A gigascale data center is a campus-scale facility engineered to deliver 1+ gigawatt (1,000+ megawatts) of total power capacity. Unlike traditional hyperscale data centers, gigascale data centers represent the next evolution in infrastructure built to accommodate the largest AI training clusters and cloud deployments. These facilities feature multi-phase expansion capabilities, extreme rack densities, and direct-to-chip liquid cooling infrastructure designed for the most demanding GPU workloads.

The primary difference between gigascale and hyperscale data centers is scale. Hyperscale data centers typically deliver under 100 MW of power capacity, while gigascale data centers provide 1+ GW of campus-wide capacity across multiple buildings and phases. Gigascale data centers can also accommodate higher rack densities and advanced cooling systems for extreme GPU thermal loads, and offer larger campus footprints measured in millions of square feet rather than hundreds of thousands.

Gigascale data centers are built for the most demanding AI and cloud workloads including large-scale AI model training with tens of thousands of GPUs, distributed inference clusters requiring low-latency connectivity, high-performance computing applications, and hyperscale cloud services requiring massive expansion capacity. Organizations deploying foundation models, operating AI-first cloud platforms, or requiring multi-gigawatt capacity over time need gigascale infrastructure.

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Gigascale data centers require locations with three critical attributes: gigawatt-scale power availability from local utilities, proximity to major cloud and network hubs, and large land parcels capable of supporting multi-million square foot buildouts. EdgeCore's gigascale campus in Louisa County, Virginia combines all three: 1.1+ GW of power, network striking distance from Ashburn's fiber corridor, and 3.9 million square feet of planned space.

Yes. Gigascale data centers utilize advanced cooling technologies including direct-to-chip liquid cooling (DLC) in order to support rack densities required for current and future GPU generations. EdgeCore's gigascale infrastructure is designed to accommodate next generation cooling systems required for AI hardware through a combination of DLC and ultra-efficient closed-loop chilled water systems that require nearly no water to recharge their cooling effectiveness.

Building a gigascale data center requires multi-year timelines due to the scale of infrastructure required. Power procurement and utility coordination alone can take several years. However, providers like EdgeCore accelerate delivery through pre-permitted sites, secured power allocations, multi-phase development strategies and ample financial backing that enables pre-contract construction.

EdgeCore's Louisa County campus delivers 1.1+ GW of total power capacity, qualifying it as a true gigascale location. The campus is planned for 3.9 million square feet of high-density space at full buildout, features infrastructure capable of supporting high rack densities, and is positioned within network striking distance of Northern Virginia's fiber corridor. The combination of gigawatt-scale power, massive campus capacity, and strategic location makes it one of the most attractive gigascale data centers in the U.S.

Yes. Gigascale data centers are designed to support the full spectrum of AI workloads including large-scale training clusters, distributed inference deployments, and traditional cloud applications. The key advantage is flexibility: organizations can deploy some training clusters today while maintaining expansion capacity over time. Low-latency connectivity to major cloud hubs also makes gigascale campuses ideal for inference workloads that require real-time responsiveness.