Nokia’s New Facility to Cater to Network Infrastructure Clients, Including Data Center Operators
Nokia has unveiled a new laboratory dedicated to serving clients in the network infrastructure sector, with a particular focus on those operating data centers prepared for the AI era.
Located in northern Valley of Mexico, this laboratory will cater to clients across the Latin American region. It will enable demonstrations of Nokia’s cutting-edge solutions, hardware, and software, conduct homologation tests to meet standards, and perform interoperability tests with other vendors and clients’ current networks.
Comprehensive Nokia Portfolio Available
The laboratory houses the complete suite of Nokia’s solutions, hardware, and software for data center technologies including GPON, WDM, WiFi 5 and 6, FWA, as well as IP and optical security technologies. It includes both the latest generation equipment and previous generations to validate interoperability.
“We are witnessing the dawn of the AI supercycle, which necessitates new networks and data centers adapted to this new era. Nokia responds with a new range of connectivity solutions featuring ultra-low latency, intelligent automation, high security, and reliability for data centers. This new laboratory is part of our support resources for clients across Latin America,” said Santiago Escalona, Director of Network Infrastructure Business Development for Nokia in Latin America.
Strong Focus on AI-Ready Data Centers in 2025
In 2023, Nokia has emphasized AI-ready data centers through strategic acquisitions like Infinera, creating a leading optical innovation giant capable of driving data center revolution. They also launched Nokia Autonomous Network Fabric, the first set of AI models trained by telecom operators, integrated security, and AI applications to accelerate network automation and enable easy implementation of new services.
Key Partnerships for AI-Ready Data Centers
Nokia has formed alliances with Microsoft Azure to supply switches and routers for their data centers in 30 countries, partnered with Nscale for AI-ready data center development—including a Nokia investment in Nscale—and with Nvidia to develop the next-generation 6G AI-RAN networks, an agreement that included a $1 billion Nvidia investment in Nokia.
Importance of Updating Networks for AI-Ready Data Centers
Most AI workloads require greater computational capacity than traditional computing applications and often involve exchanging large data volumes.
There are two primary types of AI workloads: AI training, which includes data collection, model selection, training, and deployment; and AI inference, involving deploying trained models to serve users and respond to inputs or queries in real-time.
Given these demands, new data centers need well-designed networks capable of handling the stringent requirements of AI workloads, ensuring fluid and reliable connectivity through AI infrastructure and delivering optimal performance for each AI training and inference task.
Key Questions and Answers
- Q: Who is Nokia and why is this relevant?
Nokia is a global telecommunications and network equipment company. This new laboratory demonstrates their commitment to supporting clients in the Latin American region, particularly those preparing for AI-driven data center operations.
- Q: What services will the laboratory provide?
The lab will offer demonstrations of Nokia’s latest network solutions, hardware, and software. It will also conduct homologation tests to meet industry standards and interoperability tests with other vendors and clients’ networks.
- Q: Why is updating networks crucial for AI-ready data centers?
AI workloads demand greater computational capacity and involve large data exchanges. Networks must be well-designed to handle these stringent requirements, ensuring optimal performance for AI training and inference tasks.
