Oracle and Digital Realty are rolling out a joint initiative to bring cloud resources physically closer to where enterprise data actually lives. Instead of the typical “just add more servers” approach, they’re zeroing in on reducing latency and simplifying deployment for AI and hybrid cloud workloads. The plan? Oracle Cloud Solution Centers are going live in major data hotspots—think Singapore, Frankfurt, and Northern Virginia—with remote access for London thrown in.
Oracle’s putting its cloud infrastructure and software stack on the table, while Digital Realty handles the heavy lifting with their PlatformDIGITAL colocation and interconnection services. The main objective is to simplify enterprise-level AI deployment.
Nobody wants to wrestle with convoluted integrations or manage some opaque cloud infrastructure that feels a million miles away. The push is toward cloud and AI solutions that are straightforward—think seamless integration, predictable performance, and minimal operational friction. Basically, plug it in, spin it up, and let your teams focus on actual work instead of untangling technical messes.
This isn’t a marketing handshake. Behind the scenes, architecture teams from both companies are already helping enterprise clients build and test real-world use cases—from Oracle FastConnect setups to Exadata-based implementations. And they’re not starting from scratch. A growing library of jointly developed configurations provides a head start for companies navigating modernization or multi-cloud transitions.
Interestingly, their approach leans into hybrid flexibility. As more organizations operate in complex IT environments that mix on-prem, cloud, and edge resources, being able to integrate AI capabilities securely and swiftly becomes more than a nice-to-have—it becomes essential.
Early adopters, such as Grupo Anaya, are already reporting meaningful outcomes, including improved performance and reduced network costs. For many enterprises, this collaboration may present a path forward that doesn’t require rebuilding from the ground up but rather rethinking what sits next to their data—and how fast it can deliver.
