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Tech Giants Like NVIDIA and Google Eye Space to Power AI with Orbital Data Centers

Some of the world’s biggest tech companies and space startups are racing to build data centers in space. These orbital data centers are meant to support the massive computing needs of artificial intelligence (AI). Companies see space as a place to get abundant solar energy and natural cooling without the limits of Earth’s power grids. This idea moved from theory to early testing in late 2025–2026 and gained spotlight at the AIAA SciTech Forum 2026 in Orlando, Florida, last week.

Several tech giants, including Google, SpaceX, and Blue Origin, are exploring space‑based computing. At the same time, startups like Starcloud have already launched prototypes with advanced AI hardware into orbit. These efforts reflect growing interest in solving energy, cooling, and infrastructure challenges that terrestrial data centers face.

Why the Tech Giants Look to Space

AI needs more computing power than ever. Traditional data centers on Earth use huge amounts of electricity and water for power and cooling. In the U.S., data centers used over 4% of total electricity in 2024 and could increase to between 6.7% and 12% by 2028 if current trends continue.

At the same time, global data center electricity demand may nearly double by 2030 to about 945–980 terawatt‑hours per year due to AI and cloud services.

AI data center energy GW 2030

  • Space offers two major advantages: near‑constant solar power and natural cooling.

Solar panels in orbit can be up to 8x more efficient than on Earth because there is no atmosphere to block sunlight. Heat can also be released directly into space by radiation, without the need for water‑based cooling systems.

These factors could lower energy costs and help AI computing scale without straining terrestrial power systems. Companies see space as a place where solar energy is abundant, and energy from the sun is almost always available, especially in certain orbits.

What the Tech Giants Are Doing

Google: Project Suncatcher

Google has announced a research initiative called Project Suncatcher. The project aims to put AI computing hardware into orbit using solar‑powered satellites.

The tech giant plans to launch two prototype satellites equipped with its own AI chips by early 2027 to test whether they can run in space. The goal is to create blueprints for future space‑based data centers.

Google says these satellites will use Tensor Processing Units (TPUs), chips designed for AI tasks, and connect via laser links instead of traditional wires. The company’s CEO said that using solar energy in space could help support the AI industry’s rapidly rising computing needs.

Starcloud: First AI Model in Orbit

Starcloud, a startup backed by Nvidia and venture capital firms, has achieved an important milestone. In late 2025, the company launched a satellite called Starcloud‑1 carrying an Nvidia H100 GPU. This satellite successfully trained and ran AI models, including a version of Google’s Gemma model, in orbit. This marked the first AI model training in space.

Starcloud aims to expand this capability with future satellites. The company has proposed building a large space data center with about 5 gigawatts (GW) of solar panels spread over several kilometers. The design would deliver more compute power than many terrestrial data centers with efficient energy use.

SpaceX and Blue Origin

Elon Musk‘s SpaceX and Blue Origin are also exploring space data centers. SpaceX plans to use its Starlink satellite network and future satellites that could carry AI compute hardware.

Reports suggest SpaceX may launch upgraded Starlink satellites with terabit‑class capacity starting in 2026. Musk has also talked about using reusable rockets to place larger compute hubs into orbit at scale.

Blue Origin, backed by Jeff Bezos, reportedly has a team working on technology for orbital data centers. The aim is to develop systems that can support AI workloads beyond Earth. These efforts build on Blue Origin’s long history in rocket and space technology.

Global Competition: Startups and Nations Join In

Space data centers are attracting attention beyond the big tech names. Multiple startups and international players are racing to build compute infrastructure in orbit.

Companies like PowerBank Corporation and Orbit AI are planning space‑based nodes or cloud services powered by solar energy. Moreover, Axiom Space has outlined plans for data center modules on its private space station by 2027.

Outside the U.S., China is also advancing space compute projects. The Three‑Body Computing Constellation aims to deploy thousands of satellites equipped with high‑performance GPUs and AI models. The long‑term goal is to provide a combined computing capacity of 1,000 peta‑operations per second (POPS) — a measure of compute power far beyond many ground‑based supercomputers.

