaper and more readily available than on-prem hardware, says Nutanix CEO

Nutanix CEO Rajiv Ramaswami says hyperscalers can often beat enterprise vendors on bare-metal price and delivery time.

By Simon Sharwood·May 28·theregister.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Ramaswami argues that cloud providers’ bulk buying power is making bare-metal cloud servers cheaper and faster to obtain than on-prem hardware. He also says customers are still pushing AI work on-prem to keep costs predictable, even as Nutanix keeps winning customers from legacy vendors.

Why it matters

The story points to a changing buying dynamic in enterprise infrastructure: cloud may now win not just on convenience, but on hardware cost and lead time. It also shows how AI spending is reshaping where companies choose to run workloads and how vendors position their products.

Nutanix’s boss says buying computer servers from big cloud companies is becoming easier and cheaper than buying them from regular hardware sellers. That is like finding a store that can deliver toys faster because it buys giant truckloads of them.

At the same time, some companies still want to keep AI tools in their own buildings so the bills are easier to guess. They like knowing what the ride will cost before it starts.

Nutanix says it is also getting new customers from older rivals and that its business is growing. So the story is really about where companies want their computers to live: in their own rooms, or in someone else’s giant warehouse.

Analysis

Hardware economics are shifting

Nutanix CEO Rajiv Ramaswami says major cloud providers are now in a stronger position than traditional enterprise hardware vendors when it comes to bare-metal servers. His argument is simple: hyperscalers buy servers, memory, and storage in huge volumes, so they can often get equipment faster and at better prices than buyers sourcing on-prem hardware.

That matters because customers are no longer choosing infrastructure only on technical fit. According to Ramaswami, they are weighing both price and lead time, and the clouds often win on both. He also expects high memory and SSD prices to stay elevated into next year, which would keep server costs under pressure.

AI changes the buy-vs-build calculation

The article says some customers who once preferred on-premises infrastructure are now moving toward cloud offerings. At the same time, Ramaswami sees more demand for on-prem AI infrastructure because companies want costs to stay predictable. He describes AI as something organizations feel pressure to adopt even when the return is unclear.

Nutanix says the most common on-prem AI uses it sees are document search and summaries. The company also claims it has measured a 10 percent improvement in service response times from AI use, and that its developers are shipping features 50 percent faster with AI helpers.

Nutanix’s broader pitch

The remarks came alongside Nutanix’s Q3 2026 results. The company said it gained 730 new clients in the quarter, with Ramaswami saying most came from legacy vendors. Nutanix also highlighted a shift to support external storage, which helped land seven-figure deals with customers using Everpure and Dell storage.

Financially, Nutanix reported $703 million in quarterly revenue, up 10 percent year over year, and annual recurring revenue of $2.43 billion, up 15 percent. Investors reacted positively after hours.

Key points

  • Ramaswami says hyperscalers can now beat enterprise vendors on bare-metal server price and availability.
  • He expects high memory and SSD prices to stay elevated into next year, keeping server costs under pressure.
  • He says some customers are moving AI work on-prem to keep costs more predictable.
  • Nutanix reported 730 new clients in the quarter and said most came from legacy vendors.
  • The company reported $703 million in quarterly revenue and $2.43 billion in annual recurring revenue.

Originally reported at

theregister.com

Discernion covers the story. Read the full piece at the source.

Tagstechhardwarebusinessaicloud-computingvirtualization

Author

Simon Sharwood

Intelligence analysis by

GPT-5.4 Mini

Published

May 28, 2026

Source

theregister.com

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Topics

techhardwarebusinessaicloud-computingvirtualization

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