Aviz Networks Details ONES, ASN, and Network Copilot on Red Hat
Aviz Networks, working with Red Hat, describes a coordinated approach that links network orchestration and deep observability with AI factory workload operations, aiming to improve multi-tenant isolation and troubleshooting as environments scale. For enterprise IT and security teams, the update focuses on telemetry and operational alignment across the network and application layers.
Research Overview
The brief frames enterprise infrastructure as moving in two directions at once: AI factory environments with dynamic, distributed workloads alongside modern enterprise networks that rely on consistency and operational efficiency. It states that both require control, isolation, and visibility across application and network behavior.
It identifies recurring operational needs in these settings, including multi-tenancy across applications and infrastructure, streaming operations from Day-0 to Day-2 with telemetry for observability, and real-time visibility into network and application behavior.
Key Findings
The brief says gaps emerge when workload orchestration and network operations are handled separately. It describes those gaps as making it harder to maintain control, isolate tenants, and troubleshoot efficiently.
To address this, it outlines an approach that combines network orchestration, packet-level visibility, and AI-assisted operations, aligned to workload coordination rather than treating networking as a separate operational track.
Technical Breakdown
Aviz ONES is presented as the network orchestration layer for AI fabrics. The brief states ONES supports orchestration of network infrastructure across environments, multi-tenancy with tenant isolation, and simplified operations across the infrastructure lifecycle from Day-0 to Day-2.
Aviz Service Node (ASN) is described as delivering deep network observability through packet-level visibility, including application identification using deep packet inspection, packet deduplication, GTP correlation, metadata enrichment, and packet capture for troubleshooting.
For operations, Network Copilot is described as providing AI-driven capabilities to help teams identify issues faster by reducing mean time to repair (MTTR), correlate signals across infrastructure layers, and perform root cause analysis through signal correlation.
Operational Impact
The brief says Aviz delivers ONES, ASN, and Network Copilot as software components running on enterprise Linux environments, including Red Hat Enterprise Linux. It states deployment is intended to work across connected, disconnected, and air-gapped setups, including on-prem, cloud, and edge environments.
It also describes the intended outcome as a consistent operational model and aligned network and workload coordination, with multi-tenancy and real-time telemetry supporting operations as environments scale.
Leadership Perspective
The brief positions AI factory operations as involving coordination of infrastructure, networking, and operations as a unified system rather than separate efforts. It describes the operational scope as including orchestration across dynamic environments, multi-tenancy across application and network infrastructure, and streaming operations driven by real-time telemetry.
It concludes by stating that combining network orchestration, deep observability, and AI-driven operations on Red Hat Enterprise Linux and Red Hat OpenShift is intended to bridge the gap between workload management and network operation.
Blog Signals brief is a fact-based summary of the vendor blog that describes an Aviz Networks and Red Hat approach for AI factories and enterprise networks, focusing on ONES orchestration, ASN packet-level observability, and Network Copilot AI-assisted operations running on Red Hat Enterprise Linux and OpenShift.