Nokia announced the opening of its AI Networking Innovation Lab today. This brand-new facility operates inside Nokia’s existing Sunnyvale, California campus. The specialized center targets the development of next-generation networking technologies for artificial intelligence infrastructure. Additionally, it helps accelerate high-performance networking architectures built specifically for AI at scale.
The physical facility addresses the intense demands of large-scale AI training. It also supports distributed, real-time inference workloads. Emerging commercial hardware, software, and protocols will undergo testing here. Initial technology collaborators include AMD, Everpure, Keysight, Lenovo, Nscale, Supermicro, and Weka. The facility focuses on technology innovation, ecosystem collaboration, and validation.
“Partnering with Nokia in the AI Networking Innovation Lab has enabled us to benchmark and optimize AI networks under real-world conditions. Keysight emulated AI training workloads at scale across a range of AI transports, from UEC and RoCEv2 to emerging lossless fabric architectures. Together, we are helping accelerate AI network adoption by giving operators and hyperscalers the validated insights needed for confident, large-scale deployment,” said Ram Periakaruppan, VP and General Manager, Network Applications and Security business at Keysight.
“AMD believes customer collaboration and an open ecosystem are fundamental to accelerating AI innovation. By co-developing solutions with partners, such as Nokia in their AI networking innovation lab, we ensure our AMD enterprise AI solutions are tested with Nokia data center switches on real-world workloads and network demands. An open, standards-driven approach empowers customers to integrate seamlessly across heterogeneous environments, avoiding lock-in and fostering industry-wide advancement in AI,” said Travis Karr, Corporate VP, HPC and Sovereign AI, AMD.
Testing Blueprints for AI Native Connectivity
The facility serves as a critical testing ground for Nokia Validated Designs. Engineers test multi-vendor data center architectures under real workloads. They also evaluate failure scenarios, congestion behavior, and operational automation systems. This precise testing turns blueprint designs into proven solutions. Consequently, the process reduces deployment risks and operational complexity for organizations globally. Furthermore, technology partners experiment across the complete networking stack. Work inside the lab advances switching silicon, real-time telemetry, and advanced automation.
“Nokia is a strategic networking partner for Nscale as we build towards AI Grid, and the engineering rigour behind their Validated Designs reflects the kind of innovation needed to enable next-generation AI infrastructure. The depth of hardware, software, and failure testing behind those blueprints is what will give operators the confidence to deploy complex AI environments faster, with fewer integration risks and less operational disruption. We’re excited to collaborate in the AI Networking Innovation Lab to help push the boundaries of AI-native networking and validate the next generation of solutions before they reach production,” said Arno van Huyssteen, VP of Global Telecommunications for Nscale.
“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. As the industry continues to evolve with solutions like scale-across and AI-Grid, this lab is poised to accelerate AI networking technology that will not only support but also optimize these emerging industry offerings. 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. By accelerating innovation and reducing deployment risks, we’re enabling the industry to deliver faster, more reliable, and more sustainable AI experiences to people and businesses everywhere,” said Rudy Hoebeke, VP of Software Product Management at Nokia.
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News Source: GlobeNewswire.com
