SAN JOSE, CA (GTC), Mar 24, 2025 – Oracle and NVIDIA announced an integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure and generative AI services to help organizations globally speed the creation of agentic AI applications.
Integrating Oracle Cloud Infrastructure (OCI) and the NVIDIA AI Enterprise software platform will make 160+ AI tools and 100+ NVIDIA NIM microservices available through the OCI Console. In addition, Oracle and NVIDIA are collaborating on the no-code deployment of Oracle and NVIDIA AI Blueprints and on accelerating AI vector search in Oracle Database 23ai with the NVIDIA cuVS library.
“Oracle has become the platform of choice for both AI training and inferencing, and this partnership enhances our ability to help customers achieve greater innovation and business results,” said Safra Catz, CEO of Oracle. “NVIDIA’s offerings, paired with OCI’s flexibility, scalability, performance, and security, will speed AI adoption and help customers get more value from their data.”
“Oracle and NVIDIA are perfect partners for the age of reasoning – an AI and accelerated computing company working with a key player in processing much of the world’s enterprise data,” said Jensen Huang, founder and CEO of NVIDIA. “Together, we help enterprises innovate with agentic AI to deliver amazing things for their customers and partners.”
Purpose-Built Solutions to Meet Enterprise AI Needs
NVIDIA AI Enterprise will be integrated into the OCI Console, allowing users to access AI tools more quickly. These tools include NVIDIA NIM, a collection of over 100 cloud-based inference microservices optimized for top AI models, such as NVIDIA Llama Nemotron models designed for advanced reasoning tasks.
NVIDIA AI Enterprise will be available for deployment on OCI bare-metal instances and Kubernetes clusters using OCI Kubernetes Engine. Customers using the OCI Console will receive direct billing and support through Oracle.
Organizations can use OCI’s 150+ AI and cloud services with NVIDIA accelerated computing and NVIDIA AI Enterprise. The tools can be deployed in the data center, public cloud, or at the edge. This setup supports data privacy, sovereign AI, and low-latency needs with an integrated AI stack.
Soley Therapeutics, a biotechnology company, uses OCI AI Infrastructure, NVIDIA AI Enterprise, and NVIDIA Blackwell GPUs to develop its AI drug discovery platform. The platform analyzes cellular data to predict cell behavior and identify potential treatments for complex diseases.
“We believe in the potential of AI in developing new solutions that can help deliver treatments for cancer and other complex diseases,” said Yerem Yeghiazarians, cofounder and CEO of Soley Therapeutics. “The combination of OCI and NVIDIA delivers a full-stack AI solution, providing us the storage, compute, software tools and support necessary to innovate faster with petabytes of data in developing our AI drug discovery platform.”
AI Deployment at Scale With Tailored Blueprints
OCI AI Blueprints provide no-code deployment recipes that enable customers to run AI workloads without having to make decisions about the software stack or manually provision the infrastructure. The blueprints provide hardware suggestions for NVIDIA GPUs, NIM microservices, and built-in monitoring tools. These help businesses speed up their AI projects substantially.
NVIDIA Blueprints give out developers a consistent way to work with NVIDIA tools and software. They offer reference workflows for enterprise AI projects. With the blueprints, organizations can create and run tailored AI applications using NVIDIA AI Enterprise, NVIDIA Omniverse, APIs, and microservices. For instance, developers can start with an AI Blueprint for a customer service assistant and adapt it to meet specific needs.
To make it easier to develop, deploy, and scale advanced AI and simulation applications, the NVIDIA Omniverse platform, NVIDIA Isaac Sim workstations, and Omniverse Kit App Streaming are expected to be available on Oracle Cloud Infrastructure Marketplace later this year. The tools will come preconfigured with compute bare-metal instances powered by NVIDIA L40S GPUs.
Pipefy, an AI-powered automation platform for business process management, uses an inference blueprint for document preprocessing and image processing.
“We embraced OCI AI Blueprints to spin up NVIDIA GPU nodes and deploy multimodal large language models quickly for document- and image-processing use cases,” said Gabriel Custodio, principal software engineer at Pipefy. “Using these prepackaged and verified blueprints, deploying our AI models on OCI is now fully automated and significantly faster.”
Real-Time AI Inference With NVIDIA NIM in OCI Data Science
To help businesses use AI faster and simplify deployments, data scientists can use pre-optimized NVIDIA NIM microservices in OCI Data Science. This allows real-time AI inference without the need to manage infrastructure.
