"We ensure high-density compute infrastructure grows responsibly"

Nathan Thomas, Vice President of Multicloud at Oracle, brings deep cross-industry expertise to the company's cloud and artificial intelligence (AI) strategy.

- 

Previously, he served as a product leader at Amazon Web Services, oversaw Unreal Engine as Vice President at Epic Games, and led Product Management for Storage at Google Cloud. At Oracle, he drives the multicloud roadmap and AI initiatives, enabling customers to use the company's databases and AI services on the cloud provider of their choice.

Speaking to Shubhendu Parth, he breaks down Oracle's latest engineering-led advances—from Zettascale GPU superclusters, Acceleron networking and Helios rack architecture to the Oracle AI Data Platform and unified agentic-AI framework. He also discusses open standards, the balance between NVIDIA and AMD GPUs, sustainability, and Oracle's India strategy. For technology leaders tracking high-density AI infrastructure and multicloud ecosystems, this conversation offers clear insights into Oracle's next phase of innovation. Excerpts:

How is Oracle Cloud Infrastructure (OCI) integrating the recently announced agentic artificial intelligence (AI) capabilities? What does that look like when you translate it into real customer use cases?

The foundation for agentic AI begins with infrastructure. We require a very strong foundation for our own workloads as well as for the workloads that customers build on OCI. Many of our announcements at the Oracle AI World are rooted directly in infrastructure innovation.

Acceleron for network fabrics is a major highlight. We are reducing packet latency, strengthening node-to-node communication, and embedding Zero-Trust Packet Routing (ZPR) directly at the physical layer. When Network Interface Cards (NICs) are combined with Graphics Processing Units (GPUs), businesses achieve very high performance with end-to-end security boundaries. These innovations feed into capabilities such as OCI Zettascale 10, supporting the next generation of GPU cluster scale.