AI
AI is undoubtedly the most significant emerging technology, advancing rapidly. The demand for data centers is soaring to the industry's increasing needs. However, this surge assumes various challenges. AI data centers are grappling with critical issues, primarily due to their high energy consumption, which puts pressure on existing power grids. Key concerns include sustainable water use for cooling, elevated carbon footprints, and significant stress on local infrastructure. These centers are often hindered by outdated cooling methods, rising operational costs, and the urgent need for infrastructure upgrades. Modern AI data centers can consume as much energy as a small city, requiring round-the-clock power, which can compromise grid reliability and result the reactivation of fossil fuel plants. The demand for electricity already surpasses the current grid capacity. They also use billions of gallons of water for cooling, particularly taxing on drought-affected areas. Studies estimate that AI-driven data centers are projected to consume 1.7 trillion gallons of water globally by 2027. The demand for water incurs significant costs in terms of time spent waiting for necessary permits, financial expenses to obtain these permits, and lost operational time, and in many parts of the world, it is outright denied. Additionally, backup diesel, used during outages, emit 200 to 600 times more nitrogen oxide (NOx) than natural gas plants. Many older facilities lack the capability to handle the high-density computing and heat generated by AI, highlighting the need for more advanced liquid cooling.
Operating on a global scale Wharton Technologies addresses all emerging critical issues with a comprehensive solution for energy, water, and cooling, while ensuring a net zero environmental impact through sustainable, clean technology. Our system enables you to operate your data center completely off-grid at any scale, offering you unparalleled freedom and control over your equipment. Our efficient hydrogen generators provide scalable power solutions, generating multiple carbon credits with innovative clean liquid hydrogen fuel, effectively meeting your energy needs while minimizing environmental harm. Additionally, we meet the significant cooling demands of the growing data center market by producing all necessary water in-house, eliminating dependence on local permits and infrastructure. With our advanced integrated cooling system, you can exceed your requirements and prepare your own infrastructure for the future of AI technology and data centers. The only path forward for AI is through Wharton.
Water
The primary issue facing the expanding AI industry is the previously unsolved excess water consumption. Inefficient yet necessary cooling systems are using up viable water at alarming rates, with the largest data centers consuming as much as 5,000,000 gallons daily. This situation raises concerns for both local and federal governments, in regions with available land but limited water resources, leading to delays or outright rejections of new business ventures and expansion plans. Wharton can effectively address these issues with our proprietary Atmospheric Water Towers (AWTs), which reliably generate potable water from the atmosphere, regardless of climate or humidity. Each system can produce up to 100,000 gallons of water daily and can be scaled to meet various needs. This water is vital to essential cooling systems and serves as a clean energy source, with any surplus used to generate steam for high-efficiency turbines. Our off-grid water system complies with global regulations, eliminating government delays related to water access and preserving revenue opportunities.
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100,000 GPD
Cost: $5 Million for machine
6c for each gallon of water produced
All water systems are scalable and plug and play.
Cooling
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The significant demand for water largely stems from the substantial cooling requirements of data centers, particularly for AI systems. High computing tasks, such as training and operating large AI models, produce excessive heat that traditional air conditioning cannot handle. Without sophisticated cooling solutions, servers risk performance throttling, hardware malfunctions, and shortened lifespans. Liquid cooling is often preferred due to its superior efficiency in heat transfer, being 3,000 times more effective than air cooling, which enables better and more stable computing performance. While cooling systems are essential to prevent overheating, they can consume millions of gallons of water daily, primarily through evaporation, which exacerbates local water shortages as up to 80% of this water does not return to usable reserves. Our Atmospheric Water Towers (AWTs) not only mitigate this issue but also enhance efficiency and efficacy. Operating on just 60 volts at 3 amps, our plug-and-play cooling system integrates seamlessly with existing racks and hardware, currently achieving a cooling efficiency of 12 volts for every 10,000 BTUs. We are collaborating with leading manufacturers to develop custom integrated units with the goal of reducing energy usage to under one volt for 10,000 BTUs of cooling. Whartons' chiller systems can achieve temperatures below zero, even the most demanding conditions.
