BVQ° UNLOCKS CISCO NEXUS LAN

The demands on modern data centers are increasing – especially due to AI workloads that process massive amounts of data in real time. With the new BVQ° platform integration for Cisco Nexus LAN under NX-OS, a crucial step toward AI-readiness is achieved: Layer 2 network data becomes visible, analyzable and embedded into the overall infrastructure context. 

Technical Foundation

BVQ° captures and correlates MAC addresses, VLANs, port utilization, CPU load and transceiver statistics directly from Cisco Nexus switches. The data is read under NX-OS and visualized in real time. This enables precise evaluation of network paths, redundancies and load distribution – essential for AI scenarios. 

Detailed AI Use Cases

• Distributed Deep Learning 
  Training data is exchanged between GPU nodes via RDMA or NVMe over TCP.  
  Benefit: BVQ° detects whether interconnects are overloaded or if the topology has bottlenecks that limit training throughput. 
   
• Real-Time Inference for Edge AI 
  Applications such as video analysis or speech processing require guaranteed latency. 
  Benefit: BVQ° identifies critical paths and enables prioritization of inference traffic via VLAN tagging and QoS mechanisms. 
   
• AI-Based Storage Tiering 
  Data is dynamically moved between fast NVMe and capacity-optimized storage solutions.  
  Benefit: BVQ° shows whether the network paths between storage and compute deliver the required performance – and where optimization potential exists. 
   
• Data Lake Ingestion for ML Pipelines 
  Large volumes of data must be efficiently ingested from distributed sources. 
  Benefit: BVQ° detects whether ports or switches are overloaded, whether MAC-based connections are correctly established and whether load distribution is functioning. 
   
• AI-Powered IT Automation 
  Benefit: Monitoring data from BVQ° can be integrated into AI-driven decision processes – for example, to automatically respond to network congestion or dynamically adjust routing strategies. 

Conclusion

With this integration, BVQ° becomes the central instance for analyzing and optimizing AI-relevant networks – making it a key component for high-performance, resilient and future-proof data centers.