Enterprise networks have shifted from background infrastructure to the platform that determines whether AI workloads scale or stall. The 2026 AI Networking Summit brings together practitioners, architects, and decision-makers actively tackling this challenge. PLVision will be there to demonstrate how open, SONiC-powered networking performs in real production environments – beyond architecture diagrams and into day-to-day operations.
PLVision is heading to the 2026 AI Networking Summit, hosted by ONUG at the Hyatt Regency in Frisco | Dallas on May 13–14, 2026. The Summit is where enterprise IT teams come to move past AI experimentation and into real deployment – and the network is front and center. From AI fabric architecture to agentic operations to open NOS at scale, this is where the conversations that matter are happening.
We will also be participating in the SONiC Showcase – a dedicated program running alongside the Summit, co-organized by ONUG and the SONiC community. It’s exactly the kind of environment where PLVision belongs – and where the conversations go deeper than the main floor. Come find us there if you want to get into the specifics of what running SONiC in production actually looks like.
PLVision has been building production-grade networking software on open-source foundations for years. We work hands-on with SONiC, SAI, and disaggregated hardware platforms – and we bring that experience directly into the conversations we have at events like this one. If your team is planning, piloting, or already running SONiC, we have something useful to talk about.
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What PLVision Delivers
We build networking software, help companies ship products, adopt open NOS, and get the most out of disaggregated hardware:
- Custom product development based on open-source technologies.
- Network infrastructure transition to open NOS, such as SONiC adoption for enterprise networks and generating Community SONiC hardened images for data centers.
- SONiC Lite, PLVision’s enterprise distribution of Community SONiC, designed for cost-effective management and access platforms. It’s ideal for less demanding networking equipment in data center, campus, and edge deployments.
- Embedded SONiC Lite – a containerless, resource-efficient NOS that runs on just 1-2 GB of RAM and minimal flash storage, built for OEMs and ODMs targeting cost-efficient edge and campus networking.
- Open NOS enablement and customization for hardware, encompassing SONiC-DASH API implementation, porting Community SONiC to your hardware, offloading xPU/SmartNIC customization and support.
- SAI Launchpad by PLVision, a production-grade SAI solution for your ASIC that helps make NOS integration, testing, and delivery faster and lower risk. It is designed to help ASIC companies and solution builders implement, integrate, and validate SAI adapters on the path to a SONiC-ready product.
We work the way good engineering partners should: by understanding the problem first, then scoping the solution around what will actually work for your team and timeline.
Reach out ahead of the event and let’s line something up.
About PLVision
As a European leader in open, disaggregated technologies, PLVision delivers custom vendor-agnostic software networking solutions, giving you full control, lower costs, and future-ready scalability. We offer complete solutions, from A to Z. No matter who you are – a startup or an enterprise – we will become your magic wand.
About the AI Networking Summit
Organized by ONUG, the AI Networking Summit is the annual gathering where enterprise network and IT teams go from AI ambition to AI readiness. The 2026 edition runs May 13–14 at the Hyatt Regency in Frisco | Dallas, covering AI Infrastructure, AI Networking, AI Security, and AI Automation across keynotes, practitioner sessions, and a 40+ vendor solutions showcase.
About the SONiC Showcase at the AI Networking Summit
The SONiC Showcase is a dedicated program running inside the AI Networking Summit, co-organized by ONUG and the SONiC community. The program targets three areas: confidence in adoption through practical deployment models and migration playbooks; AI-ready networking covering GPU cluster support, RDMA, and congestion control; and operational excellence through automation, lifecycle management, and observability.