AI data centers are putting pressure on more than GPU’s, power and cooling
The physical and network infrastructure connecting those systems is also having to scale for higher density, faster deployment and increasingly complex operations. Belden is positioning itself around that infrastructure challenge, with recent developments spanning high-density fibre, networking, automation and AI-ready data-centre systems. The company recently launched a new portfolio of connectivity and infrastructure products, including an expanded ACX 4U panel and 12-port MPO adaptor strip for high-density data-centre deployments. They say the system supports up to 384-fibre and 192 MPO-12/8 ports in a 4U footprint.
Fibre density becomes an AI issue
For conventional data centers, cabling density is largely an efficiency and space management concern – AI changes the equation. As accelerator clusters increase the number and speed of connections between servers, switches and storage, physical-layer infrastructure has to accommodate more connectivity without consuming disproportionate rack or pathway space. Belden’s approach is to combine high-density fibre and copper connectivity with racks, power distribution and other infrastructure. The company says it’s pre-terminated solutions are designed to accelerate deployment, while smaller-diameter cabling can improve airflow and pathway capacity in high-density environments. For operators, this makes the physical network part of the AI capacity equation.
Networking moves further up the stack
Belden’s recent acquisition of RUCKUS Networks also changes the company’s networking proposition; RUCKUS brings enterprise switching, Wi-Fi and AI-driven network management capabilities into Belden’s portfolio – this is relevant to AI infrastructure as networking becomes an increasingly important part of cluster design. The challenge is no longer simply providing enough ports, operators need predictable connectivity, high bandwidth, resilience and visibility across increasingly distributed infrastructure.
Cooling and control are part of the picture
Belden’s AI data center strategy extends beyond connectivity. In April, they partnered with OptiCool to combine their racks and cabinets with rear-door heat exchangers designed for high-density AI workloads stating the integrated solution can support up to 120kW per rack and is intended to help operators deploy AI infrastructure into existing facilities. Their current portfolio also includes automation and control solutions for cooling loops, heat rejection and power management, alongside networking and cybersecurity.
Building the infrastructure around the compute
Belden’s recent moves point towards a broader change in AI data-centre design: The physical layer, network, power, cooling controls and operational technology increasingly have to work as one system. For AI data center operators the lesson is practical: scaling compute capacity also means scaling everything around it. The next generation of AI facilities will be constrained not just by how much compute they can install, but by how efficiently the infrastructure connecting and supporting that compute can scale.
