Intel and Oracle Expand Multi-Year Collaboration to Scale Xeon Computing on Oracle Cloud Infrastructure

Intel and Oracle have announced plans for an expanded multi-year collaboration to increase Intel Xeon processor-based computing capacity on Oracle Cloud Infrastructure (OCI). The initiative aims to address growing demand for enterprise applications, agentic artificial intelligence (AI) and AI inference workloads. The announcement was made at Oracle AI World in Las Vegas on October 27, 2026. Intel+1

Expanding Cloud Infrastructure for Enterprise AI

As enterprises deploy AI agents across business operations, computing infrastructure must support more than model training. CPUs play an important role in running enterprise applications, moving data, coordinating agent activities and executing inference workloads within existing business systems.

The expanded collaboration is intended to help Oracle increase computing capacity while enabling customers to integrate AI into their established enterprise software environments. Intel and Oracle also plan to coordinate their technology roadmaps and processor capacity planning to support OCI’s continued expansion. Intel

Future OCI X14 Offerings to Feature Next-Generation Xeon Technology

A key component of the planned collaboration is Oracle’s upcoming X14 compute offerings, expected to use Intel’s next-generation server processor, codenamed Diamond Rapids.

The planned offerings are expected to introduce enhancements in both general-purpose computing and AI inference, including:

• Intel Advanced Matrix Extensions (AMX): Enhanced support for FP8, FP16 and BF16 numerical formats to accelerate compatible inference software.
• Intel Advanced Performance Extensions (APX): Designed to help optimized applications execute with less instruction overhead.
• AI inference capabilities: Support for workloads such as embedding generation, reranking and inference using smaller AI models.
• Flexible cloud resources: CPU and memory configurations intended to accommodate different application, data-processing and AI-agent workloads.

These capabilities are expected to help organizations run AI services alongside existing enterprise applications without relying exclusively on accelerators designed for larger AI models. However, the Diamond Rapids-based OCI X14 offerings remain planned, and their specifications and availability should be treated as forward-looking. Intel+1

Supporting AI Agents Across Enterprise Applications

The collaboration reflects the growing importance of CPU infrastructure in enterprise AI deployments. AI agents require access to business applications, enterprise data and operational tools to complete tasks. CPUs can support these activities, including orchestration, data processing and smaller-model inference.

OCI’s existing Xeon-based offerings combine Intel computing with built-in AI acceleration, flexible CPU and memory configurations, and Oracle Acceleron networking. Customers can scale application services, data processing and agent execution independently of the accelerators used for larger models, potentially improving how resources are allocated across AI workflows. Intel

For organizations modernizing ERP, supply chain, financial and other enterprise systems, this infrastructure approach could provide additional options for introducing AI capabilities while retaining familiar software environments and operational tools.

Key Takeaways

• Expanded partnership: Intel and Oracle plan a multi-year collaboration to increase Xeon-based computing on OCI.
• Next-generation processors: Planned OCI X14 offerings are expected to use Intel Diamond Rapids processors.
• AI inference improvements: Enhanced AMX capabilities are expected to support FP8, FP16 and BF16 formats in compatible workloads.
• Enterprise AI adoption: The collaboration targets application execution, agentic AI orchestration and inference.
• Flexible infrastructure: Organizations can better match CPU, memory and accelerator resources to different workload requirements.
• Future availability: The collaboration’s implementation, product timing and expected benefits are not guaranteed.