Aerial concept rendering of the Project Jupiter AI data center campus in the southern New Mexico desert, showing data center buildings, a battery energy storage system, substation, and transmission lines connecting to the regional grid.
Project Jupiter Data Center
AI Data Center • Santa Teresa, New Mexico

Project Jupiter Data Center and Community Screening Strategies

What Is Project Jupiter?

Project Jupiter is one of the largest artificial intelligence data center developments currently under construction in the United States. Located near Santa Teresa, New Mexico, the project is designed to support the growing demand for AI computing, cloud infrastructure, and large-scale data processing. As artificial intelligence continues expanding across nearly every industry, facilities such as Project Jupiter are becoming a critical part of the nation’s digital infrastructure.

The project has also become an example of a challenge communities across the country are beginning to face. While data centers bring investment, jobs, and technology infrastructure, they can also raise concerns regarding visual impacts, equipment noise, lighting, power infrastructure, and overall compatibility with surrounding properties.

As AI campuses continue growing in size, finding ways to balance infrastructure needs with community expectations will become increasingly important.

Why Are Nearby Residents Concerned About Large Data Centers?

Most public concerns surrounding hyperscale data centers involve visibility, noise, traffic, lighting, and the sheer scale of development. Modern AI facilities often include large buildings, electrical substations, cooling systems, backup generators, battery storage systems, and other supporting infrastructure spread across hundreds or even thousands of acres.

In many cases, the infrastructure itself is not the primary issue. Instead, concerns arise when equipment, buildings, and utility infrastructure become highly visible from public roads, homes, parks, or neighboring properties. Even when a project meets regulatory requirements, nearby residents may still feel that the facility dominates the landscape.

This is why visual screening and buffering strategies are becoming increasingly important components of modern infrastructure planning.

Ground-level view of a large data center with limited screening: chain-link fencing with visible generators, cooling equipment, and a substation along a desert roadway.
Large infrastructure projects often generate concerns regarding visibility, noise, lighting, and overall scale.

Why Was Project Jupiter Selected for Southern New Mexico?

Large-scale AI developments require enormous amounts of land, substantial electrical infrastructure, and room for future expansion. Southern New Mexico offers many of these advantages while providing access to major transmission infrastructure and the ability to support long-term growth.

Projects such as Project Jupiter are being developed during a period of unprecedented demand for computing power. Artificial intelligence workloads require significantly more energy and computing capacity than traditional data center operations, leading developers to seek locations capable of supporting future expansion over many years.

The selection of Santa Teresa reflects a broader trend occurring throughout the United States as technology companies search for locations capable of supporting the next generation of digital infrastructure.

Large AI campuses require substantial land, electrical infrastructure, and room for long-term expansion.

Can Visual Screening Reduce Community Opposition?

Visual screening is often one of the most effective ways to improve compatibility between critical infrastructure and surrounding communities. Historically, many facilities relied primarily on chain-link fencing and minimal landscaping. While functional, those approaches did little to address concerns regarding appearance and visual impact.

Today, many developers are exploring architectural perimeter walls, enhanced landscaping, preserved green space, walking trails, and community-facing design features that create a more attractive transition between infrastructure and neighboring properties.

The goal is not to conceal the existence of a project. Instead, the objective is to reduce the visual dominance of the facility and create a more balanced relationship between the infrastructure and the surrounding environment.

Projects that incorporate thoughtful visual buffering often experience improved public perception because the infrastructure becomes less noticeable from everyday viewpoints.

Why Are Noise Walls More Effective Near Equipment?

One of the most common misconceptions regarding infrastructure projects is that sound walls should be located at the property boundary. In reality, acoustical performance is often improved when sound attenuation barriers are positioned much closer to the source of the noise.

For data centers, this typically means locating engineered sound walls near generators, cooling systems, transformers, and other mechanical equipment. By intercepting sound closer to the source, the wall can often reduce noise before it travels across the property.

This concept creates an important distinction between aesthetic screening and acoustical performance. The best location for community-facing improvements is rarely the best location for noise mitigation.

As a result, many modern infrastructure projects are beginning to separate these functions rather than relying on a single barrier to accomplish both objectives.

What Is Layered Buffered Zoning?

Layered buffered zoning is an infrastructure planning approach that uses multiple layers of screening between critical infrastructure and surrounding communities. Rather than relying on a single fence or wall, separate elements are designed to perform specific functions.

A community-facing architectural wall may be located along public roads and neighboring properties where it can improve appearance, support landscaping, and create a visual buffer. Closer to the equipment, a significantly taller engineered wall may be used for sound attenuation, security enhancement, and screening of mechanical infrastructure.

This approach allows aesthetics and functionality to be optimized independently. The community experiences an attractive perimeter treatment, while the infrastructure benefits from more effective noise mitigation and security performance.

As AI campuses continue growing throughout the United States, layered buffering strategies may become an increasingly valuable tool for improving compatibility between large infrastructure projects and surrounding communities.

Street-level rendering of a layered buffer zoning strategy at Project Jupiter: a 12-foot Austin Stone architectural perimeter wall and public walking trail with native low-water plantings, backed by a 40-foot engineered acoustic wall screening mechanical equipment.
Separating community aesthetics from acoustical performance allows each buffer to perform its own intended function.

What Can Future AI Data Center Campuses Learn From Project Jupiter?

Project Jupiter illustrates a challenge that many future data center developments will face. The question is no longer whether additional digital infrastructure will be needed. The question is how these facilities can be integrated more successfully into the communities that host them.

Future projects may benefit from considering visual screening, landscaping, sound attenuation, and community-facing design features during the earliest stages of planning rather than after opposition develops. Incorporating these elements early often provides greater flexibility and better long-term results.

As artificial intelligence infrastructure continues expanding, projects that balance operational requirements with community expectations may be better positioned for long-term success.

Future AI infrastructure projects may benefit from incorporating visual screening, landscaping, and noise mitigation into the earliest stages of planning.

How Permacast Fortress Supports Data Center Infrastructure

Permacast Fortress develops precast concrete wall systems for data centers, substations, battery energy storage facilities, utility infrastructure, transportation projects, and other critical infrastructure applications throughout the United States.

Applications include visual screening, sound attenuation, ballistic protection, fire-rated barriers, perimeter security, anti-climb designs, and layered buffering strategies designed to improve compatibility between infrastructure projects and surrounding communities.

Planning a data center or critical infrastructure perimeter?

Talk to Permacast about architectural screening, sound, and security walls.

Paxton Craddock

About The Author

Paxton Craddock is Vice President of Permacast Walls and has more than twenty years of experience in the design, manufacturing, and installation of precast concrete wall systems for data centers, substations, battery energy storage systems, water treatment facilities, transportation infrastructure, and large-scale commercial developments throughout the United States.

For additional information, visit the full About the Author page.