This global competition highlights how nations and companies see orbital data centers as strategic infrastructure for AI and other advanced computing tasks.

Challenges and Engineering Hurdles Above the Atmosphere

Building data centers in space is not easy. Engineers must solve many technical problems before full‑scale orbital centers become common.

  • Radiation: Space radiation can damage GPUs and other chips. Orbital data centers need heavy shielding and backup hardware.
  • Cooling: Space has no air or water. Systems must use radiative cooling, which is complex but essential.
  • Debris: Crowded orbits raise collision risks. Large structures could worsen the Kessler syndrome.
  • Costs: Launching hardware is costly. Firms expect costs to fall to about $200 per kilogram by the mid-2030s, improving feasibility.

Potential Benefits: Solar, Cooling, and Scaling

Despite the challenges, space‑based data centers offer potential benefits that are hard to match on Earth. More remarkably, the market is set for rapid growth as demand for AI compute expands.

Analysts expect the market to rise from about $1.77 billion in 2029 to nearly $39.1 billion by 2035. This shows an annual growth rate of about 67.4%. This surge is driven by rising AI workloads, growing satellite constellations, and the need for more sustainable, high-performance computing beyond Earth-based limits.

orbital data center market growth 2035

Major advantages of orbital data centers include:

Continuous Solar Power

Satellites in certain orbits can receive sunlight almost 24 hours a day. This could allow data centers to run on clean solar energy constantly, without interruptions from night, clouds, or weather. Solar panels in orbit operate at efficiencies up to eight times those on Earth’s surface.

Natural Cooling

The vacuum of space can help with cooling. Heat radiates into cold space at temperatures as low as 4 Kelvin (−269°C). This natural cooling eliminates the need for water‑intensive cooling systems used by terrestrial data centers.

Compute Scaling

As AI models grow larger, so too does their compute demand. Space data centers could provide new capacity that is not limited by Earth’s land, water, or grid constraints. If prototypes prove successful, large orbital systems might be scaled over the next decade.

Future Outlook: Will AI Go Beyond Earth?

Tech companies and startups are actively exploring space‑based data centers to meet the rapidly rising computing requirements of AI. Google’s Project Suncatcher, Starcloud’s prototypes, and efforts by SpaceX and Blue Origin show that orbital compute infrastructure is moving from concept to early reality.

Space offers nearly constant solar energy and natural cooling, which could ease the energy and environmental pressures associated with traditional data centers. Still, radiation, heat management, space debris, and launch costs are major challenges ahead.

The next few years — especially prototype launches around 2027 — will show whether space data centers can become a practical part of the future AI infrastructure landscape.

The post Tech Giants Like NVIDIA and Google Eye Space to Power AI with Orbital Data Centers appeared first on Carbon Credits.

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Why a forest with more species stores more carbon

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A forest is not just trees. The number of species it holds, from canopy giants to understorey shrubs to soil fungi, directly determines how much carbon it can absorb, and, more importantly, how much it can keep over time. Buyers of carbon credits increasingly ask a reasonable question: Is the carbon in this project long-lasting? The science of biodiversity has a clear answer.

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OpenAI Hits Pause on $40B UK AI Project: Energy Costs Shake Data Center Economics

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OpenAI Hits Pause on $40B UK AI Project: Energy Costs Shake Data Center Economics

ChatGPT developer OpenAI has paused its flagship UK data center project, known as “Stargate UK,” citing high energy costs and regulatory uncertainty. The project was part of a broader £31 billion ($40+ billion) investment plan aimed at expanding artificial intelligence (AI) infrastructure in the country.

The initiative was designed to deploy up to 8,000 GPUs initially, with plans to scale to 31,000 GPUs over time. It was aimed to boost the UK’s “sovereign compute” capacity. This means building local infrastructure to support AI development and reduce reliance on foreign systems.

However, the company has now paused development. An OpenAI spokesperson stated that they:

“…support the government’s ambition to be an AI leader. AI compute is foundational to that goal – we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”

Energy Costs Are Now a Core Constraint

The main issue is energy. AI data centers require large amounts of electricity to run GPUs and cooling systems.

