Sabey Data Centers’ Manhattan facility is emerging as a key hub for AI inference, giving enterprises a way to run real-time, AI-powered services in the heart of New York City. Located at 375 Pearl Street, the site combines immediate high-density capacity with proximity to Wall Street, media companies and other major business hubs, positioning AI infrastructure closer to users, data and critical partners.
The facility offers nearly one megawatt of turnkey capacity today, with an additional seven megawatts available across powered shells, allowing organizations to scale from pilots to production without relocating workloads. Engineered for high-density, GPU-driven environments, SDC Manhattan supports modern AI architectures while maintaining the resiliency and operational excellence that define Sabey’s portfolio.
Carrier-neutral connectivity and direct, low-latency access to New York’s network and cloud ecosystems make the facility an ideal interconnection point for latency-sensitive AI applications such as trading, risk analysis and real-time personalization. This is increasingly important for the industry as AI becomes embedded in core business processes, where milliseconds directly affect revenue, user experience and competitive differentiation. Locating inference closer to these ecosystems helps operators overcome limitations of distant, centralized infrastructure and unlock more responsive, data-rich services.
“The future of AI isn’t just about training, it’s about delivering intelligence at scale,” said Tim Mirick, President of Sabey Data Centers. “Our Manhattan facility places that capability at the edge of one of the world’s largest and most connected markets. That’s an enormous advantage for inference models powering everything from financial services to media to healthcare.”
By positioning its Manhattan site as an AI inference hub, Sabey Data Centers helps enterprises place their most advanced workloads where connectivity, capacity and proximity converge, aligning AI-optimized infrastructure with trusted, mission-critical operations. For the wider digital infrastructure landscape, this approach signals how urban data centers can evolve to meet the demands of AI at scale. This will bring intelligence closer to the markets it serves and set a direction for how facilities in other global metros will need to adapt as AI adoption accelerates.
To learn more about Sabey’s Manhattan data center, visit sabeydatacenters.com.
