Announcing Project Horizon: Why we're building a 2 gigawatt AI campus in Texas

We are standing at the precipice of a new industrial revolution, one driven not by steam or electricity, but by intelligence. At Reinforced, we believe that the future of artificial intelligence depends as much on physical infrastructure as it does on algorithmic breakthroughs. That is why we are excited to announce Project Horizon, our most ambitious infrastructure project to date. Located in the heart of Texas, this 2-gigawatt AI campus will serve as the backbone for the next generation of foundation models.

The Vision

As AI models grow exponentially in size and capability, the physical infrastructure required to train them must scale accordingly. We are no longer talking about standard data centers; we are talking about specialized compute environments that resemble particle accelerators more than server farms. Project Horizon isn't just a data center; it's a specialized compute environment designed from the ground up for massive-scale distributed training.

The current generation of models has already shown us the limitations of existing infrastructure. Latency, power density, and cooling capacity are becoming bottlenecks. Project Horizon addresses these head-on with a bespoke design optimized for the unique thermal and electrical characteristics of AI workloads. We are building a facility where the only limit to our models' growth is the laws of physics themselves.

Why Texas?

Selecting the location for a project of this magnitude was a rigorous process. We evaluated dozens of sites globally, looking for a confluence of factors: energy availability, grid stability, talent density, and regulatory environment. Texas emerged as the clear winner. Texas provides a unique combination of abundant renewable energy, a skilled workforce, and a business-friendly environment that makes it the ideal location for Project Horizon.

The state's energy grid, ERCOT, offers the resilience and flexibility needed for our operations. Furthermore, the local talent pool, enriched by world-class universities and a thriving tech sector, ensures that we will have the human capital necessary to operate this cutting-edge facility. We are proud to call Texas our new home for Project Horizon.

Engineering Challenges

Building a 2-gigawatt campus presents unprecedented engineering challenges. Power delivery alone requires substations capable of handling loads equivalent to a major city. We are deploying advanced high-voltage direct current (HVDC) transmission systems to minimize losses and ensure stable power delivery to the chip level. Cooling is another critical frontier; air cooling is insufficient for the thermal density of next-gen GPUs.

We are pioneering a hybrid liquid-cooling architecture that combines direct-to-chip cooling with rear-door heat exchangers. This system not only manages heat more effectively but also allows us to run our hardware at higher clock speeds for longer durations without thermal throttling. Every aspect of the facility, from the floor loading to the network topology, is being re-engineered for the AI era.

Sustainability

We are acutely aware of the environmental footprint of large-scale AI training. That is why sustainability is a core pillar of Project Horizon. We have committed to powering the campus with 100% carbon-free energy by 2030. We are partnering with local solar and wind developers to bring new renewable capacity onto the grid, ensuring that our growth stimulates the green energy economy.

Water conservation is equally important, especially in Texas. Our closed-loop cooling systems are designed to consume near-zero water for evaporation, a significant improvement over traditional evaporative cooling towers. We are also exploring waste heat recovery systems that could potentially provide heat to nearby industrial processes, turning a waste product into a resource.

The Economic Ecosystem

Project Horizon is more than just a facility; it is a catalyst for economic growth. We estimate that the construction phase alone will generate thousands of jobs, ranging from civil engineering to specialized trade labor. Once operational, the campus will employ hundreds of high-skilled technicians, network engineers, and security personnel, creating a long-term economic ripple effect in the region.

Beyond direct employment, we are building a supply chain ecosystem within Texas. We are encouraging our hardware partners and logistics providers to establish local hubs, reducing shipping times and further integrating the state into the global AI supply chain. This agglomeration effect will likely attract other high-tech firms, solidifying Texas's position as a global leader in AI infrastructure.

Safety and Security

Given the strategic importance of the models trained at Project Horizon, security is paramount. The campus is designed with a defense-in-depth approach, incorporating physical barriers, biometric access controls, and 24/7 surveillance. We are treating this facility as critical national infrastructure, with security protocols that rival those of top-tier government installations.

Cybersecurity is equally robust. The training clusters are air-gapped from the public internet, with data transfer occurring over secure, dedicated lines. We have implemented a zero-trust architecture for all internal networks, ensuring that even in the unlikely event of a perimeter breach, lateral movement is impossible. Protecting our intellectual property and the integrity of our models is our highest priority.

Timeline and Phases

Project Horizon will be developed in four distinct phases to ensure rapid deployment of capacity while allowing for iterative improvements. Phase 1, consisting of the first 500MW, is scheduled to come online within 24 months. This initial phase will focus on validating our new cooling and power distribution designs at scale.

Subsequent phases will follow in 12-month intervals, with each phase incorporating lessons learned from the previous ones. This agile construction methodology allows us to adapt to the rapidly evolving hardware landscape. By the time Phase 4 is complete, we expect to have the full 2 gigawatts operational, powering the training of models orders of magnitude larger than anything in existence today.

Community Integration

We believe in being good neighbors. Reinforced is launching a Community Partnership Fund to support local education and infrastructure initiatives. We are collaborating with local school districts and community colleges to create STEM curriculums and apprenticeship programs, ensuring that the next generation of Texans is ready to participate in the AI economy.

We are also holding regular town hall meetings to keep the community informed about our progress and to address any concerns. Transparency is key to building trust, and we are committed to an open dialogue with the residents and leaders of the region. We want Project Horizon to be a source of pride for the entire community.

Future Impact

The models trained at Project Horizon will not just be faster or smarter; they will be fundamentally more capable. They will help discover new drugs, solve complex climate models, and power personal assistants that truly understand us. This campus is the forge where the tools of the future are being hammered out.

By investing in this level of infrastructure, we are ensuring that the benefits of AGI are realized sooner rather than later. Project Horizon is a bet on the future—a future where abundance is created through intelligence, and where humanity has the tools it needs to solve its greatest challenges. We are just getting started.