In the UK, industrial electricity prices are among the highest in developed markets. Recent estimates show costs at around £168 per megawatt-hour, compared to £69 in France and £38 in Texas. This gap creates a major disadvantage for large-scale data center investments.

AI workloads are especially power-intensive. A single large data center can consume as much electricity as tens of thousands of homes. As AI adoption grows, this demand is rising quickly.

Globally, the International Energy Agency estimates that data centers could consume over 1,000 terawatt-hours (TWh) of electricity by 2030, up sharply from about 415 TWh in 2024. This growth is largely driven by AI. 

data center electricity use 2035
Source: IEA

The result is clear. Energy is no longer just a cost. It is a key factor in where AI infrastructure gets built.

Regulation Adds Another Layer of Risk

Energy is only part of the challenge. Regulation is also slowing investment. In the UK, uncertainty around AI rules, especially copyright laws for training data, has created hesitation among companies.

Earlier proposals to allow AI firms to use copyrighted content were withdrawn after backlash. This left companies without clear guidance on compliance.

For large infrastructure projects, this uncertainty increases risk. Data centers require billions in upfront investment. Companies need stable rules before committing capital.

Planning delays and grid connection timelines also add friction. These factors increase both cost and project timelines.

Together, energy costs and regulatory uncertainty create a difficult environment for hyperscale AI infrastructure.

OpenAI’s Global Infrastructure Expands, But More Selectively

Despite the pause, ChatGPT-maker is still expanding globally. The company is investing heavily in AI infrastructure through partnerships with Microsoft, NVIDIA, and Oracle. It is also linked to a much larger $500 billion “Stargate” initiative in the United States, focused on building next-generation AI data centers.

At the same time, the company faces rising costs. Reports suggest OpenAI could lose billions of dollars annually as it scales infrastructure to meet demand.

This reflects a broader industry shift. AI is becoming more like energy or telecom infrastructure. It requires large capital investment, long timelines, and stable operating conditions.

The pause also highlights a deeper issue. AI growth is increasing pressure on energy systems and the environment.

The Hidden Carbon Cost Behind Every AI Query

ChatGPT and similar tools rely on large data centers. These facilities already account for about 1% to 1.5% of global electricity use. Projections for their energy use vary widely due to various factors. 

Each individual query may seem small. A typical ChatGPT request can use about 0.3 watt-hours of electricity, which is relatively low. However, usage at scale changes the picture.

ChatGPT now serves hundreds of millions of users. Even small energy use per query adds up quickly. Training models is even more energy-intensive. For example, training GPT-3 required about 1,287 megawatt-hours of electricity and produced roughly 550 metric tons of CO₂.

chatgpt environmental footprint

Newer models are even larger. Some estimates suggest training advanced models like GPT-4 could emit up to 15,000 metric tons of CO₂, depending on the energy source.

At the system level, the impact is growing fast. AI systems could generate between 32.6 and 79.7 million tons of CO₂ emissions in 2025 alone. By 2030, AI-driven data centers could add 24 to 44 million tons of CO₂ annually.

AI servers annual carbon emissions
Note: carbon emissions (g) of AI servers from 2024 to 2030 under different scenarios. The red dashed lines in e–g denote the forecast footprint of the US data centres, based on previous literature. Source: https://doi.org/10.1038/s41893-025-01681-y

Looking further ahead, global generative AI emissions could reach up to 245 million tons per year by 2035 if growth continues. These numbers show a clear pattern. Efficiency is improving, but total demand is rising faster.

Big Tech Scrambles to Balance AI Growth and Emissions

OpenAI has not published a detailed standalone net-zero target. However, its operations rely heavily on partners such as Microsoft, which has committed to becoming carbon negative by 2030.

The company has acknowledged that energy use is a real concern. Leadership has pointed to the need for more renewable energy, including nuclear and clean power, to support AI growth.

