Oracle & NVIDIA expand OCI partnership with 160 AI tools
Oracle and NVIDIA have expanded their partnership to enable customers to access more than 160 AI tools and agents while leveraging the necessary computing resources for AI development and deployment.
The collaboration brings NVIDIA AI Enterprise, a cloud-native software platform, natively to the Oracle Cloud Infrastructure (OCI) Console. Oracle customers can now use this platform across OCI's distributed cloud, including public regions, Government Clouds, and sovereign cloud solutions.
Platform access and capabilities
By integrating NVIDIA AI Enterprise directly through the OCI Console rather than a marketplace, Oracle allows customers to utilise their existing Universal Credits, streamlining transactions and support. This approach is designed to speed up deployment and help customers meet security, regulatory, and compliance requirements in enterprise AI processes.
Customers can now access over 160 AI tools focused on training and inference, including NVIDIA NIM microservices. These services aim to simplify the deployment of generative AI models and support a broad set of application-building and data management needs across various deployment scenarios. "Oracle has become the platform of choice for AI training and inferencing, and our work with NVIDIA boosts our ability to support customers running some of the world's most demanding AI workloads," said Karan Batta, Senior Vice President, Oracle Cloud Infrastructure. "Combining NVIDIA's full-stack AI computing platform with OCI's performance, security, and deployment flexibility enables us to deliver AI capabilities at scale to help advance AI efforts globally."
The partnership includes making NVIDIA GB200 NVL72 systems available on the OCI Supercluster, supporting up to 131,072 NVIDIA Blackwell GPUs. The new architecture provides a liquid-cooled infrastructure that targets large-scale AI training and inference requirements. Governments and enterprises can take advantage of the so-called AI factories, using platforms like NVIDIA's GB200 NVL72 for agentic AI tasks reliant on advanced reasoning models and efficiency enhancements.
Developer access to advanced resources
Oracle has become one of the first major cloud providers to integrate with NVIDIA DGX Cloud Lepton, which links developers to a global marketplace of GPU compute. This integration offers developers access to OCI's high-performance GPU clusters for a range of needs, including AI training, inference, digital twin implementations, and parallel HPC applications.
Ian Buck, Vice President of Hyperscale and HPC at NVIDIA, said: "Developers need the latest AI infrastructure and software to rapidly build and launch innovative solutions. With OCI and NVIDIA, they get the performance and tools to bring ideas to life, wherever their work happens."
With this integration, developers are also able to select compute resources in precise regions to help achieve both strategic and sovereign AI aims and satisfy long-term and on-demand requirements.
Customer projects using joint capabilities
Enterprises in Europe and internationally are making use of the enhanced partnership between Oracle and NVIDIA. For example, Almawave, based in Italy, utilises OCI AI infrastructure and NVIDIA Hopper GPUs to run generative AI model training and inference for its Velvet family, which supports Italian alongside other European languages and is being deployed within Almawave's AIWave platform. "Our commitment is to accelerate innovation by building a high-performing, transparent, and fully integrated Italian foundational AI in a European context—and we are only just getting started," said Valeria Sandei, Chief Executive Officer, Almawave. "Oracle and NVIDIA are valued partners for us in this effort, given our common vision around AI and the powerful infrastructure capabilities they bring to the development and operation of Velvet."
Danish health technology company Cerebriu is using OCI along with NVIDIA Hopper GPUs to build an AI-driven tool for clinical brain MRI analysis. Cerebriu's deep learning models, trained on thousands of multi-modal MRI images, aim to reduce the time required to interpret scans, potentially benefiting the clinical diagnosis of time-sensitive neurological conditions. "AI plays an increasingly critical role in how we design and differentiate our products," said Marko Bauer, Machine Learning Researcher, Cerebriu. "OCI and NVIDIA offer AI capabilities that are critical to helping us advance our product strategy, giving us the computing resources we need to discover and develop new AI use cases quickly, cost-effectively, and at scale. Finding the optimal way of training our models has been a key focus for us. While we've experimented with other cloud platforms for AI training, OCI and NVIDIA have provided us the best cloud infrastructure availability and price performance."
By expanding the Oracle-NVIDIA partnership, customers are now able to choose from a wide variety of AI tools and infrastructure options within OCI, supporting both research and production environments for AI solution development.
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