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Intel partners with Oracle to deploy Xeon server CPUs for AI workloads

Intel partners with Oracle to deploy Xeon server CPUs for AI workloads

Oracle logo on dark (Wikimedia Commons, public domain)

A multiyear deal puts more Intel Xeon capacity inside Oracle Cloud Infrastructure, even as weak guidance knocked the stock lower days later

Intel just landed a long-term partner for the part of its business that is actually growing. At Oracle AI World in Las Vegas on October 27, 2026, Intel and Oracle announced a multiyear collaboration to expand Xeon-based computing inside Oracle Cloud Infrastructure (OCI).

The timing is interesting. Two days later, Intel reported quarterly results, and its forward guidance sent the stock tumbling in after-hours trading. The server business is booming. The PC business is the relative who shows up to the party and asks for a loan.

What Intel and Oracle actually agreed to

The partnership centers on adding Xeon capacity to OCI over several years. Both current Xeon platforms and future chips are part of the plan.

The headline future product is Diamond Rapids, Intel’s next-generation server processor. Oracle’s anticipated OCI X14 offerings are expected to run on it.

The target workloads fall into three buckets: enterprise applications, agentic AI, and inference. Intel’s AMX features will support those inference tasks.

Some quick translation helps here. Training is when an AI model learns. Inference is when the finished model answers your questions, millions of times a day, for paying customers.

Agentic AI refers to systems that carry out multistep tasks on their own rather than just responding to a single prompt. Think less chatbot, more digital intern that keeps working after you leave the room.

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The numbers behind the pivot

Intel’s third quarter of 2026 shows exactly why the company wants more deals like this one. The Data Center and AI segment brought in $7.3 billion in revenue, up 78% year-over-year.

That growth helped lift total company revenue 21% to $16.5 billion.

The client segment, which covers PCs, told a different story. It generated $8.1 billion, down 5% year-over-year.

Put those two figures side by side and a tension appears. The PC business is still slightly larger than data center and AI in raw dollars, but it is shrinking while the server side is surging. The data center segment now accounts for nearly half of total revenue.

Why the stock fell anyway

Good partnership news and strong quarterly growth did not protect the shares. Intel stock closed at $92.07 before the earnings release on October 29.

Then the fourth-quarter outlook landed. Shares dropped by approximately 13-22% in after-hours trading, a range that reflects how volatile the move was.

The culprits were weakness in the PC market and ongoing supply chain constraints.

Context matters. Intel shares had climbed more than 100% before the report, fueled by investor enthusiasm around AI.

What this means for Intel, Oracle, and the AI infrastructure race

For Intel, the Oracle partnership is a strategic signal as much as a revenue line. The company is trying to prove that its future runs through cloud data centers rather than consumer laptops.

A multiyear commitment from a major cloud provider, tied to a next-generation chip like Diamond Rapids, gives that narrative a concrete anchor.

For Oracle, the deal adds compute capacity aimed at the workloads enterprises increasingly want to run. Agentic AI and inference are where corporate customers move from experimenting with AI to paying for it every month.

There are clear risks to watch. Supply chain constraints were explicitly cited as a factor in the cautious outlook. PC weakness could continue to drag on the headline numbers even if data center growth stays strong.

Execution on Diamond Rapids is the other key variable. A partnership built around a future chip is only as good as that chip’s delivery schedule and performance.

For investors, the split screen is the story. One segment grew 78% while another shrank 5%, inside the same company, in the same quarter.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.