Across the industry, companies are responding in several ways:

  • Improving model efficiency to reduce energy per query
  • Investing in renewable energy and long-term power contracts
  • Exploring new cooling systems to reduce water and energy use

Efficiency gains are already visible. Some AI systems have reduced energy per query by more than 30 times within a year, showing how quickly technology can improve. Still, total emissions continue to rise because demand is scaling faster than efficiency gains.

The Global AI Infrastructure Race

The pause in the UK highlights a larger trend. AI infrastructure is becoming a global competition shaped by energy, policy, and cost.

Regions with lower energy prices and faster permitting processes have an advantage. The United States and parts of the Middle East are attracting large-scale AI investments due to cheaper power and supportive policies.

At the same time, governments are trying to attract these projects. The UK has pledged billions to support AI growth and improve compute capacity. But this case shows that policy ambition alone is not enough. Companies need reliable energy, clear rules, and predictable costs.

AI’s Next Phase Will Be Decided by Energy, Not Code

The decision by OpenAI does not signal a retreat from AI investment. Instead, it reflects a shift in priorities.

Companies are becoming more selective about where they build infrastructure. They are focusing on locations that offer the right mix of energy access, cost stability, and regulatory clarity.

The UK project may still move forward, but only if conditions improve. For now, the message is clear. The future of AI will not be shaped by technology alone. It will also depend on energy systems, policy frameworks, and long-term investment conditions.

The post OpenAI Hits Pause on $40B UK AI Project: Energy Costs Shake Data Center Economics appeared first on Carbon Credits.

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U.S. Uranium Mining Returns: UEC Launches First New Mine in a Decade

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U.S. Uranium Mining Returns: UEC Launches First New Mine in a Decade

Uranium Energy Corporation (NYSE: UEC) has started production at its Burke Hollow project in South Texas. This is the first new uranium mine to open in the U.S. in over ten years.

The project started production in April 2026 after getting final regulatory approval. This marks a big step for domestic uranium supply. It’s also the world’s newest in-situ recovery (ISR) uranium mine, which shows a move toward less harmful extraction methods.

Burke Hollow was originally discovered in 2012 and spans roughly 20,000 acres, with only about half of the site explored so far. This suggests significant long-term expansion potential as additional wellfields are developed.

The mine’s output will go to UEC’s Hobson Central Processing Plant in Texas. This plant can produce up to 4 million pounds of uranium each year.

A Scalable ISR Platform Expands U.S. Uranium Capacity

The Burke Hollow launch transforms UEC into a multi-site uranium producer in the United States. The company runs two active ISR production platforms. The second one is at its Christensen Ranch facility in Wyoming; both are shown in the table from UEC.

UEC burke hollow resources

UEC Christensen Ranch resources

This “hub-and-spoke” model allows uranium from multiple wellfields to be processed through centralized facilities, improving efficiency and scalability. UEC’s operations in Texas and Wyoming are now active. This gives them a licensed production capacity of about 12 million pounds per year across the U.S.

ISR mining plays a key role in this strategy. Unlike conventional mining, ISR involves circulating solutions underground to dissolve uranium and pump it to the surface. This reduces surface disturbance and can lower environmental impact compared to open-pit or underground mining.

Burke Hollow is the largest ISR uranium discovery in the U.S. in the last ten years. This boosts its long-term value as a domestic resource.

Unhedged Strategy Pays Off as Uranium Prices Rise

UEC’s production launch comes at a time of strong uranium market conditions. The company uses a fully unhedged strategy. This means it sells uranium at current market prices instead of securing long-term contracts.

This approach has recently delivered strong financial results. In early 2026, UEC sold 200,000 pounds of uranium for $101 each. This price was about 25% higher than average market rates. The sale brought in over $20 million in revenue and around $10 million in gross profit.

The strategy allows the company to benefit directly from rising uranium prices, which have been supported by:

  • Growing global nuclear energy demand
  • Supply constraints in key producing regions
  • Increased long-term contracting by utilities

Unhedged exposure raises risk in downturns, but offers more upside in strong markets. UEC is currently taking advantage of this.

