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The network operating layer for NVIDIA AI factories.

Aviz ONES for NVIDIA AI Factory
Design in ONES. Validate in NVIDIA DSX Air. Provision isolated tenants across Spectrum-X Ethernet, InfiniBand, NVLink, BlueField-3, and ConnectX, from H100 and H200 through B200, GB200, B300, and GB300.
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Hello! How may I help you today?
A rack of GPUs is not yet an AI factory

What we hear in almost every AI factory conversation.

The network must make compute, storage, host orchestration, NICs, DPUs, and every fabric behave as one production system, while NVIDIA architectures continue to move forward.

01

Reference architectures keep advancing

Each generation changes GPU, NIC/DPU, scale-up, scale-out, and front-end design choices. Static scripts turn into technical debt.

02

One factory contains multiple fabrics

Front-end, storage, border, Ethernet, InfiniBand, and NVLink domains must be coordinated instead of operated as separate islands.

03

Tenancy must extend to the wire

Tenant intent must become consistent isolation across switches, overlays, compute, storage, NICs, and DPUs, not only a workload label.

04

Hardware cannot wait for integration

Network and ecosystem workflows need to be tested before racks arrive, reducing idle infrastructure and accelerating workload readiness.

Architecture

How Aviz solves the complexities of AI factories.

One orchestration layer — network, GPU, and telemetry — integrated upward and abstracting everything below, plus the engineers who run it with you.

Host & Workload Orchestration

Platforms, orchestration and applications

Kubernetes · Slurm · Run:AI · BCM · Red Hat · Spectro Cloud

Network & GPU Orchestration + Telemetry

The Aviz solution

ONES

Onboarding

ZTP to configured device

ONES

Tenancy

Segmentation and policy

ONES

Operate

Telemetry, alerts, RMA

ONES

Integration

Host orchestration, DSX Air

Aviz FDEs

Forward-deployed engineers who know this whole stack end to end.

  • Design
  • Bring-up
  • Tenancy
  • Day 2
  • 24×7 TAC
Hardware Layer

AI factory hardware infrastructure

GPUs

HGX B300 · GB200/GB300 NVL72 · RTX PRO

DPUs & NICs

BlueField-3 · ConnectX-8 SuperNICs

Storage

VAST · WEKA · DDN

Servers

Dell · HPE · Lenovo · Supermicro · Cisco

Networking Stack

Ethernet · InfiniBand · NVLink · UEC · RoCEv2

Network OS

Cumulus · SONiC flavours · Arista EOS · Cisco NX-OS · Juniper Junos

East-West Controllers

NVIDIA UFM (InfiniBand) · NMX-C (NVLink)

North-South Controllers

NetQ · Nexus Dashboard · CloudVision

ITSM & Ops

NetBox · Splunk · ServiceNow · Fortinet

How It Works

How you build your AI factory with ONES.

Whether you’re standing up a sovereign AI cluster, a private AI environment, or a neocloud — the same three-stage path applies. One software appliance, VM or bare metal, out of the data path, agentless.

Day 0Onboarding

Design and validate

  • RA-driven designs, planned for growth and expansion
  • Simulate end-to-end networking before hardware arrives
ZTPYAML | TerraformHost Plugin

NVIDIA DSX Air · Aviz ONE Center with FTAS

Day 1Tenancy

Operate multi-tenancy

  • Network abstraction through the ONES operator and API
  • Automatic tenant segmentation, workload isolation via API
VXLAN | VLANVPC PeeringK8s Operator

Rafay · Red Hat · Spectro Cloud · vCluster

Day 2 / NOperate

Monitor and operate

  • Network monitoring, forecast and prediction
  • Lifecycle management and troubleshooting
TelemetryAlerts | ForecastingRMA | LCM

ServiceNow · Zendesk · Slack

ONES isn’t a one-time setup. It stays connected to your orchestration tools, NVIDIA’s controllers, and DSX Air for as long as the factory runs — end to end, from an empty switch to a tenant running on its own isolated slice of the network.

Telemetry

Operationalizing the factory through telemetry.

Rich telemetry: inventory · platform · control plane · traffic · compute · GPU — across a multi-vendor ecosystem.
Visibility — one place for inventory, platform, control plane, traffic, GPU
RMA, alerts & ticketing — failure → alert → ticket → maintenance window
Proactive — ML forecasting on capacity, optics, buffers
Audit & API — RBAC, audit log, data export
Next step: a quick proof of concept

Validate with NVIDIA DSX Air

Start with the ONES OVA, AI-Parser, or AI-NOC — with the partner of your choice. No hardware required to begin.

01

Deploy

ONES OVA, AI-Parser or AI-NOC, in your environment.

02

Validate

Your topology proved in the DSX Air twin, before hardware.

03

Prove the value

One tenant end to end, or one week of real token data.

How to buy

Licensed per GPU, under the ONES AI Factory license.

Priced by the number of GPUs under management — not by device count, use case, or token volume.

Subscription terms. Available on 1-, 3-, or 5-year subscription terms.

Reference architectures

Aviz supports NVIDIA Spectrum-X RA 2.1 and Aviz RA 1.0.

Aviz RA 1.0 options

Includes Spectrum-X RA 1.3 and InfiniBand designs, for rack- or server-based deployments.

Per-GPU coverage

One license per GPU covers every east–west and north–south network that GPU’s fabric needs.

Technical questions

What the public page should say, and what it should not overclaim.

What GPU architectures does ONES cover today?

H100, H200, B200, GB200, B300, and GB300. B300 quad-plane, RTX PRO east–west AI Grid, east–west Ethernet on SONiC, custom designs, and Aviz Gateway Service are roadmap items.

Does ONES support 128,000 GPUs?

128K is NVIDIA’s published Spectrum-X multiplane scale, not a published ONES management ceiling.

Which DPU generation does Aviz support?

BlueField-3 or ConnectX, for north–south networking. BlueField-4 (NVIDIA’s published 800 Gb/s platform) is not claimed here.

Where does DSX Air fit?

ONES defines and operationalizes the network design; NVIDIA DSX Air is the simulation environment that validates it before physical deployment.

How is this licensed?

Per GPU under management, under the ONES AI Factory license, covering Spectrum-X RA 2.1 and Aviz RA 1.0 designs, on 1-, 3-, or 5-year terms.

Do we need hardware on-site to start?

No — a POC starts with the ONES OVA, AI-Parser, or AI-NOC, validated in the DSX Air twin, no hardware required to begin.

Why Aviz AI Factory

An integration project becomes a repeatable production capability.

ONES turns a one-off AI factory build into a validated, API-driven operating model — recognized across the NVIDIA ecosystem.

Aviz ONES adds the operational layer for a repeatable, multi-tenant platform.
Amit Katz · VP, Networking, NVIDIA
Maximize GPU performance while simplifying operations.
Gilad Shainer · SVP, Networking, NVIDIA
Faster readiness

Shorter path from hardware to productive GPU capacity.

Lower risk

Integrations proved together in DSX Air, before production.

Repeatability

API-driven tenant onboarding, not manual changes.

Utilization

Consistent segmentation across tenants and workloads.

NVIDIA Spectrum-X orchestration partner
NVIDIA DSX Air ecosystem
NVIDIA DSX Infrastructure Marketplace
Rafay
Spectro Cloud
Red Hat
VAST Data

Bring your target GPU architecture. Leave with a validated network plan.

Map the front-end, storage, border, scale-out, and scale-up fabrics in ONES, then walk through the complete design in NVIDIA DSX Air before production hardware arrives.

See how it works