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Nvidia Spectrum XGS Ethernet links connect different data centers, turning them into one large AI super factory. This setup allows separate facilities to work together as a single computing system under a common network control system. This lets data centers grow past a single building. They will no longer be limited by power, space, or cooling and can expand across cities and countries. NVIDIA made Spectrum XGS Ethernet (a high-speed network system that links many data centers so they work together like one large, reliable computer), so AI work can run reliably over long distances.
Scale Across
The platform adds scale across to existing scale-up and scale-out methods. It adjusts network traffic based on distance, keeps delays low and steady, and monitors performance from end to end. These features keep data moving smoothly and make work that uses many computers run faster across different data centers. CoreWeave will use Spectrum XGS Ethernet to join its sites and offer unified gigascale services to customers.
Network Design
Spectrum XGS Ethernet pairs Spectrum X switches with ConnectX 8 SuperNICs and leverages silicon photonics and co-packaged optics for higher bandwidth density and lower energy use. This combination supports large GPU counts and multi-tenant deployments that require steady performance. NVIDIA integrates hardware with software libraries to speed distributed training and inference.
Market Effects
Organizations can now plan compute across multiple facilities rather than build single larger sites. This will help manage energy and space constraints and accelerate very large training and inference jobs. The platform delivers nearly doubled collective communications performance compared with typical Ethernet, making multi-site AI more routine. Early hyperscale adoption shows the approach is ready for production.
The Spectrum XGS Ethernet is available now as part of the Spectrum X platform. NVIDIA positions the offering as a core element in the future of AI infrastructure. NVIDIA Spectrum XGS Ethernet is shipping now to partners and customers, and it gives cloud providers a clear path to assemble unified AI factories across many sites.
