Skip to main content

Aviz ONES 2.0: Enhancements for SONiC-based AI Fabrics

Source Decision Insights Coverage Published November 20, 2025 Companies 2
Human View Machine View

2 companies named across 12 categories, one of 147 articles referencing Sonic. Previous coverage: Aviz Networks Discusses 40% TCO Savings with 400GbE Network Infrastructure (Nov 2025).

Companies mentioned

Best suited for

Decision stage
Where to buy
Adoption curve
Early Majority
Industry
Information Technology / Software & Services / IT Services / Cloud Services

Our classification, not the publisher's statement. Best suited for, not only for.

Aviz ONES 2.0 introduces enhancements designed for SONiC-based Artificial Intelligence (AI) fabric networks, focusing on improved data transfer capabilities and real-time monitoring. This update is pertinent for IT leaders considering advanced networking technologies to support AI workloads.

Technology Overview

ONES 2.0 utilizes Remote Direct Memory Access (DMA) (RDMA) over Converged Ethernet (RoCE) to facilitate high-throughput, low-latency communications essential for real-time AI Operations (AIOps). The technology boosts training speeds, allowing for efficient data movement while reducing latency.

Traffic Monitoring Features

This version enhances traffic monitoring by providing detailed metrics including Power Factor Correction (PFC) counters, Rx/Tx watermarks, and Quality of Service (QoS) drop counters. These tools offer administrators insights into traffic management and help to mitigate network congestion proactively.

Proactive Congestion Management

With proactive congestion management, ONES 2.0 can identify potential network bottlenecks early, which is particularly beneficial for AI workloads that depend on large data sets for model training and inference tasks.

Multi-Vendor Support

The ONES platform supports SONiC fabrics across various vendors, standardizing telemetry metrics and RDMA over Converged Ethernet (RoCE) data collection. It integrates with orchestration tools and third-party APIs, allowing for centralized monitoring and configuration in heterogeneous AI environments.

User Interface and Visualizations

ONES 2.0 features a user-friendly interface for visualizing RoCE traffic. It enables configuration of QoS, traffic flow maps, and provides insights into queue behaviors, aiding network operators in performance optimization.

Integration with Existing Systems

Through Representational State Transfer (REST) APIs and Prometheus exporters, ONES connects with third-party systems, allowing teams to correlate telemetry with application metrics, thereby enhancing observability across the network.

Benefits for Network Teams

Network operations, development operations, and AI infrastructure teams can leverage ONES’s unified telemetry and real-time dashboards to improve issue resolution and ensure alignment between network operations and AI performance objectives.

This update highlights essential developments in networking technologies suitable for AI applications, reflecting a fact-based summary of the original blog post.

Blog post, originally published by Nikhil Morey at Aviz Networks.

Mentions

Structured data (JSON-LD)

