Gigascale Data Center Campuses Built for Gigawatt-Scale AI Workloads

Data center campuses with the rare capability to offer 1+ GWs of power in a single location.

Gigascale data centers require a different kind of infrastructure

The infrastructure that powers traditional hyperscale deployments is reaching its limits. Gigascale data centers demand an entirely different approach. These campus-scale developments require gigawatt-level power capacity, extreme rack densities for GPU clusters, multi-phase expansion capabilities, ample financing, and delivery timelines measured in years, not decades. Most providers can't secure this level of power or execute at this scale.

In a market where gigawatt-scale power in a single location is incredibly scarce and timelines are unforgiving, hesitating on procuring capacity doesn't just slow you down. It puts your entire gigascale data center deployment roadmap at risk.

EdgeCore was built specifically for these requirements, from the ground up.

Gigawatt-scale capacity secured. EdgeCore's Louisa County campus delivers 1.1+ GW of power capacity, with infrastructure and land capable of supporting expansion.

Power

Engineered for next generation workloads. Our campuses support rack densities well over 50 kW with infrastructure designed to accommodate direct-to-chip liquid cooling for the largest GPU training clusters.

Density

Campus-scale development at unprecedented size. EdgeCore's Louisa County campus is planned for well over 1 GW and 3.9 million square feet of high-density space at full buildout.

Scale

Campus-scale delivery, accelerated timelines. Pre-permitted sites, secured gigawatt power allocations, and repeatable designs mean we deliver campus-scale capacity faster.

Speed

Positioned within network striking distance of Ashburn. Our Louisa County campus provides low-latency access to Northern Virginia's fiber corridor while offering the land and power required for gigawatt-scale deployments.

Connectivity

Zero customer milestones missed. EdgeCore has never missed a customer milestone. When you're deploying at gigascale, execution certainty isn't optional.

Certainty

Gigascale capacity in Louisa County, Virginia

EdgeCore's 1.1+ GW data center campus in Louisa County is positioned within network striking distance from Ashburn while offering the land and power availability required for gigawatt-scale deployments. Located in the Shannon Hill Regional Business Park, the campus is planned for over 3.9 million square feet of high-density space at full buildout.

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Frequently asked questions

What is a gigascale data center?
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.

How is a gigascale data center different from a hyperscale data center?
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.

What type of workloads require gigascale data center infrastructure?
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.

Where are gigascale data centers located?
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.

Do gigascale data centers use direct-to-chip liquid cooling?
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.

How long does it take to build a gigascale data center?
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.

What makes EdgeCore's Louisa County campus a gigascale data center?
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.

Can gigascale data centers support both training and inference workloads?
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.