Aviz Networks details AI fabric tools for NVIDIA GTC Berlin 2026

Meeting the Aviz Networks team at NVIDIA GTC Berlin 2026 centers on AI fabric operations, with a focus on open networking, RDMA observability, and lifecycle management for GPU-heavy environments. The post is aimed at enterprise and infrastructure buyers that need to assess network fit, operational control, and scalability for AI deployments. ## Research Overview The blog says large AI clusters can run into congestion, packet loss, and low GPU utilization when network visibility is limited. It argues that standard monitoring tools often miss east-west and RDMA traffic, which can make troubleshooting slower and less direct. It positions Aviz Networks around NVIDIA GTC Berlin 2026, where the company says it will show how organizations can manage AI fabrics with open networking and packet-level observability. The post ties that message to enterprises, sovereign AI efforts, NeoCloud providers, and GPU cloud operators. ## Technical Breakdown Aviz describes its approach as combining open networking standards, traffic visibility, and workload-aware automation. The post says this is meant to support deployment, tuning, and ongoing operations across AI fabrics built on NVIDIA Spectrum-X and NVIDIA BlueField-3 DPUs. The blog also says Aviz ONES for NVIDIA AI Factory provides lifecycle management, multi-vendor orchestration, and uniform telemetry. It presents these capabilities as a way to reduce manual workflow stitching across separate network toolkits. ## Operational Impact The article says RDMA and RoCE traffic are important to AI workload performance because they allow GPUs to communicate with low latency. It adds that without observability, operators may only notice issues after GPU utilization drops or training runs slow down. Aviz says its Deep Network Observability Suite uses Service Nodes on BlueField-3 DPUs to provide packet-level visibility without hardware changes or rewiring. The post says this can help teams identify bottlenecks faster and monitor workloads in multi-tenant environments. ## Leadership Perspective The blog frames open networking as a way to give organizations more hardware choice and reduce vendor lock-in. It says that flexibility may help enterprises, research groups, government bodies, and cloud providers adjust their architecture over time and avoid supply chain delays. For leaders evaluating AI infrastructure, the post emphasizes predictable performance, operational visibility, and control over costs. It says the event audience includes architects, network operations teams, NeoCloud and GPU cloud providers, and enterprise and sovereign AI buyers. The article presents Aviz Networks as a vendor focused on AI fabric operations for large GPU environments. This Blog Signals brief is a fact-based summary of the vendor blog.