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

[
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#website",
    "@type": "WebSite",
    "name": "Decision Insights",
    "potentialAction": {
      "@type": "SearchAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://decisioninsights.ai/search/?q={search_term_string}&submit=1"
      }
    },
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    },
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#organization",
    "@type": "Organization",
    "contactPoint": {
      "@type": "ContactPoint",
      "contactType": "customer support",
      "email": "[email protected]"
    },
    "description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
    "logo": {
      "@type": "ImageObject",
      "url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
    },
    "name": "Decision Insights",
    "parentOrganization": {
      "@type": "Organization",
      "name": "Wiretap Labs",
      "sameAs": [
        "https://www.linkedin.com/company/wiretap-labs",
        "https://www.crunchbase.com/organization/wiretap-labs"
      ],
      "url": "https://wiretaplabs.com"
    },
    "publishingPrinciples": "https://decisioninsights.ai/standards/",
    "sameAs": [
      "https://www.linkedin.com/company/decisioninsights"
    ],
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai",
        "name": "Decision Insights",
        "position": 1
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/records/",
        "name": "Records",
        "position": 2
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/aviz-ones-2-0-enhancements-for-sonic-based-ai-fabrics/",
        "name": "Aviz ONES 2.0: Enhancements for SONiC-based AI Fabrics",
        "position": 3
      }
    ]
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/aviz-ones-2-0-enhancements-for-sonic-based-ai-fabrics/#blogposting",
    "@type": "BlogPosting",
    "about": {
      "@id": "https://decisioninsights.ai/registry/aviz-networks/#organization",
      "@type": "Organization",
      "mainEntityOfPage": "https://decisioninsights.ai/registry/aviz-networks/",
      "name": "Aviz Networks"
    },
    "articleSection": [
      "Artificial Intelligence",
      "Networking",
      "Data Center",
      "Network Operator"
    ],
    "audience": [
      {
        "@type": "Audience",
        "additionalType": "Adoption curve",
        "audienceType": "Early Majority"
      },
      {
        "@type": "Audience",
        "additionalType": "Industry",
        "audienceType": "Information Technology / Software & Services / IT Services / Cloud Services"
      }
    ],
    "author": {
      "@id": "https://decisioninsights.ai/author/decision-insights-coverage/#person",
      "@type": "Person",
      "name": "Decision Insights Coverage",
      "url": "https://decisioninsights.ai/author/decision-insights-coverage/"
    },
    "dateModified": "2026-08-23T13:12:13-06:00",
    "datePublished": "2025-11-20T08:50:52-07:00",
    "description": "Aviz ONES 2.0 enhances SONiC-based AI fabrics with advanced telemetry for improved performance and real-time monitoring.",
    "headline": "Aviz ONES 2.0: Enhancements for SONiC-based AI Fabrics",
    "isBasedOn": {
      "@type": "CreativeWork",
      "author": {
        "@type": "Person",
        "name": "Nikhil Morey"
      },
      "sourceOrganization": {
        "@id": "https://decisioninsights.ai/registry/aviz-networks/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/aviz-networks/",
        "name": "Aviz Networks"
      },
      "url": "https://aviznetworks.com/resources/blogs/aviz-ones-2-0-closing-in-on-the-reality-of-sonic-based-ai-fabrics"
    },
    "keywords": [
      "AI Operations",
      "Direct Memory Access",
      "Monitoring",
      "Power Factor Correction",
      "Quality of Service",
      "RDMA over Converged Ethernet",
      "Representational State Transfer",
      "Telemetry"
    ],
    "mainEntityOfPage": {
      "@id": "https://decisioninsights.ai/aviz-ones-2-0-enhancements-for-sonic-based-ai-fabrics/",
      "@type": "WebPage",
      "sdDatePublished": "2026-08-23",
      "sdPublisher": {
        "@id": "https://decisioninsights.ai/#organization"
      }
    },
    "mentions": [
      {
        "@id": "https://decisioninsights.ai/registry/aviz-networks/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/aviz-networks/",
        "name": "Aviz Networks"
      },
      {
        "@id": "https://decisioninsights.ai/registry/sonic/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/sonic/",
        "name": "Sonic"
      },
      {
        "@id": "https://decisioninsights.ai/projects/prometheus/#project",
        "@type": "SoftwareSourceCode",
        "mainEntityOfPage": "https://decisioninsights.ai/projects/prometheus/",
        "name": "Prometheus"
      },
      {
        "@id": "https://decisioninsights.ai/projects/sonic/#project",
        "@type": "SoftwareSourceCode",
        "mainEntityOfPage": "https://decisioninsights.ai/projects/sonic/",
        "name": "Software for Open Networking in the Cloud (SONiC)"
      }
    ],
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    }
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/author/decision-insights-coverage/#person",
    "@type": "Person",
    "description": "Blog posts, podcasts, and video analysis from across the industry, condensed into short, sourced summaries. Produced under our Standards & Methodology.",
    "name": "Decision Insights Coverage",
    "sameAs": [
      "https://www.linkedin.com/showcase/decisioninsights/"
    ],
    "url": "https://decisioninsights.ai/author/decision-insights-coverage/"
  }
]

Is this your company? Get structured data for your own pages