Oracle & NVIDIA join forces to boost AI application speed

Oracle and NVIDIA have announced an integration between NVIDIA's accelerated computing and inference software with Oracle's AI infrastructure to assist organisations in expediting the development of agentic AI applications.

The integration between Oracle Cloud Infrastructure (OCI) and NVIDIA AI Enterprise software platform introduces over 160 AI tools and more than 100 NVIDIA NIM microservices directly through the OCI Console. This collaboration extends to the no-code deployment of Oracle and NVIDIA AI Blueprints and accelerates AI vector search within Oracle Database 23ai using 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 Oracle CEO Safra Catz. "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."

Jensen Huang, founder and CEO of NVIDIA, commented, "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. Together, we help enterprises innovate with agentic AI to deliver amazing things for their customers and partners."

NVIDIA's AI Enterprise suite, now available natively through the OCI Console, facilitates swift deployments of reasoning models, featuring NVIDIA NIM's 100+ optimised, cloud-native inference microservices for advanced AI reasoning models.

NVIDIA AI Enterprise will also be available as a deployment image for OCI bare-metal instances and Kubernetes clusters, allowing customers to benefit from integrated billing and customer support through Oracle.

Organisations can leverage OCI's 150+ AI and cloud services with NVIDIA's hardware and software solutions across various environments, aiding in data privacy, sovereign AI, and low-latency requirements.

Soley Therapeutics, a biotechnology firm, uses OCI AI Infrastructure, NVIDIA AI Enterprise, and NVIDIA Blackwell GPUs to develop its AI drug discovery platform, aiming to decode complex cellular languages for disease treatment developments.

"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."

OCI AI Blueprints now allow no-code deployment, enabling customers to swiftly run AI workloads with pre-built infrastructure blueprints, defining hardware recommendations for NVIDIA's tools and services, thereby accelerating enterprises' AI project timelines.

NVIDIA Blueprints offer developers reference workflows, supporting custom AI application development using NVIDIA AI Enterprise, NVIDIA Omniverse software, and related tools. This integration aims to streamline the workflow from initial AI application conceptualisation to execution.

Available later this year, the NVIDIA Omniverse platform will be featured on Oracle Cloud Infrastructure Marketplace. It comes preconfigured with NVIDIA L40S GPUs, aimed at simplifying the creation of AI and physical simulation applications.

Pipefy utilises OCI AI Blueprints to rapidly configure NVIDIA GPU nodes, allowing fast deployment of multimodal large language models for document 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."

The integration further supports direct access to pre-optimised NVIDIA NIM microservices within OCI Data Science, facilitating real-time AI inference tasks with reduced infrastructure management complexity.

This collaboration allows customers to purchase models using a flexible, hourly pricing model or Oracle Universal Credits, ensuring data security as models operate within each customer's OCI tenancy. Enterprises can deploy inference endpoints rapidly, enabling applications such as AI assistants and recommendation engines.

Oracle and NVIDIA have also teamed up to utilise NVIDIA GPUs and NVIDIA cuVS to enhance vector embedding and indexing processes within Oracle Database 23ai, improving AI Vector Search capabilities to assist with high-volume workloads.

DeweyVision, a company specialising in computer vision and AI features for media management, utilizes Oracle Database 23ai for no-code AI-powered tools, enhancing media data accessibility and operability.

"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."

The collaboration extends to new NVIDIA GPU types being made available across multiple OCI environments, including public clouds, government clouds, and OCI's Supercluster with orders being taken for AI supercomputers equipped with NVIDIA Blackwell Ultra GPUs.

SoundHound offers conversational AI solutions running on OCI with NVIDIA GPUs, handling billions of queries to deliver fast, accurate 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."