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September 17, 2025
OcNOS Demo VM – 6.6.1 New Release
We are pleased to announce the new version of OcNOS Demo VM, which incorporates additional features introduced in the OcNOS 6.6.1 release. Continuing our commitment to empower Network Disaggregation, the OcNOS 6.6.1 release has introduced a host of new features on its several supported hardware platforms.  Read more about what it offers for Service Providers […]
September 4, 2025
RSVP Auto Bypass on OcNOS
RSVP Auto Bypass: Automating MPLS Resiliency at Scale Building A single fiber cut. A router outage. A failed link between two cities. It doesn’t take much to bring a network to its knees. In traditional MPLS networks, engineers had to preconfigure backup tunnels for every possible failure scenario. This meant hours of painstaking manual work, […]
August 29, 2025
The AI Network Decision Framework: A Guide to Speed, ROI, and Strategic Freedom
Building a Future-Ready AI Network Building a high-performance AI data center is a critical investment for enterprises aiming to lead in the AI era. While GPUs provide computational power, the network serves as the backbone, ensuring seamless data flow to optimize return on investment (ROI). A suboptimal network can reduce GPU efficiency by up to […]
August 28, 2025
Introducing IP Maestro Demo VM
Try before you buy, easy hands on IP Maestro Demo VM is available for download now! Try before you deploy. IP Maestro 3.1 introduces a downloadable Demo VM, enabling customers to evaluate the element management system (EMS) in their own environment. Available from the IP Infusion website Ideal for trials, training, and proof-of-concept deployments Download […]
August 15, 2025
IP Maestro 3.1 is Here – Smarter, Faster Element Management System
We’re excited to announce the General Availability of IP Maestro 3.1, the latest release of IP Infusion’s Element Management System (EMS) for OcNOS-based networks. This release delivers greater automation, broader network visibility, and improved integration, making it easier than ever to manage complex service provider and data center environments. What’s New in IP Maestro 3.1 […]
August 14, 2025
Simplifying OcNOS Configuration Backups With Ansible
Configuration Backups Configuration backups are an important topic for any network operations team, whether it be a service provider or an enterprise IT system. There are various ways to do this, ranging from off-the-shelf products to built-in tools (in the case of VMs), depending on what systems you use. It’s not surprising that this comes […]
July 22, 2025
OcNOS in Containerlab – Part 2: Platform Analysis for Linux, Windows, and MacOS
If you’re building labs with Containerlab, you’ve probably run into the same platform challenges I have. My previous guide, Containerlab + OcNOS home lab, focused on a budget-friendly Linux mini-PC. Since publishing that, I’ve fielded questions from readers about Mac support, Windows workflows, and hybrid setups like WSL2 or Colima. Over the July 4th weekend, […]
July 16, 2025
Flex-Algo in OcNOS: Optimizing Network Paths Using Link Delay
In our last blog, we introduced Flexible Algorithms (Flex-Algo) and how TE-metric empowers networks to steer traffic intelligently, much like planning a delivery route based on road capacity, congestion, or cost. We showed how businesses can prioritize critical services like video conferencing over bulk data transfers, using custom traffic engineering values. Now, let’s take the […]
July 8, 2025
OcNOS 6.6.1 Available Now
New Features for Segment Routing and Ethernet-based AI Fabric What’s New in Our Upcoming OcNOS Release: Performance, Resilience, and Expanded Feature Support As part of our commitment to continuous innovation and high-performance networking, we are excited to announce the upcoming release of our next software update OcNOS 6.6.1. This release introduces a robust set of […]
July 8, 2025
OcNOS Data Center for AI/ML Workload Transport Available Now: Advanced Traffic Engineering For Tomahawk 5-Based Ethernet Switches
Introduction IP Infusion’s OcNOS Data Center 6.6.1 release enables a powerful and high-performance Ethernet switch platform based on Broadcom’s Tomahawk 5 ASIC to meet the demanding needs of AI/ML data center fabrics. As AI/ML training clusters scale exponentially, traditional switching solutions fall short in handling the intensive east-west traffic patterns and latency and packet loss […]