Oracle and Nvidia have announced a partnership to make Nvidia's AI Enterprise software stack available via Oracle Cloud Infrastructure (OCI) services, providing developers and enterprises with easier access to AI tools, better user interfaces, and increased productivity.

The integration will enable enterprises to combine Nvidia's AI Enterprise stack with OCI services for building applications and managing data across deployments. This will give developers access to over 160 AI tools for training and inference, including NIM microservices, according to a joint statement by the companies at Nvidia's annual GTC conference.

Analysts believe that the integration will provide several advantages to developers and enterprises. "Developers stand to be able to seamlessly leverage technologies such as Nvidia NeMo, NIM, and RAPIDS, all of which are part of Nvidia AI Enterprise stack," said Arnal Dayaratna, research vice president at IDC. "They can use NeMo to build, train, and fine-tune large language models, or use NIM to facilitate the deployment of AI models as microservices."

The integration is also expected to drive a better user experience, which is important for users working in DevOps, as well as provide consistency in terms of support and billing, according to Moor Insights and Strategy principal analyst Jason Andersen. Additionally, the integration will drive efficiency for developers and enterprises by reducing setup time and simplifying access to advanced AI tools, said Charlie Dai, vice president and principal analyst at Forrester.

As an extension to Oracle's strategy to help enterprise users deploy faster with minimal setup, the cloud services provider has integrated Nvidia's NIM microservices into OCI Data Science. This will allow data scientists to access preoptimized microservices from Nvidia NIM directly in OCI Data Science to support real-time AI inference use cases without the complexity of managing infrastructure.

NIM's pre-built container instances and standard APIs are also expected to simplify hosting and accelerate integration with upstream and downstream applications, said Brian Alletto, director of West Monroe's technology and experience practice. The integration will aid data scientists by simplifying AI model deployment, enhancing scalability, and accelerating time-to-insight.

The partnership is seen as a symbiotic one, with Oracle gaining increased customer adoption of its core compute and storage offerings, and Nvidia gaining first-class citizenship to a major cloud provider, driving additional usage of GPUs and related software. The integration may also boost Oracle's image as a provider of AI offerings, according to Moor Insights and Strategy's Andersen.

In related news, Oracle is adding AI Blueprints — no code deployment recipes — to OCI to further help its enterprise customers simplify and accelerate their AI deployments. OCI AI Blueprints supports automatic scaling (autoscaling) of inference workloads to handle varying traffic loads efficiently.

While tools such as AI Blueprints enable rapid deployment and can be optimized later as product use cases, balancing the offering velocity and cost remains a challenge, according to West Monroe's Alletto. Nevertheless, the partnership between Oracle and Nvidia is expected to have a significant impact on the AI landscape, providing developers and enterprises with easier access to AI tools and increased productivity.