Accelerating AI Networking: NVIDIA Spectrum-X and Aviz ONES Integration

June 17, 2025ONES & SONiC

Overview

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.

Key takeaways

• Spectrum-X for AI: Ethernet with RDMA (RoCE), adaptive routing, and congestion control to unlock full GPU performance.
• Validated architecture: Spectrum-X RA 1.3.0, exercised at supercomputer scale (e.g., Israel-1) for predictable performance.
• ONES orchestration: Declarative fabric design, digital-twin validation, zero-touch provisioning, and lifecycle ops.
• Multi-tenancy: EVPN/VRF segmentation, GPU-aware provisioning, and policy-driven isolation for AI workloads.
• Agentless visibility: NOS, host, and GPU telemetry with built-in alerting via Slack, ServiceNow, and Zabbix.

Figure 1: NVIDIA Spectrum-X Full Stack + Aviz ONES Network Orchestration

Spectrum-X RA 1.3.0: Validated for scale

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.

Figure 2: Spectrum-X Network Orchestration Ecosystem

How Aviz ONES supports Spectrum-X

• Day 0–2 automation: Declarative fabric design, NVIDIA AIR simulation, and RA-aligned auto-configuration for switches and hosts.
• Multi-tenant orchestration: EVPN/VRF segmentation, GPU-aware resource provisioning, and policy-driven isolation.
• Telemetry & alerting: Agentless, real-time visibility from switches, hosts, and GPUs with integrated alerts.
• Lifecycle operations: Config drift detection, backup/restore, topology-aware comparisons, and structured RMA workflows.

Figure 3: ONES for Spectrum-X Monitoring & NetOps

What experts said

“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.”

Live demo highlights

• Automated orchestration of a two-SU Spectrum-X fabric
• Tenant creation and GPU assignment
• Policy-driven isolation validation
• Real-time monitoring dashboards and anomaly detection
• Full configuration comparison and structured RMA workflows

Frequently Asked Questions

1. What is NVIDIA Spectrum-X and how is it optimized for AI workloads?

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.

2. How does Spectrum-X improve performance versus traditional Ethernet?

By enabling GPU-to-GPU RDMA, using adaptive routing to bypass hotspots, and maintaining consistent throughput across large GPU fleets, even under heavy load.

3. What is the Spectrum-X Reference Architecture (RA 1.3.0)?

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.

4. How does Aviz ONES integrate with Spectrum-X?

ONES connects directly to Spectrum-X fabrics to automate deployment, manage multi-tenant AI workloads, and provide agentless, real-time telemetry—simplifying NetOps.

5. What Day 0–2 automation capabilities does ONES offer?

• Declarative fabric design: Define topology and intent upfront.
• NVIDIA AIR simulation: Validate configs in a digital twin.
• Zero-touch provisioning: Apply RA-aligned templates to switches and hosts automatically.

6. How does ONES enable multi-tenant isolation?

Through EVPN/VRF segmentation, GPU-aware resource provisioning, and policy enforcement to ensure secure separation of tenant traffic and workloads.

7. How does ONES deliver real-time visibility without extra agents?

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.

8. What practical workflows were shown in the bootcamp?

Two-switch Spectrum-X orchestration, tenant and GPU assignment, isolation policy validation, live dashboards and anomaly detection, plus configuration comparison and RMA workflows.

9. Who should adopt Spectrum-X with Aviz ONES?

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.

10. Where can I learn more or see it in action?

Watch the bootcamp recording for a full walkthrough and explore Aviz ONES resources for documentation, case studies, and deployment best practices.