NVIDIA announced that Meta and Oracle are upgrading their AI data center networks. They will use NVIDIA Spectrum-X™ Ethernet switches. This move will speed up large-scale AI deployments.
Meta and Oracle are using Spectrum-X Ethernet switches. This is part of a fast, open networking setup. It aims to speed up deployment. It boosts AI training and cuts the time for AI workloads to deliver insights.
“Trillion-parameter models are transforming data centers into giga-scale AI factories, and industry leaders like Meta and Oracle are standardizing on Spectrum-X Ethernet to drive this industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “Spectrum-X is not just faster Ethernet it’s the nervous system of the AI factory, enabling hyperscalers to connect millions of GPUs into a single giant computer to train the largest models ever built.”
Oracle Cloud Infrastructure (OCI) will leverage the NVIDIA Vera Rubin architecture and Spectrum-X Ethernet to build giga-scale AI factories capable of supporting next-generation AI applications.
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“Oracle Cloud Infrastructure is designed from the ground up for AI workloads, and our partnership with NVIDIA extends that AI leadership,” said Mahesh Thiagarajan, executive vice president of Oracle Cloud Infrastructure. “By adopting Spectrum-X Ethernet, we can interconnect millions of GPUs with breakthrough efficiency so our customers can more quickly train, deploy and benefit from the next wave of generative and reasoning AI.”
Meta will add Spectrum-X Ethernet switches to its Facebook Open Switching System (FBOSS). This software platform controls network switches on a large scale. This integration speeds up AI model training and deployment. It boosts efficiency and lowers operational complexity.
“Meta’s next-generation AI infrastructure requires open and efficient networking at a scale the industry has never seen before,” said Gaya Nagarajan, vice president of networking engineering at Meta. “By integrating NVIDIA Spectrum Ethernet into the Minipack3N switch and FBOSS, we can extend our open networking approach while unlocking the efficiency and predictability needed to train ever-larger models and bring generative AI applications to billions of people.”
This collaboration underscores the growing reliance of hyperscalers on high-performance Ethernet solutions like Spectrum-X to support massive AI workloads, marking a critical step forward in the evolution of data center infrastructure for generative AI and large-scale machine learning.