June 17, 2025
ONES & SONiC
As AI workloads scale, traditional Ethernet struggles to keep pace with the traffic patterns of distributed GPU clusters. To solve this, NVIDIA and Aviz Networks demonstrated the deep integration between NVIDIA Spectrum-X—the first Ethernet fabric optimized for AI—and the Aviz Open Networking Enterprise Suite (ONES) for orchestration and full-stack observability.
The joint bootcamp showed how enterprises can deploy a purpose-built Ethernet fabric with InfiniBand-class features while using ONES to automate Day 0–2, enable multi-tenant isolation, and achieve agentless, real-time visibility across switches, hosts, and GPUs.
The Spectrum-X Reference Architecture (RA 1.3.0) is a prescriptive blueprint tested on real-world supercomputers such as Israel-1. It combines open NOS (SONiC/Cumulus), NetQ telemetry, NVIDIA AIR digital-twin simulation, and BlueField-accelerated switching to ensure reliability, performance, and repeatability.
“AI had its iPhone moment with ChatGPT. Suddenly, enterprises everywhere wanted to deploy generative AI at scale — but Ethernet couldn’t keep up.”
“We wanted customers to scale GPU clusters effortlessly while maintaining network visibility and operational simplicity — ONES makes that possible.”
Spectrum-X is the first Ethernet fabric purpose-built for AI clusters. It extends InfiniBand-like capabilities to Ethernet—RDMA (RoCE), adaptive routing, and congestion control—while retaining familiar enterprise governance.
By enabling GPU-to-GPU RDMA, using adaptive routing to bypass hotspots, and maintaining consistent throughput across large GPU fleets, even under heavy load.
A validated deployment blueprint exercised on supercomputers (e.g., Israel-1) that combines SONiC/Cumulus, NetQ telemetry, NVIDIA AIR digital twin, and BlueField acceleration for predictable performance and scalability.
ONES connects directly to Spectrum-X fabrics to automate deployment, manage multi-tenant AI workloads, and provide agentless, real-time telemetry—simplifying NetOps.
Through EVPN/VRF segmentation, GPU-aware resource provisioning, and policy enforcement to ensure secure separation of tenant traffic and workloads.
It leverages built-in telemetry from NOS, hosts, and GPUs, then integrates with Slack, ServiceNow, and Zabbix for automated alerting—no third-party agents required.
Two-switch Spectrum-X orchestration, tenant and GPU assignment, isolation policy validation, live dashboards and anomaly detection, plus configuration comparison and RMA workflows.
Enterprises building private AI clouds, operators running large training clusters, and GPU-as-a-Service providers needing high performance, strong isolation, and full-stack observability.
Watch the bootcamp recording for a full walkthrough and explore Aviz ONES resources for documentation, case studies, and deployment best practices.
Whether you’re building a private AI cloud or launching GPU-as-a-Service, the NVIDIA + Aviz stack helps you scale with confidence—and visibility.
