Oracle NVIDIA AI Collaboration
- GTC—Oracle and NVIDIA have announced a groundbreaking integration aimed at accelerating the creation of agentic AI applications for organizations worldwide.
- The integration between Oracle Cloud Infrastructure (OCI) and the NVIDIA AI Enterprise software platform brings over 160 AI tools and more than 100 NVIDIA NIM™ microservices directly to...
- Furthermore, Oracle and NVIDIA are collaborating on the no-code deployment of both Oracle and NVIDIA AI Blueprints.
Oracle and NVIDIA AI integrations Streamline Agentic AI for Enterprises
Table of Contents
- Oracle and NVIDIA AI integrations Streamline Agentic AI for Enterprises
- Oracle and NVIDIA AI Integrations: Q&A for Enterprises
- 1. What is the main goal of the Oracle and NVIDIA integration?
- 2.How does the integration of OCI and NVIDIA AI enterprise benefit users?
- 3. What are NVIDIA NIM microservices, and how are they used in this integration?
- 4. How are Oracle and NVIDIA collaborating on AI vector search?
- 5. What are Oracle AI Blueprints and NVIDIA AI Blueprints?
- 6. What is agentic AI, and how does this partnership enhance it?
- 7. What benefits does NVIDIA Accelerated Computing bring to AI Vector Search in Oracle Database 23ai?
- 8. What is NVIDIA Blackwell, and how will it be implemented on OCI?
- 9. What is oracle’s Distributed Cloud strategy, and how does it support AI initiatives?
- 10. What are some real-world applications or use cases that benefit from this integration?
- 11. Key Components and Benefits Summary
GTC—Oracle and NVIDIA have announced a groundbreaking integration aimed at accelerating the creation of agentic AI applications for organizations worldwide. This collaboration combines NVIDIA’s accelerated computing and inference software with Oracle’s AI infrastructure and generative AI services.
OCI and NVIDIA AI Enterprise Integration
The integration between Oracle Cloud Infrastructure (OCI) and the NVIDIA AI Enterprise software platform brings over 160 AI tools and more than 100 NVIDIA NIM™ microservices directly to the OCI Console. This allows for streamlined access and deployment of critical AI resources.
Furthermore, Oracle and NVIDIA are collaborating on the no-code deployment of both Oracle and NVIDIA AI Blueprints. They are also working to accelerate AI vector search in Oracle Database 23ai using the NVIDIA cuVS library.
Executive Perspectives
According to Safra Catz, CEO of Oracle, “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 buisness results. 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, added, “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.”
Purpose-Built AI Solutions
By making NVIDIA AI Enterprise natively available through the OCI Console, the deployment time for reasoning models is substantially reduced. Customers gain speedy and easy access to AI tools,including NVIDIA NIM,which offers over 100 optimized,cloud-native inference microservices for leading AI models,such as the latest NVIDIA Llama Nemotron models.
NVIDIA AI Enterprise will be accessible as a deployment image for OCI bare-metal instances and Kubernetes clusters via OCI Kubernetes Engine. OCI Console customers will benefit from direct billing and customer support through Oracle.
NVIDIA Accelerated Computing Platform Turbocharges AI Vector search in Oracle Database 23ai
Oracle and NVIDIA are collaborating to speed up the creation of vector embeddings and vector indexes, which are compute-intensive components of AI Vector Search workloads in Oracle Database 23ai. This acceleration is achieved using NVIDIA GPUs and NVIDIA cuVS.
Organizations can now perform bulk vectorization of large datasets, including text, images, and videos, and rapidly create and maintain vector indexes. NVIDIA-accelerated AI Vector Search allows Oracle Database customers to substantially improve the performance of their AI pipelines, supporting high-volume AI vector workloads.
DeweyVision, a provider of advanced computer vision and AI capabilities, uses Oracle Database 23ai on Oracle Autonomous Database for its AI-powered, no-code warehousing tools.These tools enable production professionals to streamline workflows and quickly edit video footage by cataloging footage in minutes and offering intuitive search capabilities.
