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Aviz ONES + Spectro Cloud PaletteAI — NVIDIA AI Factory Infrastructure as a Service

March 13, 2026

Ram Mohan Hariprasad

Executive Summary

Enterprises building AI factories need more than high-performance GPUs—they require a platform that orchestrates infrastructure, automates Kubernetes environments, and enforces secure multi-tenancy at scale.

The joint solution from Aviz Networks and Spectro Cloud merges deterministic, GPU-aware fabric orchestration with full-stack fleet lifecycle automation, transforming NVIDIA-powered infrastructure into a governed, repeatable AI Factory platform.

Aviz ONES: Delivers GPU-aware fabric orchestration, segmentation, and lifecycle automation across NVIDIA Spectrum-X Ethernet networks, supporting NVIDIA Enterprise and Cloud Provider Reference Architectures.

Spectro Cloud PaletteAI: Provides full-stack infrastructure lifecycle management, automating Kubernetes cluster fleets, NVIDIA AI Enterprise stack integration, and blueprint-driven AI environment deployment.

Together, Aviz ONES and PaletteAI operationalize NVIDIA AI Factory infrastructure as a multi-tenant, production-grade service across data centers, clouds, edges, and sovereign deployments.

The Challenge: Operationalizing AI Factories

Topology alignment: Aligning Kubernetes clusters with GPU, DPU, and fabric topology.

Deterministic performance: Delivering deterministic network performance for AI workloads.

Multi-tenancy: Enforcing secure multi-tenancy across infrastructure layers.

Lifecycle operations: Managing lifecycle operations across distributed environments.

Self-service with governance: Providing self-service AI environments without compromising governance.

Alignment with NVIDIA Reference Architectures

NVIDIA defines multiple validated AI Factory reference architectures:

Spectrum-X Reference Architecture (SpX RA) — Defines the optimized East–West Ethernet GPU fabric.

Enterprise Reference Architecture (ERA) — Designed for enterprise AI deployments integrating compute, storage, networking, and governance.

NVIDIA Cloud Provider (NCP) Reference Architecture — Built for large-scale, cloud and neo-cloud AI environments.

While SpX RA focuses primarily on the East–West GPU fabric, customer deployments are typically based on Enterprise RA (ERA) or NCP RA, which encompass full-stack AI infrastructure design.

The Joint Solution Supports:

Enterprise RA (ERA) implemented with Spectrum-X Ethernet.

NCP RA implemented with Spectrum-X Ethernet.

Aviz ONES orchestrates the deterministic Spectrum-X Ethernet fabric layer. Spectro Cloud PaletteAI operationalizes Kubernetes-based AI infrastructure, NVIDIA AI Enterprise software, and platform governance across these reference architectures.

This ensures customers can deploy ERA and NCP designs using Spectrum-X Ethernet with complete Day-0 through Day-2 automation.

The Joint Solution

Aviz ONES — Deterministic Fabric Orchestration

Aviz ONES provides the infrastructure intelligence layer for AI factories:

GPU-aware orchestration aligned to NVIDIA Spectrum-X Ethernet Reference Architecture (RA), leveraged by NVIDIA Enterprise RA and NVIDIA Cloud Provider RA.
EVPN/VXLAN segmentation for architectural multi-tenancy.
Fabric lifecycle automation (Day-0 through Day-2).
GPU-aware fabric design for AI factories.
Telemetry-driven performance optimization.

ONES ensures AI workloads run on predictable, low-latency, lossless fabrics.

Spectro Cloud PaletteAI — AI Control Plane & Infrastructure Lifecycle Management

Spectro Cloud PaletteAI provides the platform layer that operationalizes AI infrastructure:

Fleet Lifecycle Management — Infrastructure fleet lifecycle management across environments.

NVIDIA AI Enterprise Stacks — Declarative blueprint-driven deployment including NeMo, NIM, DOCA, Dynamo, and MLOps tools.

Governance & RBAC — Governance, RBAC, and policy enforcement.

Zero-Trust Security — DPU-accelerated isolation via PaletteAI VerteX edition.

Self-Service AI Environments — AI environment provisioning for practitioners and platform teams.

PaletteAI transforms infrastructure into consumable AI platforms for practitioners, with enterprise-grade management and governance for platform owners.

How the Stack Works

Infrastructure Layer — Aviz ONES

Creates the deterministic AI fabric:

Segments tenants across network, GPU, and DPU resources
Aligns workload placement with fabric topology
Automates provisioning and scaling of Spectrum-X Ethernet networks

Platform Layer — Spectro Cloud PaletteAI

Operationalizes the environment:

Deploys Kubernetes clusters aligned to GPU topology aligns workload placement with
Embeds NVIDIA AI software and full software stacks into cluster blueprints
Manages lifecycle operations across fleets

Consumption Layer — AI Practitioners

Receives a governed AI platform:

Self-service access to AI environments
Isolated workspaces with performance guarantees
Pre-validated AI stacks ready for training and inference

What the Joint Solution Delivers

AI Factory Orchestration as a Service

End-to-end orchestration of GPU- and DPU-backed Kubernetes clusters
Blueprint-driven deployments aligned to NVIDIA AI Factory designs
One-click rollout of GPU Operator and AI software stacks

Deterministic AI Performance

GPU-aware traffic engineering across Spectrum-X Ethernet fabrics
Segmented east-west networking for predictable performance
Optimized paths for large-scale training and inference workloads

Architectural Multi-Tenancy

Isolation across network, GPU/DPU, and Kubernetes layers
Policy guardrails and RBAC enforcement
Zero-trust security with DPU-accelerated controls

Unified Observability

Integrated telemetry from fabric to workloads
Cost and resource optimization policies
Operational visibility across environments

Where It Fits

Use Case

What It Enables

Enterprise AI Platforms — Standardized multi-tenant AI clusters with governance
AI Factory Deployments — High-density GPU environments with deterministic networking
GPU Platform-as-a-Service — Isolated AI environments with performance guarantees
Neo-Cloud Providers — Catalog-driven AI infrastructure services

Key Benefits

Deterministic Performance

GPU-aware fabrics optimized for AI traffic

Secure Multi-Tenancy

Isolation across infrastructure and platform layers

Operational Simplicity

Unified Day-0 to Day-2 automation

Repeatable Deployments

Blueprint-driven AI environment creation

Platform-Ready Infrastructure

Infrastructure delivered as a consumable service

Conclusion

Aviz ONES and Spectro Cloud PaletteAI together deliver a platform-led model for AI infrastructure — transforming NVIDIA Spectrum-X Ethernet-based environments into scalable, governed, and consumable AI factories.

By uniting fabric orchestration with Kubernetes lifecycle automation, organizations can deploy AI infrastructure with confidence, operate it efficiently, and expose it as a service to AI practitioners.