Energy
The growing market faces another significant challenge: the need for large amounts of sustainable power. With an already strained infrastructure, the wait time for electricity rights for new data can stretch up to 7 years. Currently data centers in the US consume 4 Gigawatts of energy annually, a figure expected to soar to 123 Gigawatts by 2035. Existing energy systems are not prepared for this data center surge. Our energy production solution, featuring Hydrogen On Demand Reactors (HODs), Fuel Cell systems, and Nano Composite Solid State Batteries, functions cohesively within our Artificial Intelligence Centers (AICs). By utilizing a small amount of green off-grid energy, our pulse liquid hydrogen Gensets can generate between 1 and 20 Gigawatts per system, tailored to your needs. With all power need met on-demand, with plenty of safe back-up, energy will never be a bottleneck, and outages will never be a concern. For supplemental or smaller scale energy needs, we can also supply our Low Energy Nuclear Reaction (LENR) Liquid hydrogen generator. It produces 2MW of power from 12 gallons of liquid hydrogen fuel per hour. This system enables you to establish your own infrastructure to address current and future demands. Stay ahead the competition, who may face years of delays, and confidently begin generating income without bureaucratic hurdles, or a soon to be obsolete system.
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Plug and Play closed loop cooling system.
Traditional liquid cooling systems can only shift temperatures by 3°, ours can shift to sub-zero on Nvidia AI racks.
10,000 BTUs of cooling off of 10A/12V
Designed to chill up to 5 racks simultaneously
Full liquid hydrogen AIC GENSET for extreme power generation.
Major Industry Leaders Google and Nvidia are close to 1MW per rack.
LENR standard ICE liquid hydrogen generator.
61 Horsepower, Generates 2MW from 12 gallons of liquid hydrogen per hour. 75% reduced carbon emissions, 100% with nano carbon filtration scrubbers.
$2-3 Million deposit on lease.
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Cost Benefits
There are numerous expenses involved in establishing AI data centers, beyond initial setup costs like construction, equipment, and permits. Time and potential revenue loss are significant factors to consider. The interconnection process for securing electricity can take 1-2 years on average, with larger centers experiencing even longer delays. Ideally, water permits can take 6-18 months, but in areas with limited water resources, this can be much longer or even denied. These challenges can severely disrupt projects, especially as demand for new AI centers increases. New AI data centers require substantial capital, with construction costs typically ranging from $9 million to over $15 million per megawatt, often exceeding $20 million due to specialized requirements. A 1-gigawatt AI data center may cost up to $60 billion, while global investments in AI data infrastructure are expected to reach $5.2 trillion by 2030. A 100 MW facility can cost upwards of 5 billion, not including the cost of AI chips. Our systems eliminate the need for additional permits or utilities, significantly reducing time and costs related to external wiring and piping. They can be implemented during the construction phase of a new data center, streamlining the timeline.
High long-term maintenance costs arise from water, electricity, and equipment failures. A single large AI data center can consume as much electricity as half of Manhattan (approximately 5 GW), with yearly electricity expenses ranging from $500,000 to over $1 billion, depending on scale. This is driven by the high power needs of GPU-packed servers, with demand expected to double or triple by 2028, which affect regional power grids and further increase utility costs. By 2030, annual water-related capital and operational expenses for U.S. data centers are projected to reach $4.1 billion. A mid-sized data center typically uses around 110 million gallons of water annually, while larger facilities can exceed 1 billion gallons. Some centers have reported annual water and wastewater charges over $590,000, with investments in water infrastructure reaching $1.4 million or more. Our water and power systems can significantly reduce both short- and long-term costs by generating essential utilities in-house and off-grid, providing you with substantial savings and flexibility to scale and expand as needed. With rising demand and costs, the future of AI is only achievable with Wharton.
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We can lower the existing standard of $600 million per GW in costs to just $14 million for build-out and cooling This results in significant savings in both time and money. Additionally, we meet or surpass utility standard pricing at 35 cents for power, scrubbing, fuel cell, and cooling energy costs.
Our cooling systems are designed for five simultaneous racks, with pricing starting at $40,000 per unit.