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NVIDIA and Oracle Join Forces to Boost Enterprise AI and Data Processing Performance

by Sophie Lin - Technology Editor


Oracle and NVIDIA Accelerate Enterprise AI with new Zettascale10 Cluster

The landscape of Artificial Intelligence is undergoing a dramatic shift as Oracle and NVIDIA collaborate to deliver unprecedented computing power to enterprises. The announcement, made at Oracle AI World, centers around the OCI Zettascale10, a new computing cluster poised to redefine the capabilities of AI inference and training.

Unprecedented Computing Power: Introducing OCI Zettascale10

Oracle has revealed the OCI Zettascale10, a groundbreaking computing cluster engineered to accelerate high-performance Artificial Intelligence workloads. This innovative system is equipped with NVIDIA GPUs and promises to deliver up to 16 zettaflops of peak AI compute performance. Crucially, it utilizes NVIDIA Spectrum-X Ethernet, a pioneering Ethernet platform specifically designed for the demands of AI, allowing for efficient interconnection of millions of GPUs.

According to Mahesh Thiagarajan, Executive vice President of Oracle Cloud Infrastructure, this partnership is a “force multiplier” for customer success in the rapidly evolving AI market. He emphasized that the OCI Zettascale10, combined with NVIDIA’s GPU platform, provides significant multi-gigawatt capacity for even the most demanding AI applications. The integration of NVIDIA AI Enterprise with OCI aims to offer customers a comprehensive AI toolkit within the broader context of Oracle’s extensive cloud services.

Accelerating AI Database Workloads with Oracle Database 26ai

Oracle is also substantially enhancing its flagship database, Oracle Database 26ai, to better handle the growing demands of AI. The database now supports integration with NVIDIA NeMo Retriever, enabling developers to readily implement vector embedding models and Retrieval-Augmented Generation (RAG) pipelines leveraging NVIDIA NIM microservices. This streamlines the process of building and deploying advanced AI applications directly within the database surroundings.

Moreover, Oracle Private AI Services Container is being expanded to accommodate NVIDIA GPUs for tasks such as vector embedding and index generation, utilizing the NVIDIA cuVS open-source library. This enhancement will significantly accelerate index build times, a common bottleneck in vector database operations.

Boosting Data Pipelines with the oracle AI Data Platform

The recently unveiled Oracle AI Data Platform is also benefiting from NVIDIA’s accelerated computing capabilities. The platform incorporates a built-in NVIDIA GPU option and the NVIDIA RAPIDS Accelerator for Apache Spark plug-in. This combination promises faster analytics, enhanced data processing, and accelerated machine learning pipelines-all without requiring code modifications.

Advancements in Video Understanding and Document Intelligence

Oracle Media and Entertainment is actively leveraging NVIDIA NeMo Curator and the Nemotron vision language model (VLM) to improve video understanding capabilities. This integration automates key pre-processing steps, improving scalability and efficiency in video-centric AI workflows. Similarly, NVIDIA NeMo Retriever Parse is enhancing Oracle Fusion Document Intelligence, enabling more accurate and efficient extraction of facts from complex documents.

The oracle AI Hub now offers a streamlined platform for building, deploying, and managing custom AI solutions, with the ability to deploy NVIDIA NIM microservices through a simplified, no-code interface.

NVIDIA AI Enterprise Now Native on OCI

Enterprises now have direct access to NVIDIA AI Enterprise natively integrated within Oracle Cloud Infrastructure. This integration simplifies access to NVIDIA’s suite of AI software tools and frameworks, streamlining the development and deployment of AI solutions while providing robust enterprise support. It is available across oracle’s distributed cloud infrastructure, including public regions and dedicated environments for enhanced security and compliance.

Feature Description
OCI Zettascale10 New cluster delivering up to 16 zettaflops of AI compute performance.
Oracle Database 26ai Enhanced with NVIDIA NeMo Retriever integration for faster AI workloads.
Oracle AI Data Platform Incorporates NVIDIA GPUs and RAPIDS accelerator for Apache Spark.
NVIDIA AI Enterprise Now natively available within OCI for simplified AI development.

The Growing Importance of AI Infrastructure

The demand for robust AI infrastructure continues to escalate as businesses across all sectors increasingly rely on Artificial Intelligence to drive innovation and improve efficiency. According to a recent report by Gartner, the global AI software market is projected to reach $62.5 billion in 2024, representing a 21% increase from 2023. The need for specialized hardware and software, like that offered by Oracle and NVIDIA, is thus becoming paramount.

Did you know? The number of AI models deployed in production is expected to triple by 2026, further underscoring the need for scalable AI infrastructure.

Pro Tip: When evaluating AI infrastructure, consider factors such as scalability, cost-effectiveness, and integration with existing systems.

Frequently Asked Questions About Oracle and NVIDIA’s AI Collaboration

  • What is OCI Zettascale10? It is indeed Oracle’s new computing cluster designed to accelerate AI inference and training, delivering up to 16 zettaflops of performance.
  • How does NVIDIA NeMo Retriever enhance Oracle Database 26ai? It enables developers to easily implement vector embedding models and RAG pipelines for faster AI workloads.
  • What benefits does NVIDIA RAPIDS Accelerator bring to the Oracle AI Data Platform? It accelerates analytics, data processing, and machine learning pipelines in Apache Spark.
  • What is NVIDIA AI Enterprise on OCI? It provides enterprises with simplified access to NVIDIA’s AI software tools integrated within the Oracle Cloud Infrastructure.
  • How does this collaboration benefit AI developers? It offers a comprehensive toolkit and streamlined deployment options, reducing complexity and accelerating development cycles.
  • What impact will these advancements have on video analytics? The integration of NVIDIA NeMo Curator and Nemotron VLM will improve the scalability and efficiency of video-centric AI workflows.
  • Is this offering available globally? NVIDIA AI Enterprise on OCI is available across Oracle’s distributed cloud infrastructure, including public regions and dedicated environments.

