In Focus: DriveNets

🌐 DriveNets
Cloud-Native Network Software for AI Infrastructure and Service Provider Networks
DriveNets develops cloud-native networking software that enables operators and hyperscalers to build large-scale networks using disaggregated hardware and a unified software architecture. Its Network Cloud platform virtualizes routers, switches and AI fabrics across clusters of white-box systems, providing a scalable alternative to traditional monolithic networking appliances. More recently, the company has expanded into AI networking with high-capacity Ethernet fabrics designed for hyperscale GPU deployments.
Why It Matters As AI clusters and cloud networks scale toward hundreds of thousands of accelerators, network operators increasingly require software-defined architectures that simplify deployment while allowing capacity to grow incrementally. DriveNets applies cloud operating principles to networking, enabling routers and AI fabrics to scale horizontally across standard hardware platforms.
Founded2015
HeadquartersRa’anana, Israel
Chief Executive OfficerIdo Susan
Core Technologies Network Cloud • Network Cloud-AI • Cloud-Native Network Operating System • Disaggregated Networking • Distributed Routing • Ethernet AI Fabrics • Network Virtualization
Key Products Network Cloud • Network Cloud-AI • AI Fabric Manager • DriveNets 2600SL • DriveNets 2601S • Distributed Router Platform • Cloud-Native Routing Software
Key Markets AI Infrastructure • Hyperscale Cloud • Service Provider Networks • Internet Backbone • Data Center Networking • Ethernet Fabrics • Edge Networks
Editorial Coverage Converge Digest tracks DriveNets across cloud-native networking, distributed routing, AI Ethernet fabrics, hyperscale networking, scale-up and scale-out AI architectures, data center switching, network disaggregation and next-generation service provider infrastructure.
Industry Context DriveNets was among the first companies to apply cloud-native software principles to carrier-class routing. Its architecture separates networking software from proprietary hardware, enabling operators to deploy large distributed systems built from merchant silicon. The company’s recent expansion into AI networking extends this architectural model to Ethernet fabrics supporting large-scale GPU clusters using Broadcom Tomahawk-based platforms.
Related Knowledge Hubs DriveNets
AI Infrastructure
Data Center Networking
Ethernet
Service Providers
Network Operating Systems