NVIDIA GPUs at the Heart of Oracle’s New Enterprise AI Solutions

Publié le 15 October 2025 à 09h19
modifié le 15 October 2025 à 09h19

Technological advancements require a redefinition of AI infrastructures within companies. Oracle, in collaboration with NVIDIA, is reinventing the landscape of enterprise solutions through an unprecedented synergy between hardware and software.

A new cluster, the OCI Zettascale10, promises unprecedented AI performance and seamless application integration.

These innovations allow for optimizing data usage while enhancing security. Companies can now leverage artificial intelligence without compromising the confidentiality of their information.

Expansion of Collaboration between Oracle and NVIDIA

Oracle and NVIDIA have strengthened their partnership to optimize AI services for enterprises. This synergy was unveiled during the Oracle AI World event, showcasing spectacular advancements in both hardware and software.

Revolutionary Hardware: the OCI Zettascale10 Cluster

The highlight of this announcement lies in the creation of the new OCI Zettascale10 cluster. Powered by NVIDIA GPUs, this system is specifically designed for AI workloads that exceed the capabilities of traditional servers. With a potential of 16 zettaflops, it promises unrivaled computing performance.

The connection with NVIDIA Spectrum-X Ethernet ensures smooth and fast data transmission. This eliminates wait times for GPUs, allowing companies to optimize their use of millions of processors.

Advanced Software Integration

Beyond raw power, software integration represents the true heart of this collaboration. The Oracle AI Database 26ai embodies this innovative vision by providing a framework that facilitates the use of AI at the very core of businesses.

It is no longer about moving data to AI models, but about reversing this logic. This new approach guarantees enhanced security and maximized efficiency, placing data at the center of AI processes.

Workflow Management with AI

A standout feature of the Oracle product allows running AI workflows directly within the database. AI agents can process sensitive data while adhering to security standards. Features such as Unified Hybrid Vector Search facilitate contextual analysis across different data formats.

Security and Future Preparedness

Security has not been overlooked. The new system adopts quantum-resistant algorithms, allowing for data protection both in transit and at rest. This proves essential against threats from cyberattacks like “harvest now, decrypt later”.

Facilitating AI Adoption

Meanwhile, the Oracle AI Data Platform which includes an NVIDIA GPU represents a paradigm shift for data scientists. This new tool accelerates data processing without requiring changes to existing code.

These various tools are centralized within the Oracle AI Hub, ensuring easy access to AI solutions. Users can deploy NVIDIA microservices effortlessly, helping reduce barriers to entry in the field of AI.

Impacts on the Enterprise AI Ecosystem

This collaboration highlights the importance of bringing together hardware, data, and software tools into an integrated ecosystem. Oracle and NVIDIA are committed to solving the tangible challenges organizations face when considering adopting AI.

This rapprochement between the two tech giants underscores the advent of an era where AI is within reach of businesses. The ease of use, enhanced security, and robust solutions combined can only encourage a wide range of organizations to take the leap toward full AI integration.

For more information on the implications and challenges facing the AI sector, consider consulting detailed articles on recent interdependencies in the AI industry or on NVIDIA’s compact AI innovations.

Frequently Asked Questions about NVIDIA GPUs and Oracle’s New Enterprise AI Solutions

What are the benefits of NVIDIA GPUs in Oracle’s AI solutions?
NVIDIA GPUs offer significant computing power, accelerating AI-related workloads such as training and inference. This allows companies to optimize their processes, massively process data, and improve the speed of AI-based insights.

How do NVIDIA GPUs improve data security in Oracle’s AI solutions?
The collaboration between Oracle and NVIDIA focuses on integrating advanced security features into both hardware and software, such as quantum-resistant algorithms, ensuring that data remains secure both in transit and at rest.

What is the Oracle AI Database 26ai and how does it utilize NVIDIA GPUs?
The Oracle AI Database 26ai integrates AI capabilities directly into data management, using NVIDIA GPUs to execute complex AI workflows without moving the data, while providing reliable and rapid insights.

How does the OCI Zettascale10 solution work with NVIDIA GPUs?
OCI Zettascale10 is a computing platform that integrates NVIDIA GPUs to handle massive AI workloads, offering up to 16 zettaflops of performance, thereby optimizing data pipelines for enterprise applications.

What are the integration capabilities of NVIDIA tools in the Oracle AI Hub?
The Oracle AI Hub allows users to easily deploy NVIDIA NIM microservices through a no-code interface, facilitating the implementation of AI applications while using NVIDIA tools to enhance the development experience.

How do NVIDIA GPUs optimize the AI model development process?
By integrating NVIDIA GPUs into Oracle’s solutions, developers can benefit from increased speed during training and inference of AI models, often without needing to modify their existing code, which simplifies and accelerates the implementation of AI solutions.

Are Oracle’s new AI solutions suitable for small businesses?
Yes, Oracle’s AI solutions powered by NVIDIA GPUs are designed to be both powerful and scalable, allowing small and large businesses to access advanced AI technologies without requiring disproportionate infrastructure.

What types of use cases can NVIDIA GPUs handle in the OCI environment?
NVIDIA GPUs in the OCI environment can handle various AI use cases, including image recognition, natural language processing, predictive analytics, and many other applications requiring fast and efficient data analysis.

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