Majid Bemanian, CEO of DeweyVision, stated, “Oracle Database 23ai with AI Vector Search can significantly increase Dewey’s search performance while increasing the scalability of the DeweyVision platform. 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 are continuously enhancing 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.
OCI will offer NVIDIA GB200 NVL72 systems on OCI supercluster, with up to 131,072 NVIDIA GPUs, and is accepting 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 blackwell architecture, 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,and increases Blackwell’s revenue opportunity by 50x for AI factories,compared with those built with NVIDIA hopper™.
SoundHound, a global leader in conversational intelligence, uses OCI and NVIDIA GPUs to power its voice AI platform, processing billions of queries annually. James Hom, chief product officer of SoundHound AI, noted, “SoundHound has developed a long-term relationship with OCI, and we believe our ongoing collaboration will play a key role in supporting future growth. NVIDIA gpus will greatly accelerate training for our next generation of voice AI.”
Oracle Distributed Cloud
Oracle’s distributed cloud provides the benefits of cloud computing with enhanced control and flexibility.The Oracle distributed cloud lineup includes:
- Public cloud: Hyperscale public cloud regions serving organizations of all sizes, including those requiring strict EU sovereignty controls.
- Dedicated cloud: Customers can run all OCI cloud services in their own data centers with OCI Dedicated Region,while partners can resell OCI cloud services and customize the experience using Oracle Alloy.
- Hybrid cloud: OCI delivers key cloud services on-premises via Oracle Exadata Cloud@Customer and Compute Cloud@Customer, managing deployments in over 60 countries.
- Multicloud: OCI is physically deployed within all the hyperscale cloud providers, including AWS, Google Cloud, and Microsoft Azure, providing low-latency, natively integrated Oracle database services.
Oracle and NVIDIA AI Integrations: Q&A for Enterprises
1. What is the main goal of the Oracle and NVIDIA integration?
Answer: The primary goal of the Oracle and NVIDIA integration is to accelerate the development and deployment of agentic AI applications for organizations.by combining NVIDIA’s accelerated computing and inference software with Oracle’s AI infrastructure and generative AI services,the collaboration aims to streamline AI adoption and help customers extract more value from their data.
2.How does the integration of OCI and NVIDIA AI enterprise benefit users?
Answer: The integration between oracle Cloud Infrastructure (OCI) and NVIDIA AI Enterprise offers several benefits:
Streamlined Access: Provides direct access to over 160 AI tools and more than 100 NVIDIA NIM™ microservices within the OCI Console.
Simplified Deployment: Facilitates no-code deployment of Oracle and NVIDIA AI Blueprints.
Accelerated AI Vector Search: Speeds up AI vector search in Oracle Database 23ai using the NVIDIA cuVS library.
Reduces deployment time: Significantly reduces the deployment time for reasoning models.
Direct Support and Billing: OCI console customers benefit from direct billing and customer support through Oracle.
3. What are NVIDIA NIM microservices, and how are they used in this integration?
Answer: NVIDIA NIM microservices are optimized, cloud-native inference microservices designed for leading AI models. The integration makes over 100 NVIDIA NIM microservices available through the OCI Console. This provides speedy and easy access to AI tools, including the latest NVIDIA Llama Nemotron models.
4. How are Oracle and NVIDIA collaborating on AI vector search?
Answer: Oracle and NVIDIA are working together to speed up the creation of vector embeddings and vector indexes in Oracle Database 23ai. This is achieved by using NVIDIA gpus and NVIDIA cuVS (NVIDIA cuVS Library), which accelerates compute-intensive components of AI Vector Search workloads.
5. What are Oracle AI Blueprints and NVIDIA AI Blueprints?
Answer: Both Oracle and NVIDIA AI Blueprints are no-code deployment solutions. The companies are collaborating to facilitate easy, no-code deployment of both Oracle and NVIDIA AI Blueprints. These streamlined workflows simplify the deployment process, making advanced AI capabilities more accessible to a wider range of users.
