Orchestrating the AI Factory with Visibility and Control
May 4, 2026
AI Factory
Networking infrastructure is evolving in two directions at once.
On one side, organizations are building AI factory environments— with highly dynamic workloads, distributed systems, and increasing demands for scale and performance. Secondly, they continue to operate modern enterprise infrastructure, where consistency, visibility, and operational efficiency remain critical.
Across both, the challenge is the same.
- Managing multi-tenancy across applications and infrastructure
- Enabling streaming operations (Day-0 to Day-2) with the right telemetry for observability
- Maintaining real-time visibility into network and application behavior
As these environments grow, the gap between workload orchestration and network operations becomes more pronounced—making it harder to maintain control, isolate tenants, and troubleshoot issues efficiently.
Aviz Networks, in collaboration with Red Hat, addresses this challenge by simplifying how networks are orchestrated, observed, and operated across these environments.
A Practical Approach to AI Factory Orchestration
Orchestration, Visibility, and Operations
AI factory environments require coordination across both workload orchestration and network operations.
- Red Hat Enterprise Linux and Red Hat OpenShift provides the foundation for workload orchestration and application lifecycle management
- Aviz ONES extends orchestration into the network layer for AI fabrics
- Aviz Service Node (ASN) delivers deep observability through packet-level visibility
- Network Copilot enables AI-driven operations across infrastructure layers
These capabilities are delivered as software components running on enterprise Linux environments, including Red Hat Enterprise Linux, supporting flexible deployment across the network and infrastructure.
This coordinated approach aligns workloads and network operations—enabling consistent multi-tenancy, real-time visibility, and efficient operations as environments scale - allowing organizations to deploy immediately while expanding capabilities over time.
Orchestrating AI Fabrics with ONES
At the center of this approach is ONES, which provides the network orchestration layer for AI fabrics.
ONES enables organizations to:
- Orchestrate network infrastructure across environments
- Support multi-tenancy and tenant isolation
- Simplify operations (Day-0 to Day-2) across the infrastructure lifecycle
By extending orchestration into the network layer, ONES helps close the gap between how workloads are managed and how the network is operated.
Deploying as Software on Red Hat Enterprise Linux
Aviz delivers ONES, ASN, and Network Copilot as software that runs on Red Hat Enterprise Linux, delivering:
- Flexible deployment across enterprise environments
- Support for connected, disconnected, and air-gapped setups
- Consistent operational model across on-prem, cloud, and edge environments
This allows organizations to integrate Aviz capabilities into their existing Red Hat infrastructure without disruption.
Deep Network Observability with ASN
Visibility is foundational to operating modern infrastructure.
Aviz Service Node (ASN) provides real-time insight into application and network behavior through packet-level intelligence:
- Application identification using deep packet inspection (DPI)
- Packet deduplication
- GPRS tunneling protocol (GTP) correlation
- Metadata enrichment across enterprise and telecommunications environments
- Packet capture for troubleshooting
This level of observability enables teams to move beyond surface-level monitoring and understand how applications behave within the network.
AI-Driven Operations with Network Copilot
As environments scale, operational complexity increases.
Network Copilot introduces AI-driven capabilities that help teams:
- Identify issues faster by reducing mean time to repair (MTTR)
- Correlate signals across infrastructure layers
- Root cause analysis (RCA)
This shifts operations from reactive troubleshooting to more efficient and proactive workflows.
Why This Matters
AI factories introduce a new level of operational complexity.
It is no longer just about deploying workloads - it is about coordinating infrastructure, networking, and operations as a unified system.
Organizations are now managing:
- Workload orchestration across dynamic environments
- Multi-tenancy spanning applications and network infrastructure
- Streaming operations driven by real-time telemetry
- Highly dynamic traffic patterns that are difficult to monitor and troubleshoot
In many environments, these layers are handled independently—creating gaps between workload orchestration and network operations.
What is needed is a consistent way to:
- Extend orchestration into the network layer
- Maintain tenant isolation across the full stack
- Operate efficiently as environments scale
By combining network orchestration, deep observability, and AI-driven operations on the trusted foundation of Red Hat Enterprise Linux and Red Hat OpenShift, Aviz helps bridge this gap —bringing visibility, control, and operational consistency to modern infrastructure.
Conclusion
As AI-driven environments and distributed systems continue to grow, network operations will play an increasingly critical role.
Organizations need solutions that simplify complexity while maintaining control and visibility.
With Aviz ONES, ASN, and Aviz Network Copilot running on Red Hat Enterprise Linux and Red Hat OpenShift environments, Aviz Networks provides a practical approach to operating modern networks and infrastructure—enabling teams to scale with confidence.
Frequently Asked Questions
1. What problem are Aviz Networks and Red Hat solving together?
In most organisations, workload orchestration and network operations are run by separate teams using separate tools. That gap makes it hard to isolate tenants, spot issues quickly, and keep things consistent as the environment grows. Aviz and Red Hat close that gap by tying network orchestration, deep observability, and AI-driven operations into one coordinated approach running on Red Hat Enterprise Linux and OpenShift.
2. What does Aviz ONES actually do inside an AI factory environment?
ONES handles the network orchestration layer that most AI fabric setups are missing. It covers Day-0 setup through Day-2 ongoing operations, keeps tenants isolated from each other, and brings the network under the same orchestration model used for workloads. Instead of managing compute and networking separately, teams get both moving in the same direction.
3. How does Aviz Service Node give teams deeper visibility than regular monitoring?
Most monitoring tools sit at the surface and tell you something is wrong. ASN goes deeper by inspecting actual packets to identify applications, correlate GTP tunnels, enrich metadata, and capture packets for troubleshooting. Teams stop guessing what is happening inside the network and start seeing it directly at the application and flow level.
4. How does Network Copilot change the way operations teams handle issues?
Right now most teams react after something breaks. Network Copilot shifts that by using AI to correlate signals across infrastructure layers and surface root causes faster. Teams spend less time hunting through logs and more time actually fixing things. The goal is cutting MTTR down and moving from firefighting mode into something closer to proactive operations.
5. How do Aviz tools get deployed into an existing Red Hat environment?
ONES, ASN, and Network Copilot all run as software on Red Hat Enterprise Linux. There is no separate appliance to rack or new platform to learn. They drop into existing Red Hat infrastructure and work across on-prem, cloud, and edge setups including air-gapped environments where connectivity is restricted. Teams keep the operational model they already have.
6. Why is managing multi-tenancy harder in AI factory environments than in regular enterprise networks?
AI factories run highly dynamic workloads that shift constantly, which makes tenant boundaries harder to enforce. Traffic patterns are unpredictable, compute and network layers are often managed separately, and the scale is much larger. When workload orchestration and network operations do not talk to each other, tenants bleed into each other's space and troubleshooting becomes a nightmare.
7.What does running network tools on Red Hat Enterprise Linux mean for operations teams practically?
It means no new platform to stand up and no separate team to run it. Red Hat Enterprise Linux is already in most enterprise environments, so deploying Aviz tools there keeps everything under one operational roof. Updates, security patching, and lifecycle management all follow the same process teams already know rather than adding another silo to manage.
8. Why do AI-driven environments need real-time telemetry and not just periodic reporting?
AI factory workloads move fast. A training job can degrade or fail in minutes if the network is not behaving correctly. Periodic reports tell you what happened an hour ago, which is too late to do anything useful. Real-time telemetry lets teams catch problems as they develop and respond before a slowdown turns into a full outage or a failed run.
Take control of your AI factory with end-to-end visibility. Talk to our team.
