AUSTIN, Texas and SAN JOSE, Calif. - Oracle (NYSE:ORCL) and NVIDIA (NASDAQ:NVDA) have announced an expansion of their partnership to provide AI solutions aimed at enhancing digital sovereignty for governments and enterprises globally. This collaboration combines Oracle's cloud and AI infrastructure with NVIDIA's accelerated computing and AI software to enable the deployment of AI factories, which can operate within secure premises and adhere to a country's operational controls.
The initiative aims to empower countries and organizations to manage their proprietary data while leveraging AI technologies without compromising security. Oracle CEO Safra Catz emphasized the importance of digital sovereignty in protecting valuable data as AI continues to transform various sectors. NVIDIA CEO Jensen Huang highlighted the cultural and economic significance of data sovereignty in the context of generative AI-driven innovation.
Oracle's Enterprise AI is deployable across multiple platforms, including OCI Dedicated Region and Oracle Government Cloud, offering customers a sophisticated AI solution with enhanced control over operations, location, and security. The collaboration allows for the deployment of these solutions either via the public cloud or within a customer's data center, providing flexibility in operations.
The companies are also integrating NVIDIA's latest Grace Blackwell computing platform into OCI Supercluster and OCI Compute to meet the growing demands of AI models. This new platform is expected to deliver significant performance improvements, lower total cost of ownership, and reduced energy consumption compared to previous generations of GPUs.
Clients like Avaloq and TEAM IM have already adopted Oracle's cloud services to maintain control over data residency while accessing advanced cloud infrastructure. Telecom company e& UAE plans to enhance its AI capabilities by deploying NVIDIA H100 Tensor Core GPU clusters in its OCI Dedicated Region.
Furthermore, NVIDIA Grace Blackwell is being introduced to NVIDIA DGX Cloud on OCI to support the development of complex AI models. This move is aimed at providing energy-efficient training and inference capabilities for large language models.
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