6. What is agentic AI, and how does this partnership enhance it?
Answer: Agentic AI refers to AI systems capable of autonomous decision-making and action. The partnership between Oracle and NVIDIA enhances agentic AI by providing the necessary infrastructure,tools,and software to build and deploy these sophisticated AI applications more efficiently. NVIDIA’s accelerated computing combined with Oracle’s AI infrastructure and services provides a robust platform for reasoning and innovation.
7. What benefits does NVIDIA Accelerated Computing bring to AI Vector Search in Oracle Database 23ai?
Answer: NVIDIA Accelerated Computing enhances AI vector Search in Oracle Database 23ai by:
Speeding up vector embedding creation: Enables quicker conversion of data into vector representations.
Accelerating vector index creation: Facilitates rapid building and maintenance of vector indexes.
Improving AI pipeline performance: Significantly boosts the performance of AI pipelines,supporting high-volume AI vector workloads.
Enabling bulk vectorization: Allows organizations to perform bulk vectorization of large datasets, improving efficiency.
8. What is NVIDIA Blackwell, and how will it be implemented on OCI?
Answer: NVIDIA Blackwell is the next generation of NVIDIA’s accelerated computing platform. OCI (Oracle Cloud Infrastructure) will be among the first cloud service providers to offer this platform, including NVIDIA GB200 NVL72 systems on OCI superclusters capable of supporting up to 131,072 NVIDIA GPUs. The NVIDIA Blackwell Ultra GPUs and the GB300 NVL72 solution which delivers 1.5x more AI performance than its predecessor for AI factories.
9. What is oracle’s Distributed Cloud strategy, and how does it support AI initiatives?
Answer: Oracle’s distributed cloud strategy aims to provide the benefits of cloud computing with enhanced control and versatility through:
Public Cloud: Hyperscale regions serving organizations of all sizes.
Dedicated Cloud: Running OCI cloud services in customer-owned data centers with OCI Dedicated Region and Oracle Alloy.
Hybrid Cloud: Delivering key cloud services on-premises via Oracle Exadata Cloud@Customer and Compute Cloud@Customer.
Multicloud: Deploying OCI within hyperscale cloud providers like AWS, Google Cloud, and Microsoft Azure for low-latency Oracle database services.
This distributed approach allows organizations to deploy AI solutions in the environments that best meet their needs regarding performance, compliance, and sovereignty.
10. What are some real-world applications or use cases that benefit from this integration?
Answer: The Oracle and NVIDIA integration benefits a wide range of real-world applications, including:
Computer Vision: DeweyVision uses Oracle Database 23ai on oracle Autonomous Database to streamline video editing workflows with AI-powered, no-code warehousing tools.
Conversational AI: SoundHound utilizes OCI and NVIDIA GPUs to power its voice AI platform, processing billions of queries annually.
General Agentic AI applications: Building and deploying AI agents more efficiently with reduced deployment times
11. Key Components and Benefits Summary
| Feature | Description | Benefit |
| ————————— | ———————————————————————————————————- | —————————————————————————————————– |
| NVIDIA AI Enterprise | Suite of AI tools and microservices | Streamlined access and deployment of AI resources |
| NVIDIA NIM Microservices | Optimized, cloud-native inference microservices | Speedy access to leading AI models, such as NVIDIA Llama Nemotron |
| NVIDIA cuVS | NVIDIA cuVS Library | Accelerates AI vector search in Oracle Database 23ai |
| NVIDIA Blackwell | Next-generation accelerated computing platform | Enhanced AI performance and scalability in OCI |
| Oracle Distributed Cloud | Public cloud, Dedicated cloud, Hybrid cloud, multicloud | Flexibility in AI deployment based on specific organizational needs and requirements |
| Oracle Database 23ai | Database designed to perform bulk vectorization of text, images, and videos large data sets with AI Vector Search | Organizations can rapidly create and maintain Vector Indexes supporting high-volume AI vector workloads |