How ONES + NVIDIA Spectrum-X Orchestrate the Future of AI Fabrics

Introduction

High-performance AI and HPC workloads depend on ultra-fast, lossless GPU-to-GPU communication. NVIDIA Spectrum-X provides the hardware backbone, a high-performance Ethernet fabric designed for AI clusters.

But hardware alone is not enough. To unlock its full potential, enterprises need orchestration that simplifies design, deployment, and scaling. That's where Aviz ONES (Open Networking Enterprise Suite) comes in. ONES ensures predictable AI performance while reducing operational complexity.

Why Combine ONES with NVIDIA Spectrum-X?

Spectrum-X delivers the fabric, and ONES orchestrates it. Together, they provide enterprises with a turnkey solution for building AI-ready networks that are scalable, resilient, and easy to manage.

What Makes NVIDIA Spectrum-X Unique?

• HGX H100/H200 GPUs → leading AI compute.
• Spectrum-4 (SN5600) switches → 128x 400G ports for massive throughput.
• BlueField-3 SuperNICs → hardware acceleration for RoCEv2 + security.

Together, this creates a lossless, Ethernet-based GPU fabric comparable to InfiniBand — but built on open networking.

How Does ONES Transform AI Fabric Orchestration?

• Intent-Based Design → create topologies from high-level specs.
• Zero-Touch Provisioning → configure fabrics without CLI.
• Continuous Validation → detect and fix config drift.
• Integrated Telemetry → monitor everything from RoCE drops to GPU temperature.

Which Fabrics Does ONES Orchestrate?

• East-West GPU Fabric → optimized for lossless GPU-to-GPU traffic.
• Storage Fabric → high-throughput, low-latency dataset access.
• North-South CPU Fabric → orchestration, management, user traffic.

ONES unifies these fabrics into a single system, eliminating silos.

How Does ONES Automate Day-0 to Day-2 Operations?

• Day-0 (Setup): Define scalable units, IP ranges, generate configs, and validate in NVIDIA AIR.
• Day-1 (Operations): Create tenants via GUI, automatic L3-VNI to VRF mapping, seamless GPU allocation.
• Day-2 (Maintenance/Scaling): Critical alerts, automated RMA workflows, scale to 8,000+ GPUs without re-architecting.

How Does ONES Handle Scaling?

• Phased Growth: Add spine switches as needed → lower upfront cost, may require re-cabling.
• Max Capacity Upfront: Invest early → higher upfront cost, no re-cabling later.

In both cases, IP mappings, tenant configs, and RoCE profiles remain consistent.

How Does ONES Provide Full-Stack Visibility?

• Fabric Health: BGP state, EVPN routes, VXLAN checks.
• RoCE Insights: PFC/ECN stats, microburst detection.
• GPU Metrics: Utilization, memory, temperature.
• Device Monitoring: Fans, PSUs, SSDs, transceivers.
• Custom Alerts: Integrates with Slack, ServiceNow for rapid response.

What's the Impact for AI and HPC Teams?

• Faster deployments → from weeks to hours.
• Predictable GPU performance in multi-tenant environments.
• Seamless scaling without rework.
• Operational confidence via validation and automated remediation.

Ideal for AI cloud providers, research institutions, and enterprises building HPC infrastructure.