The models operate within the customer’s OCI tenancy to support data security and compliance. Customers can pay hourly with a flexible option or use their Oracle Universal Credits.
Organizations can use this integration to set up inference endpoints with ready-to-use, optimized NIM inference engines in a short time. This supports AI assistants, real-time recommendations, and copilots. It also lets users start with smaller workloads and expand to larger, organization-wide deployments as needed.
NVIDIA Accelerated Computing Platform Turbocharges AI Vector Search in Oracle Database 23ai
Oracle and NVIDIA are working together to accelerate the creation of vector embeddings and vector indexes – compute-intensive portions of AI Vector Search workloads in Oracle Database 23ai – using NVIDIA GPUs and NVIDIA cuVS.
Organizations can process substantial amount of data, including text, images, and videos, by bulk vectorizing the input. They can also build and manage vector indexes efficiently. Using NVIDIA-powered AI Vector Search, Oracle Database users can enhance AI pipeline performance to handle high-volume vector tasks.
DeweyVision uses computer vision and AI to transform media into data. This data becomes easier to access, search, organize, and use. DeweyVision relies on Oracle Database 23ai and Oracle Autonomous Database for its no-code AI tools. The tools allow production teams to manage and tag video footage in minutes. They also offer search features, helping users find and edit content effectively.
“Oracle Database 23ai with AI Vector Search can significantly increase Dewey’s search performance while increasing the scalability of the DeweyVision platform,” said Majid Bemanian, CEO of DeweyVision. “Using NVIDIA GPUs to create the vector embeddings that we load into Oracle Database accelerates our platform’s ingestion of new data, while Autonomous Database and the converged capabilities of Oracle Database 23ai will help reduce our operational costs as we grow and open new opportunities. We believe that the combination of DeweyVision, Oracle Database 23ai and NVIDIA GPUs running in OCI will help us achieve our goal of becoming Hollywood’s data warehouse.”
NVIDIA Blackwell on OCI Enables AI Anywhere
Oracle and NVIDIA continue to evolve AI infrastructure with new NVIDIA GPU types across OCI’s public regions, government clouds, sovereign clouds, OCI Dedicated Region, Oracle Alloy, OCI Compute Cloud@Customer and OCI Roving Edge Devices.
This includes NVIDIA Quantum-2 InfiniBand cluster network environments, NVIDIA Spectrum ethernet switches and optimized NVIDIA NVLink and NVLink Switch functionality for some of the largest AI superclusters in the market.
OCI will offer NVIDIA GB200 NVL72 systems on OCI Supercluster – generally available soon with up to 131,072 NVIDIA GPUs – and is taking orders for one of the largest AI supercomputers in the cloud with NVIDIA Blackwell Ultra GPUs.
OCI will be among the first cloud service providers to offer the next generation of the NVIDIA Blackwell accelerated computing platform. Built on the groundbreaking Blackwell architecture introduced a year ago, Blackwell Ultra includes the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX B300 NVL16 system. The GB300 NVL72 delivers 1.5x more AI performance than the NVIDIA GB200 NVL72, increasing Blackwell’s revenue opportunity by 50x for AI factories compared with those built with NVIDIA Hopper.
SoundHound offers voice and conversational AI tools, supporting voice features in millions of products from global brands. Its voice AI platform operates on OCI, handling billions of queries yearly, and uses NVIDIA GPUs to deliver accurate and responsive voice services.
“SoundHound has developed a long-term relationship with OCI, and we believe our ongoing collaboration will play a key role in supporting future growth,” said James Hom, chief product officer of SoundHound AI. “NVIDIA GPUs will greatly accelerate training for our next generation of voice AI.”
About NVIDIA
NVIDIA Corp. is an American tech company headquartered in Santa Clara, CA. Renowned for designing and manufacturing graphics processing units (GPUs), NVIDIA’s innovations have significantly impacted various sectors. The company’s products and services cater to industries such as gaming, where its GPUs enhance visual experiences; artificial intelligence (AI), providing high-performance computing solutions; automotive, contributing to autonomous vehicle technologies; and robotics, offering advanced AI perception and simulation tools. Over its more than three decades in business, NVIDIA has experienced substantial growth. In the fiscal quarter ending January 2025, the company reported record revenue of $39.3 billion and a net income of $22.1 billion. NVIDIA’s headquarters, designed to facilitate a flat organizational structure, emphasizes information flow and harmony between leadership and employees.