Are you prepared for the next wave of AI innovation? What challenges does your organization face in adopting and scaling AI solutions?

Share your thoughts in the comments below and join the discussion!


What AI/data analytics workloads are specifically targeted for acceleration through the NVIDIA and Oracle partnership?

NVIDIA and Oracle Join Forces to Boost Enterprise AI and Data Processing Performance

The Power Partnership: NVIDIA & Oracle

Oracle and NVIDIA have announced a strategic collaboration designed to accelerate enterprise adoption of Artificial Intelligence (AI) and high-performance data analytics. This isn’t just a partnership; it’s a convergence of strengths – Oracle’s dominance in database management and enterprise infrastructure with NVIDIA’s leadership in accelerated computing and AI platforms. The core aim? To deliver substantially faster and more efficient solutions for demanding workloads. This collaboration directly addresses the growing need for scalable AI infrastructure and optimized data processing within large organizations.

Key Components of the Collaboration

The partnership focuses on several key areas, fundamentally reshaping how enterprises approach AI and data management:

* NVIDIA GPUs on Oracle Cloud Infrastructure (OCI): The integration of NVIDIA’s latest generation GPUs – including the H100 and future generations like the Blackwell architecture – directly into OCI provides customers with access to unparalleled compute power. This is crucial for training large language models (LLMs), running complex simulations, and accelerating data science workflows. OCI is becoming a prime location for GPU cloud computing.

* Optimized Software Stack: Oracle is optimizing its database, analytics, and application stacks to fully leverage NVIDIA’s AI capabilities. This includes enhancements to Oracle Database, Oracle Analytics Cloud, and Oracle Fusion Applications.Expect to see improved performance in areas like real-time analytics, fraud detection, and personalized customer experiences.

* Accelerated Computing for Oracle Database: A major focus is accelerating Oracle Database workloads using NVIDIA GPUs. This means faster query processing, improved transaction speeds, and the ability to handle larger datasets with greater efficiency. This is particularly relevant for organizations dealing with massive database acceleration needs.

* Joint Development & Innovation: Oracle and NVIDIA are collaborating on joint development efforts to create new AI-powered solutions tailored to specific industry verticals. This collaborative approach ensures solutions are not just technologically advanced but also address real-world business challenges.

Benefits for Enterprises

This partnership translates into tangible benefits for businesses across various sectors:

* reduced Costs: By leveraging the power of NVIDIA GPUs and optimized software, enterprises can significantly reduce the cost of running AI and data analytics workloads. this is achieved through improved efficiency and reduced infrastructure requirements.

* Faster Time to Insights: Accelerated data processing and AI capabilities enable organizations to extract insights from their data faster, leading to quicker decision-making and a competitive advantage. Real-time data analytics become more attainable.

* Scalability & Flexibility: OCI provides a scalable and flexible infrastructure that can adapt to changing business needs. enterprises can easily scale their AI and data analytics resources up or down as required.

* Enhanced Security: OCI is known for its robust security features, providing a secure environment for sensitive data and AI workloads. Secure AI infrastructure is a key concern for many organizations.

* Simplified Deployment: The integrated nature of the solution simplifies deployment and management, reducing the burden on IT teams.

Specific Use Cases & Industry Applications

The NVIDIA-Oracle partnership is poised to impact a wide range of industries:

* Financial Services: Fraud detection, risk management, algorithmic trading, and customer personalization. The need for AI in finance is driving demand for these solutions.

* Healthcare & Life Sciences: Drug discovery, medical imaging analysis, personalized medicine, and patient care optimization. AI for healthcare is a rapidly growing field.

* Retail & E-commerce: Personalized recommendations, supply chain optimization, demand forecasting, and customer churn prediction.

* Manufacturing: Predictive maintenance, quality control, process optimization, and robotics.Industrial AI is becoming increasingly significant.

* Telecommunications: Network optimization, customer experience management, and fraud prevention.

Oracle Cloud Infrastructure (OCI) – A Closer Look

OCI is a key enabler of this partnership. Here’s what makes it stand out:

* Bare Metal Compute: OCI offers bare metal compute instances with direct access to NVIDIA GPUs, providing maximum performance.

* High-Bandwidth networking: OCI’s high-bandwidth networking infrastructure ensures fast data transfer between GPUs and other resources.

* Exadata Cloud Service: Oracle’s Exadata Cloud Service, now enhanced with NVIDIA GPUs, delivers unparalleled database performance.

* OCI Data Science: A fully managed platform for data scientists to build, train, and deploy machine learning models.

Practical Tips for Leveraging the Partnership

* Evaluate Your Workloads: Identify AI and data analytics workloads that could benefit from GPU acceleration.

* Explore OCI GPU Instances: Familiarize yourself with the diffrent GPU instance types available on OCI.

* Optimize Your Database: Work with Oracle to optimize your database for GPU acceleration.

* Consider a Proof of Concept: Start with a small proof of concept to demonstrate the benefits of the partnership.

* Stay Updated: Keep abreast of the latest developments and new features released by Oracle and NVIDIA.

Real-World Example: Monte Carlo Simulations in Financial modeling

A leading global investment bank utilized OCI with NVIDIA A100

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