As AI adoption accelerates, the focus is shifting from training massive models to deploying them—at scale, in real-time and as close to end-users as possible. Inference has become the critical bridge between innovation and impact. For enterprises and financial institutions in New York, that bridge can now run through Sabey Data Centers’ Manhattan facility at 375 Pearl Street.
At SDC Manhattan, Sabey is redefining what it means to deploy AI at the edge. With 7 MW of utility power, including 912 kW of turnkey capacity and two large powered shell suites, the facility is purpose-built for low-latency, high-density AI inference workloads that demand both reliability and reach. Located just steps from Wall Street, it offers something increasingly rare in the AI era: immediate proximity to users, markets and the data that drives decision-making.
Why Proximity Matters for AI Inference
Inference models thrive on responsiveness. Whether powering fraud detection, financial forecasting or real-time recommendation engines, the value of inference lies in minimizing latency between data and output. SDC Manhattan’s direct access to such a dense carrier market, major exchanges and cloud on-ramps makes it a natural fit for organizations that can’t afford microseconds of delay.
As financial services, media and healthcare organizations race to embed AI into daily operations, Sabey’s Manhattan facility provides the ideal blend of connectivity, compute density and operational excellence—a foundation designed to scale as workloads evolve.
Infrastructure Built for AI Workloads
SDC Manhattan was designed for flexibility. With liquid-cooling capable infrastructure and Sabey’s vertically integrated design and operations teams, customers can deploy GPU-based inference clusters efficiently and sustainably. Each powered shell suite offers customizable density configurations, giving enterprises the ability to tailor space, cooling and interconnectivity to their specific AI needs.
Every system in the building is managed with Sabey’s industry-leading operational standards, ensuring predictable performance in even the most demanding, data-intensive environments.
Part of a Broader AI Ecosystem
While SDC Manhattan represents the edge of AI inference, Sabey’s national footprint completes the ecosystem. Our Austin and Seattle campuses offer similarly inference-ready environments with dense connectivity and scalable capacity—ideal for regional and multi-market deployments. For AI training, our hyperscale campuses in Central Washington and Oregon deliver the power and efficiency required to build and refine the largest models on the market.
Together, these locations form a cohesive, sustainable platform for organizations pursuing the next generation of intelligent infrastructure.
Inference at the Edge of Innovation
AI inference represents the point where computing meets experience—where models shape actions, decisions and customer outcomes in real-time. By enabling inference in the heart of Manhattan, Sabey brings intelligence closer to the markets that depend on it most.
With SDC Manhattan, the future of AI isn’t just near—it’s already here.
