Artificial Intelligence (AI) is no longer a concept of the future—it’s the driving force of today’s digital transformation. As enterprises, hyperscalers, and financial institutions demand more processing power closer to their users and data sources, the need for strategically placed AI infrastructure has never been greater. At NJFX, we believe the next evolution in digital infrastructure starts at the edge—specifically, at the cable landing station (CLS).

Traditionally, cable landing stations served as passive gateways where subsea cables reached terrestrial networks. But NJFX has redefined this model by transforming our CLS into a full-fledged carrier-neutral colocation hub. This paradigm shift now makes it possible to host high-density, AI-ready infrastructure directly at the CLS—bypassing congested metro routes and enabling faster, more resilient data processing.

The Emergence of Hybrid Cable Landing Stations
The industry is witnessing a significant shift with the rise of hybrid cable landing stations. These facilities integrate subsea connectivity with AI processing capabilities, enabling localized compute power at network entry points. This evolution supports the growing demand for distributed inference deployments, moving beyond traditional hyperscaler models. As noted in Total Telecom, hybrid CLSs allow:

• Lower latency, with AI workloads processed closer to the end user
• Greater flexibility for deploying inference at strategic global entry points
• Modular scalability, adapting to evolving infrastructure needs

Total Telecom also emphasizes that hybrid cable landing stations reduce the need for long-haul data transport, cutting latency for AI-driven applications while optimizing bandwidth utilization.

As these shifts take hold, investors and data center operators must rethink long-term strategies. The move away from ultra-large AI campuses suggests that speculative hyperscaler builds may carry greater risk, particularly those requiring extensive power commitments. Instead, mid-sized deployments of 1MW/5MW/20MW and modular colocation models are becoming more attractive investment targets. This approach enables customers to scale their infrastructure in a secure and manageable way, aligning with operational budgets and long-term digital transformation goals.

For enterprises, the ability to leverage regionalized AI infrastructure offers cost advantages while reducing reliance on traditional hyperscaler platforms. GPU-as-a-service providers and enterprise-owned AI deployments are also gaining traction, further diversifying the AI infrastructure landscape.

Why Edge AI Begins at the Shoreline
The rise of AI inference workloads demands low latency, high throughput, and proximity to data sources. Hosting AI edge nodes at the CLS offers a unique advantage:

• Proximity to Global Data Flows
  With direct access to subsea cables connecting North America to Europe, South America, and the Caribbean, NJFX is a global crossroads for data—ideal for AI applications relying on real-time international data ingestion.

• Low Latency Performance
  By connecting directly to the cable landing station, NJFX enables diverse network pathways to legacy hubs like Ashburn, NYC, and Miami—or entirely avoids these congestion points through unique routing options. This provides customers with lower latency and highly resilient options for real-time inference, improving performance for AI-driven applications and mission-critical data workloads.

• High-Density Power & Cooling Capabilities
  NJFX’s first floor features a 4.5MW water-cooled data hall, purpose-built for power-intensive AI applications. The second floor offers air-cooled capacity of up to 500kW, with rack densities reaching 40kW—ideal for modular AI deployments.

A New Standard for AI Infrastructure
AI is only as powerful as the infrastructure behind it. At NJFX, we’ve built a facility that scales intelligently and sustainably. Whether supporting GPUs, DSP’s, or other AI accelerators, we offer:

• Modular deployment options for phased rollouts
• Access to 35+ global and terrestrial network operators for diverse, low-latency routing
• A secure, Tier 3 environment designed for uptime and resilience
• Water-based cooling systems to support high density MW deployments

Enabling AI Ecosystems Through Partnership
The future of AI isn’t built alone. NJFX partners with cloud providers, hyperscalers, hardware vendors, and global carriers to offer a collaborative ecosystem. With our strategic location and carrier-neutral design, we empower organizations to deploy purpose-built AI infrastructure—from core training clusters to distributed inference nodes—right at the intersection of global and terrestrial connectivity.

To meet growing AI data demands, Boldyn Networks recently deployed Ciena WaveLogic 6 technology at NJFX, offering wavelength service that is scalable up to 1.6 Tb/s. This investment enables the bandwidth and optical networking capabilities required for AI-intensive workloads, delivering high-capacity, low-latency connectivity directly to NJFX tenants and interconnection partners.

Future Outlook: CLS at the Forefront of Connectivity
As emphasized by SubTel Forum, the transformation of CLS is reshaping the global connectivity landscape. As key enablers of international data traffic, they are becoming essential components of the digital ecosystem. With continued advancements in technology, strategic planning, and a focus on sustainability, CLS are poised to ensure seamless, resilient, and efficient global communications for years to come.

AI innovation doesn’t stop at the data center core—it extends to the edge. As global data flows increase and inference becomes more distributed, cable landing stations are evolving into essential hubs for intelligent infrastructure. NJFX is proud to lead this transformation, empowering the next generation of AI through unmatched connectivity, high-performance colocation, and a truly global reach.

The future of AI infrastructure is fast, intelligent, and strategically located—and it’s already happening at the NJFX Cable Landing Station.