Nuclear Energy Growth Is Driving Demand for Uranium

The timing of Burke Hollow’s launch aligns with a broader global shift back toward nuclear energy. Governments are increasingly turning to nuclear power as a reliable, low-carbon energy source.

nuclear power capacity additions IAEA projection 2024 to 2050
Source: IAEA

The International Atomic Energy Agency projects that global nuclear capacity could double by 2050, depending on policy and investment trends. This would require a significant increase in uranium supply.

In the United States, nuclear energy accounts for around 20% of electricity generation. It also produces zero carbon emissions during operations. This makes it a key component of many net-zero strategies.

There are several factors supporting renewed nuclear demand, including:

  • Development of small modular reactors (SMRs)
  • Extension of existing nuclear plant lifetimes
  • Government funding to maintain nuclear capacity
  • Rising electricity demand from data centers and electrification

As demand grows, securing a reliable uranium supply becomes increasingly important.

uranium demand and supply UEC

Reducing Import Risk: A Strategic Domestic Supply Push

The Burke Hollow project also addresses a major vulnerability in U.S. energy policy. The country currently imports about 95% of its uranium needs, leaving it exposed to global supply risks.

A large share of uranium production and enrichment capacity is concentrated in a few countries, including Russia and Kazakhstan. This concentration has raised concerns about supply disruptions and geopolitical risk.

uranium production US 2025 EIA

By expanding domestic production, UEC is helping to reduce reliance on imports and strengthen the U.S. nuclear fuel supply chain.

The company’s broader strategy includes building a vertically integrated platform covering mining, processing, and, eventually, uranium conversion. This approach aligns with U.S. government efforts to rebuild domestic nuclear fuel capabilities.

Federal programs have allocated billions to boost uranium production and enrichment. This shows how important the sector is.

Two Hubs, One Strategy: Wyoming Supports the Texas Breakthrough

While Burke Hollow is the main focus, UEC’s Christensen Ranch operation in Wyoming remains an important part of its production base.

The Wyoming site has recently received approvals for expanded wellfield development, allowing it to increase output alongside the Texas operation.

Together, the two sites form the foundation of UEC’s dual-hub production model. However, it is the Texas project that marks the first new U.S. uranium mine in over a decade, making it the central milestone in the company’s growth strategy.

Investor Momentum Builds Around Uranium Revival

The restart of U.S. uranium production is drawing strong attention from investors and industry players. Uranium markets have tightened in recent years, driven by rising demand and limited new supply.

UEC’s production launch has already had a positive market impact. The company’s share price rose following the announcement, reflecting investor confidence in its growth strategy.

UEC stock price

At the same time, utilities are increasing long-term contracting activity to secure fuel supply. This trend is expected to continue as new nuclear capacity comes online and existing plants extend operations.

Industry forecasts suggest that uranium demand will remain strong through the 2030s, supporting higher prices and increased investment in new production.

Lower Impact Mining, Higher ESG Expectations

The use of ISR mining at Burke Hollow reflects a broader shift toward more sustainable extraction methods. ISR typically reduces land disturbance and avoids large-scale excavation.

However, environmental management remains critical. Key issues include groundwater protection, chemical use, and long-term site restoration.

UEC has emphasized environmental controls and regulatory compliance in its operations. These efforts are important for maintaining social license and meeting ESG expectations.

From a climate perspective, uranium production plays an indirect but important role. Supporting nuclear energy, it helps enable low-carbon electricity generation and reduces reliance on fossil fuels.

The Bottom Line: A Defining Moment for U.S. Uranium Production

The launch of the Burke Hollow mine marks a major milestone for the U.S. uranium sector. It ends a decade-long gap in new mine development and signals renewed momentum in domestic production.

In the short term, it strengthens supply and supports rising uranium markets. In the long term, it highlights the growing role of nuclear energy in global decarbonization strategies.

UEC’s Burke Hollow shows that new uranium projects can advance in today’s market. There are still challenges, like scaling production and handling environmental risks, but progress is possible.

As demand for nuclear energy continues to grow, domestic projects like Burke Hollow will play a key role in shaping the future of energy security and low-carbon power.

The post U.S. Uranium Mining Returns: UEC Launches First New Mine in a Decade appeared first on Carbon Credits.

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