Oracle and NVIDIA join forces to revolutionize enterprise AI: Oracle Cloud Infrastructure (OCI) and NVIDIA have announced a significant collaboration to enhance AI and data processing capabilities for enterprises, with plans to deploy cutting-edge GPU technology and infrastructure solutions.
Zettascale supercomputing comes to the cloud: OCI is set to introduce the first zettascale OCI Supercluster, powered by NVIDIA’s Blackwell platform, offering unprecedented computational power for AI workloads.
- The new system will utilize over 100,000 of NVIDIA’s latest-generation GPUs, providing up to 2.4 zettaflops of peak AI compute.
- Deployment options include on-premises, public cloud, and sovereign cloud environments, offering flexibility for diverse enterprise needs.
- Availability is expected in the first half of next year, marking a significant leap in cloud-based AI computing capabilities.
Advanced GPU instances for AI applications: Oracle is expanding its offerings with new GPU-accelerated instances to cater to various AI workloads and requirements.
- NVIDIA GB200 NVL72 liquid-cooled bare-metal instances are being previewed, designed for large-scale training and real-time inference of trillion-parameter models.
- OCI will offer NVIDIA HGX H200 instances, connecting eight H200 Tensor Core GPUs in a single bare-metal instance, scalable up to 65,536 GPUs.
- NVIDIA L40S GPU-accelerated instances are now generally available for midrange AI workloads, NVIDIA Omniverse, and visualization tasks.
Edge AI solutions for diverse environments: Oracle is enhancing its edge offerings with NVIDIA GPU acceleration, enabling AI deployment in remote and disconnected locations.
- Smaller-scale deployments using Oracle’s Roving Edge Device v2 will support up to three NVIDIA L4 Tensor Core GPUs, bringing powerful AI capabilities to the edge.
- This expansion allows for scalable AI solutions from single-node to multi-rack configurations, catering to various enterprise needs.
Accelerating database workloads with GPU support: Oracle Autonomous Database is integrating NVIDIA GPU support to enhance data processing capabilities.
- Oracle Machine Learning notebooks will leverage NVIDIA GPUs to accelerate workloads within Oracle Autonomous Database.
- Demonstrations at Oracle CloudWorld showcase how NVIDIA GPUs can accelerate vector embeddings, graph index generation, and inference for text generation and translation.
Sovereign AI infrastructure worldwide: NVIDIA and Oracle are collaborating to address data residency needs for governments and enterprises globally.
- Brazilian startup Wide Labs trained the Amazonia IA language model using NVIDIA H100 GPUs in OCI’s Brazilian data centers.
- Nomura Research Institute in Japan is utilizing OCI’s Alloy infrastructure with NVIDIA GPUs to enhance its financial AI platform.
- Zoom will use NVIDIA GPUs in OCI’s Saudi Arabian data centers to support compliance with local data requirements.
Enterprise-ready AI solutions: The collaboration between NVIDIA and Oracle aims to accelerate task automation and AI adoption for enterprises.
- NVIDIA software solutions like NIM microservices and cuOpt are being integrated with OCI’s cloud solutions.
- The NVIDIA AI Enterprise software platform, available on the Oracle Cloud Marketplace, includes various tools to support AI development and deployment.
Looking ahead: Implications for enterprise AI: This partnership between Oracle and NVIDIA represents a significant step forward in making advanced AI capabilities more accessible to enterprises of all sizes.
- The introduction of zettascale computing in the cloud could dramatically accelerate AI research and development across industries.
- Improved sovereign AI infrastructure may lead to increased adoption of AI technologies in regions with strict data residency requirements.
- As these technologies become more widely available, we may see a surge in AI-driven innovation and transformation across various sectors.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...