DriveNets Announces Commercial Deployment of Long-Range Scale-Across AI Supercluster
NQ Score
99/100
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10
AI Summary (NQ-processed)
DriveNets has announced the commercial deployment of a long-range scale-across AI networking solution, enabling two geographically separated GPU clusters to operate as a single logical supercluster. Verified in WhiteFiber's Project Redwood, the solution delivers 111.2 Tbps bandwidth and 0.9 ms guaranteed latency across 52 miles.
AI Analysis
Frequently Asked Questions
- Q: What is scale-across architecture?
- A: A networking approach that integrates geographically separated AI clusters into a single logical system.
- Q: What makes DriveNets' solution superior?
- A: It guarantees zero packet loss and low latency over long distances with AI-optimized congestion control.
- Q: What are the main use cases?
- A: Distributed training of large AI models and cluster expansion beyond power-constrained sites.