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Industrials
In recent years, the field of artificial intelligence (AI) has seen unprecedented growth, with companies like Oracle and NVIDIA at the forefront of innovation. Building on this momentum, Oracle and NVIDIA have announced a landmark collaboration aimed at revolutionizing the development, deployment, and scaling of AI applications. This partnership combines the strengths of Oracle's Cloud Infrastructure (OCI) with NVIDIA's cutting-edge AI technologies to transform how enterprises harness the power of AI.
Oracle and NVIDIA's collaboration integrates NVIDIA's accelerated computing and inference software with Oracle's AI infrastructure, enhancing the speed and ease of developing agentic AI applications. This integration makes over 160 AI tools and more than 100 NVIDIA NIM microservices available directly through the OCI Console. Such an integration streamlines access to AI technologies for enterprises, allowing them to leverage Oracle's flexibility, scalability, performance, and security, paired with NVIDIA's accelerated computing capabilities[1][2].
Oracle CEO Safra Catz highlighted the strategic importance of this partnership, noting that Oracle has become the preferred platform for both AI training and inference. "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," she said[1][3].
NVIDIA co-founder and CEO Jensen Huang also underscored the synergy between the two companies: "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"[1][2].
One of the most significant aspects of this partnership is the introduction of no-code AI Blueprints. These blueprints provide pre-configured recipes that allow customers to deploy AI workloads quickly without worrying about the underlying software stack or infrastructure provisioning. With clear recommendations for hardware like NVIDIA GPUs, NIM microservices, and observability tools, enterprises can significantly reduce deployment times from weeks to minutes[1][5].
[left photo: Developers using AI Blueprints]
For instance, Pipefy, an AI-powered automation platform, has used OCI AI Blueprints to automate the deployment of its AI models for document and image processing tasks. This automation not only speeds up deployment but also reduces manual errors, enabling faster time-to-market for AI applications[1].
Another critical area of collaboration is the acceleration of AI vector search in Oracle Database 23ai. By leveraging NVIDIA GPUs and the NVIDIA cuVS library, Oracle Database customers can significantly enhance the performance of their AI pipelines. This is particularly important for industries like media and entertainment, where high-volume AI workloads are common[3][4].
The partnership offers enterprises the flexibility to deploy AI solutions across a range of environments, including public clouds, government clouds, sovereign clouds, dedicated regions, and edge devices. This flexibility is crucial for companies that need to handle diverse data sovereignty, security, and compliance requirements. For example, Soley Therapeutics, a biotech firm, uses this integration to accelerate AI-driven drug discovery, benefiting from the scalability and performance provided by Oracle and NVIDIA's combined offerings[2][5].
NVIDIA AI Enterprise will be natively available through the OCI Console, providing real-time AI inference capabilities. This setup allows data scientists to access pre-optimized NIM microservices directly in OCI Data Science, facilitating real-time AI inference use cases without the complexity of managing infrastructure[4]. Enterprises can now deploy inference endpoints with preconfigured, optimized NIM inference engines in minutes, accelerating the time-to-value for AI applications like AI-powered assistants and real-time recommendation engines[1][3].
The collaboration supports a pay-as-you-go pricing model, allowing enterprises to scale their AI deployments based on demand without significant upfront costs. This flexibility is especially beneficial for organizations that need to manage small workloads initially but plan to scale up over time[1][5].
Oracle's partnership with NVIDIA not only enhances its position in AI infrastructure but also puts it in a strong competitive stance against major cloud providers like AWS, Microsoft, and Google Cloud. Analysts believe this partnership elevates Oracle's credibility in AI tools and model capabilities, providing a comprehensive AI solution that combines NVIDIA's software stack with Oracle's expertise in data management[4].
Looking ahead, the availability of NVIDIA's next-gen Blackwell GPUs on OCI will further boost large-scale AI supercomputing capabilities. This advancement will support complex AI applications across industries, from healthcare to media, enabling organizations to innovate faster and more efficiently at the edge[3][5].
Oracle and NVIDIA's collaboration marks a new era in AI development, leveraging each company's strengths to provide enterprises with a comprehensive, scalable, and secure AI platform. By integrating NVIDIA's AI software stack into OCI, they have set a precedent for seamless AI deployment, empowering businesses to harness the full potential of AI across diverse environments. As the AI landscape continues to evolve, partnerships like these will play a pivotal role in shaping the future of enterprise innovation and efficiency.
[Image Caption: Oracle and NVIDIA logos]
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