Nokia has opened an AI Networking Innovation Lab in Sunnyvale, California, creating a new hub for co-development and validation of next-generation AI data center networking technologies. The facility will focus on large-scale AI training and real-time inference environments, where network performance, congestion management, telemetry, and automation have become critical bottlenecks for hyperscale and enterprise AI deployments.
The new lab serves as both a testing ground for Nokia Validated Designs (NVDs) and a collaborative environment for ecosystem partners developing AI infrastructure technologies. Early participants include AMD, Keysight Technologies, Lenovo, Supermicro, VIAVI Solutions, Weka, Nscale, and Everpure. Nokia said the facility will integrate advanced AI networking protocols, switching silicon, hardware platforms, and emerging architectural approaches optimized for AI-centric environments, including scale-across and AI-Grid designs.
According to Nokia, the lab is organized around three primary functions: technology innovation, ecosystem collaboration, and validation. The company said partners can use the environment to test interoperability, evaluate congestion behavior, emulate AI training workloads, and validate operational automation under real-world conditions. Keysight noted that the lab already supports benchmarking across multiple AI transports, including UEC, RoCEv2, and emerging lossless fabric architectures. AMD emphasized the importance of open, standards-based AI networking environments that avoid vendor lock-in and support heterogeneous AI infrastructure deployments.
- Located in Nokia’s Sunnyvale, California facility
- Focused on AI-native networking for large-scale training and inference
- Supports validation of Nokia Validated Designs (NVDs)
- Includes testing for congestion control, telemetry, automation, and interoperability
- Early ecosystem partners include AMD, Keysight, Lenovo, Supermicro, VIAVI, Weka, Everpure, and Nscale
- Supports AI networking architectures including scale-across and AI-Grid
- Designed to validate multi-vendor AI infrastructure deployments before production rollout
“The launch of Nokia’s AI Networking Innovation Lab marks a major milestone in our commitment to drive the next era of AI-native connectivity,” said Rudy Hoebeke, Vice President of Software Product Management at Nokia. “This center gives our customers and partners early access to new technologies, deeper collaboration with the world’s leading AI ecosystem players, and the confidence that their networks are validated under more realistic AI conditions.”
🌐 Analysis: Nokia continues to expand beyond its traditional telecom infrastructure roots into AI-focused data center networking, where vendors are racing to address the scaling challenges associated with distributed GPU clusters and AI factories. The company has increasingly emphasized Ethernet-based AI fabrics, automation, telemetry, and open ecosystem interoperability as hyperscalers and sovereign AI operators seek alternatives to vertically integrated networking stacks.
🌐 The launch also reflects the broader industry shift toward large-scale validation labs that combine switching silicon vendors, GPU providers, storage platforms, and test instrumentation into unified AI infrastructure environments. Similar initiatives are emerging across the AI ecosystem as networking increasingly becomes a determining factor in GPU utilization, cluster efficiency, and time-to-train for frontier AI models.
