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Turn GPU capacity into a cloud you can operate.

Build around NVIDIA reference architectures. Automate tenant networking, connect customers to services, and bring usage and infrastructure evidence into daily operations. Aviz software and forward-deployed engineers work alongside the platform you already run.
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A repeatable path to production

Start from a supported design, rehearse the workflows, and carry the same operating model into each new pod.

Tenant services that follow the platform

Connect provisioning, network policy and external access through documented APIs and automation.

Evidence for the service you deliver

Bring fabric health, tenant usage and inference performance into the same operational conversation.

Aviz capabilities

Build. Connect. Observe. Operate.

Start with the capability your next pod needs. Add the others as your service and operating requirements grow.

Build

Aviz ONES

Make network delivery repeatable.

Design and bring up supported AI factory fabrics, automate tenant segmentation, and monitor the network through its lifecycle. Connect ONES to host orchestration and the NVIDIA controllers used in your design.

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Connect

Aviz Service Gateway

Give each tenant a controlled service edge.

Connect tenants to external networks and shared services with VRF/VXLAN termination, BGP/EVPN routing, NAT, elastic IPs and stateful L3/L4 policy. ONES coordinates gateway services with tenant networking.

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Observe

Aviz AI-Parser

See usage and latency by tenant.

Use a passive traffic copy to observe supported, inspectable inference requests and responses. Capture reported token usage and timing evidence for showback, service reporting and troubleshooting.

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OperateEarly access

Aviz AI NOC

Investigate across infrastructure layers.

Ask operational questions and correlate supported inference, GPU, compute and fabric sources with evidence attached. AI NOC is available through early access, with operator control over changes.

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NVIDIA

NVIDIA standardization

Use the NVIDIA foundation. Make it work as one service.

NVIDIA reference architectures and DSX OS provide a foundation for AI factory infrastructure. Aviz adds network automation, tenant connectivity, observability and engineering support around the components selected for your deployment.

For supported NICo integrations, NVIDIA Infra Controller supplies tenant network identity. ONES uses that context to extend the tenant into the fabric and service edge. Your platform can continue to drive the workflow through APIs.

Your engineers can review and extend selected open-source NVIDIA components under their licenses. Aviz forward-deployed engineers help with integration and knowledge transfer so your team can maintain the operating environment.

Start with the actual design

Agree the GPU generation, network roles, controllers, software releases and integration boundaries.

Preserve the source of truth

Define which system owns tenant identity and how provisioning changes reach the network.

Keep integrations reviewable

Document APIs, permissions, version dependencies and the tests that demonstrate the workflow.

Rehearse, then validate

Work through the design before the first tenant depends on it.

Use NVIDIA DSX Air to rehearse the supported logical topology and operating workflows. Then test the assembled physical stack against agreed acceptance criteria. Aviz FTAS and forward-deployed engineers help turn integration findings into a documented path to production.

  1. Rehearse

    Exercise network configuration and tenant workflows in a DSX Air simulation.

  2. Validate

    Check the physical integration, supported interfaces and operational handoffs.

  3. Record

    Capture the tested versions, outcomes, known issues and recovery steps.

Aviz engineering

Engineers who work with your team through go-live.

Aviz forward-deployed engineers help with architecture, bring-up, integration testing and the first operating workflows. Knowledge transfer gives your engineers the runbooks and context to maintain the environment. Support continues through the agreed engagement and 24x7 TAC coverage.

Begin with one pod, one tenant workflow or one visibility gap. Agree the evidence that will justify the next stage before expanding.

Frequently asked questions

Questions from NeoCloud infrastructure teams

  • Aviz connects network design, tenant provisioning, service-edge connectivity and operational visibility. ONES works with the supported host orchestration and NVIDIA controllers in your design. Service Gateway, AI-Parser and AI NOC add specific capabilities where you need them. The engagement starts by agreeing that division of responsibility.

Trusted across the AI infrastructure ecosystem

Edgecore Networks
Keysight Technologies
MiTAC Computing / Micas
Broadcom
NVIDIA
Wistron
Celestica
Cisco
Lenovo
HPE
Dell Technologies
Supermicro
Marvell
UfiSpace
VAST Data
Rafay Systems
Spectro Cloud
Red Hat
Nearby Computing
Clastix

Bring the pod. Define the path to production.

Walk through your NVIDIA architecture, tenant workflow and operating requirements with an Aviz engineer.