DriveNets AI Fabric connects two WhiteFiber H200 GPU clusters data centers 52 miles apart into a single GPU supercluster, freeing AI infrastructure from single-site power constraints while delivering 111.2 Tbps of bandwidth with sub-millisecond latency RA’ANANA, Israel, July 9, 2026 — DriveNets, a leader in high-scale networking solutions, today announced the industry’s first commercial deployment […] The post DriveNets Debuts Commercial Long-Distance Scale-Across AI Supercluster appeared first on HPCwire .
The increasing scale and resource demands of AI models are pushing the limits of single-site data centers, necessitating innovative solutions for distributed AI infrastructure.
This development addresses critical constraints in AI compute infrastructure, enabling larger, geographically dispersed AI superclusters that can access greater power and resources, accelerating AI development.
AI infrastructure is no longer strictly bound by the physical and power limitations of a single location, allowing for more flexible and scalable deployments for compute-intensive tasks.
- · AI compute providers
- · Hyperscalers
- · Networking hardware companies
- · GPU manufacturers
- · Companies reliant on obsolete single-site data center architectures
Increased operational flexibility and reduced energy constraints for large-scale AI training and inference.
Accelerated development and deployment of more complex and resource-intensive AI models.
Potential for new regional AI infrastructure hubs to emerge, leveraging distributed compute capabilities.
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