Oracle Database and NVIDIA AI Integrations Make It Easier for Enterprises to Quickly and Easily Harness Agentic AI
Oracle and NVIDIA have unveiled a groundbreaking integration that combines NVIDIA’s accelerated computing and inference software with Oracle’s advanced AI infrastructure and generative AI services. This collaboration is designed to streamline the development of agentic AI applications, helping enterprises worldwide accelerate innovation.
The integration brings together Oracle Cloud Infrastructure (OCI) and NVIDIA AI Enterprise, making over 160 AI tools and 100+ NVIDIA NIM™ microservices natively accessible via the OCI Console. Additionally, Oracle and NVIDIA are partnering to enable no-code deployment of AI Blueprints from both companies and to enhance 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, 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, co-founder and CEO, NVIDIA. “Together, we help enterprises innovate with agentic AI to deliver amazing things for their customers and partners.”
AI Solutions Tailored for Enterprises
To simplify AI adoption, NVIDIA AI Enterprise will be available natively through the OCI Console, allowing businesses to seamlessly deploy NVIDIA NIM™, a suite of optimized, cloud-native inference microservices designed for cutting-edge AI models, including NVIDIA Llama Nemotron models for advanced AI reasoning. Customers will benefit from streamlined deployment on OCI bare-metal instances and Kubernetes clusters using OCI Kubernetes Engine, with direct billing and support from Oracle.
By integrating OCI’s extensive AI and cloud services with NVIDIA’s accelerated computing capabilities, enterprises can deploy AI-driven solutions across data centers, public clouds, and edge environments. This flexible AI stack supports stringent data privacy, sovereign AI, and low-latency requirements, ensuring compliance and efficiency.
One such example is biotechnology firm Soley Therapeutics, which leverages OCI AI infrastructure, NVIDIA AI Enterprise, and NVIDIA Blackwell GPUs to power its AI-driven drug discovery platform.
“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, CEO and co-founder, 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.”
Streamlined AI Deployment with Blueprints
OCI AI Blueprints provide an intuitive, no-code deployment framework that enables organizations to implement AI workloads rapidly without manually configuring the infrastructure. These blueprints feature pre-selected hardware configurations for NVIDIA GPUs, NIM microservices, and integrated observability tools, significantly reducing AI project timelines from weeks to minutes.
NVIDIA Blueprints further enhance development workflows by offering reference implementations for enterprise AI use cases, enabling developers to customize and scale AI applications with NVIDIA AI Enterprise and NVIDIA Omniverse™. Oracle Cloud Infrastructure Marketplace will soon feature preconfigured NVIDIA Omniverse development workstations, powered by NVIDIA L40S GPUs, to simplify simulation and AI-driven workflows.
Pipefy, an AI-driven automation platform, uses an inference blueprint for document pre-processing and image analysis.
“We embraced OCI AI Blueprints to spin up GPU nodes and deploy multimodal LLMs quickly for document and image processing use cases,” said Gabriel Custódio, principal software engineer, Pipefy. “Using these prepackaged and verified blueprints, deploying our AI models on OCI is now fully automated and significantly faster.”
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Accelerating Real-Time AI with NVIDIA NIM in OCI Data Science
To support real-time AI inference, data scientists can now leverage pre-optimized NVIDIA NIM microservices directly within OCI Data Science. This integration enables seamless AI deployment without complex infrastructure management, making it easier for businesses to implement AI-powered assistants, real-time recommendation engines, and copilots.
With flexible pay-as-you-go pricing or Oracle Universal Credits, enterprises can deploy AI inference endpoints in minutes, ensuring rapid scalability from pilot projects to full-scale AI deployments.
AI Vector Search in Oracle Database 23ai Gets a Boost with NVIDIA
Oracle and NVIDIA are enhancing AI vector search in Oracle Database 23ai by accelerating vector embedding and indexing using NVIDIA GPUs and the cuVS library. Organizations can now efficiently process vast amounts of data, improving AI pipeline performance for high-volume workloads.
DeweyVision, a company specializing in AI-driven media solutions, utilizes Oracle Database 23ai on Oracle Autonomous Database to enhance searchability and workflow automation in the entertainment industry.
“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, DeweyVision. “Using NVIDIA GPUs to create the vector embeddings that we load into Oracle Database accelerates the speed at which we can ingest 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.”
Expanding AI Infrastructure with NVIDIA Blackwell on OCI
Oracle and NVIDIA are continuing to advance AI infrastructure with new NVIDIA GPU offerings across OCI’s public regions, Government Clouds, sovereign clouds, OCI Dedicated Region, Oracle Alloy, OCI Compute Cloud@Customer, and OCI Roving Edge Devices.
These offerings include the latest NVIDIA Quantum-2 InfiniBand networking, NVIDIA Spectrum™ Ethernet switches, and optimized NVIDIA NVLink™ technology, powering some of the industry’s largest AI superclusters. OCI will also introduce NVIDIA GB200 NVL72 systems on OCI Supercluster, offering up to 131,072 GPUs, making it one of the most powerful cloud-based AI supercomputers available.
OCI will be among the first cloud service providers to offer the next-generation NVIDIA Blackwell accelerated computing platform, featuring the NVIDIA GB300 NVL72 rack-scale solution and the NVIDIA HGX™ B300 NVL16 system. The GB300 NVL72 delivers 1.5x more AI performance than its predecessor, ensuring industry-leading compute power for AI workloads.
SoundHound AI, a global leader in voice AI, processes billions of queries annually using OCI and NVIDIA GPUs to provide seamless voice-driven interactions.
“SoundHound AI 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, SoundHound AI. “We’re excited to take advantage of the various GPUs and use them to train our next generation of voice AI.”
With this collaboration, Oracle and NVIDIA are setting new benchmarks for enterprise AI, equipping businesses with cutting-edge tools to accelerate AI adoption and drive transformative innovations worldwide.
