Oracle Reshapes the Multicloud Landscape Through Frictionless AWS Connectivity and Open Standards

OCI and AWS are collaborating to provide organizations with high-performance, multicloud architectures that eliminate the need for physical hardware and manual network management. By leveraging OCI’s native, enterprise-scale interconnect, this partnership creates a secure, private bridge that accelerates AI modernization and boosts operational flexibility without the hassle of complex data replication. This open-specification solution is set to launch later this year in the AWS US East (N. Virginia) region, enabling customers to unify their cloud environments and harness the best features of both providers through a single networking framework.

From our perspective, this strategic alignment signals the diminishment of the walled garden era, as Oracle and AWS prioritize low-latency data mobility to prevent egress fees from undermining business outcomes. By standardizing on the AWS Interconnect–multicloud open specification, Oracle is commoditizing the underlying transport layer, forcing the competition to shift from connectivity lock-in to superior service-level performance. The inclusion of Oracle AI Database@AWS within this framework indicates a future where high-performance compute and massive datasets are no longer tethered to a single provider's geography.

We see that this partnership specifically addresses the AI data gravity problem, enabling businesses to train models in one cloud while serving inference from another without the latency concerns of traditional public internet routing. Moreover, by removing the need for third-party middle-mile providers, OCI and AWS are reducing the operational tax usually associated with maintaining high-availability, split-stack architectures. As a result, this move positions Oracle as an essential, high-speed intelligence layer that powers the increasingly fragmented but interdependent multicloud ecosystem.

Reinforcing the partnership’s momentum, Oracle AI Database@AWS has officially launched in Paris and Zurich, offering European enterprises lower latency and essential in-country data residency for their database and AI workloads. This expansion enables organizations in highly regulated sectors, such as finance and healthcare, to run Oracle Exadata and AI Vector Search natively within the AWS environment using familiar management tools and consolidated billing. By placing OCI resources directly inside these new AWS regions, Oracle and AWS are simplifying multicloud architectures and enabling faster deployment of AI-enabled applications across the continent.

OCI Reshaping the Multicloud Ecosystem and Landscape

By establishing high-performance connectivity between its own interconnect and AWS Interconnect–multicloud, we see Oracle gaining a competitive edge by dismantling the data silos that once forced customers to choose a single hyperscaler. This expansion of the partnership enables Oracle to administer migratory workloads from AWS-centric enterprises that previously hesitated to use OCI due to egress costs and latency, directly fueling Oracle's 531% multicloud revenue growth. By standardizing on an open interconnect specification, Oracle transforms its cloud into a high-speed database utility that can serve AWS compute resources as natively as its own, making it the preferred backend for cross-cloud AI training.

This strategy mitigates the data gravity problem, enabling customers to run complex AI Vector Search and Exadata workloads on OCI while maintaining their existing front-end applications and familiar management tools on AWS. Furthermore, the collaboration positions Oracle as a neutral infrastructure partner in a fragmented market, allowing it to scale its footprint into 22 AWS regions by the end of 2026. Accordingly, this move ensures that Oracle remains indispensable to the enterprise AI stack, proving that in a multicloud world, the provider that enables the most frictionless data mobility wins the largest share of mission-critical contracts.