China is backing a Beijing-based startup called Orbital Chenguang with about 57.7 billion yuan ($8.4 billion) in credit lines to build space-based data centers, according to media reports. The funding comes from major state-linked banks and signals one of the largest known investments in orbital computing infrastructure.
The move highlights a growing global race to build computing systems in space. It also puts China in direct competition with companies like SpaceX, which is exploring space-based data infrastructure, too.
Orbital Chenguang Builds State-Backed Space Computing System
Orbital Chenguang is a startup in Beijing supported by the Beijing Astro-future Institute of Space Technology. This institute works with the city’s science and technology authorities.
The company has received credit line support from major Chinese financial institutions, including:
- Bank of China,
- Agricultural Bank of China,
- Bank of Communications,
- Shanghai Pudong Development Bank, and
- CITIC Bank.
These are credit lines, not fully deployed cash. But the scale shows strong institutional backing.
The project is part of a wider national strategy focused on commercial space, AI infrastructure, and advanced computing systems.
China’s state space contractor, CASC (China Aerospace Science and Technology Corporation), has shared plans under its 15th Five-Year Plan. These include ideas for large-scale space computing systems, aiming for gigawatt power.
Space Data Center Plan Targets 2035 Gigawatt Capacity
According to Chinese media reports, Orbital Chenguang plans to build a constellation in a dawn-dusk sun-synchronous orbit at 700–800 km altitude. The long-term target is a gigawatt-scale space data center by 2035.
The development plan is divided into phases:
- 2025–2027: Launch early computing satellites and solve technical barriers.
- 2028–2030: Link space-based systems with Earth-based data centers.
- 2030–2035: Scale toward large orbital computing infrastructure.
The design relies on continuous solar energy and natural cooling in space. These features could reduce reliance on land-based power grids and cooling systems.
China has proposed two satellite constellations to the International Telecommunication Union (ITU). These plans include a total of 96,714 satellites. This shows China’s long-term goals for space infrastructure and spectrum control.
The AI Energy Crunch Pushing Computing Into Orbit
The push into orbital data centers is closely linked to rising AI demand. Global data centers consumed about 415–460 terawatt-hours (TWh) of electricity in 2024, equal to roughly 1.5%–2% of global power use. This figure is rising quickly due to AI workloads.
Some industry projections show demand could exceed 1,000 TWh by 2026, nearly equal to Japan’s total electricity consumption.
AI systems require massive computing power, which increases energy use and cooling needs. In many regions, electricity supply—not hardware—is now the main constraint on AI expansion.
China’s strategy aims to address this by moving part of the computing load into space, where solar energy is more stable and continuous.
Carbon Impact: Earth vs Space Computing Trade-Off
Data centers already create a large carbon footprint. In 2024, they emitted about 182 million tonnes of CO₂, based on global electricity use of roughly 460 TWh and an average carbon intensity of 396 grams of CO₂ per kWh. This is according to the International Energy Agency report, as shown in the chart below.
Future projections show even faster growth. The sector could generate up to 2.5 billion tonnes of CO₂ emissions by 2030, driven by AI expansion. This is where orbital systems come in. They aim to reduce emissions during operation by using:
- Continuous solar energy,
- Passive cooling in vacuum conditions, and
- Reduced dependence on fossil-fuel grids.
However, space systems also introduce new emissions. Rocket launches used about 63,000 tonnes of propellant in 2022, producing CO₂ and atmospheric pollutants. Lifecycle studies suggest that over 70% of emissions from space systems typically come from manufacturing and launch activities.
In addition, hardware in orbit often has a lifespan of only 5–6 years, which increases replacement cycles and launch frequency. This creates a key trade-off:
- Lower operational emissions in space, and
- Higher lifecycle emissions from launches and manufacturing.
Research suggests that, in some scenarios, orbital computing could produce up to 10 times higher total carbon emissions than terrestrial systems when full lifecycle impacts are included.
China’s Expanding Space-Tech Ecosystem
Orbital Chenguang is not operating alone. Several Chinese companies are working on similar in-orbit computing systems, including ADA Space, Zhejiang Lab, Shanghai Bailing Aerospace, and Zhongke Tiansuan.
These firms are developing satellite-based computing and AI processing systems. This shows that orbital computing is not a single project. It is part of a broader national push across government, industry, and research institutions.
China’s space strategy combines commercial space growth with national technology planning. It aims to build integrated systems that connect satellites, cloud computing, and terrestrial networks.
The Space-AI Arms Race: China vs SpaceX vs Google
China is not alone in exploring space-based computing. Companies in the United States are also developing orbital data infrastructure concepts. These include early-stage research and private sector projects by firms such as SpaceX and Google.
SpaceX is building one of the largest satellite networks through its Starlink constellation, with thousands of satellites already in orbit. While its main goal is global internet coverage, the network also creates a foundation for future edge computing in space. The company’s reusable rockets, including Starship, are designed to lower launch costs, which is a key barrier to scaling orbital data infrastructure.
Google, through its cloud division, has been investing in space data and satellite analytics. It partners with Earth observation firms to process large volumes of data using cloud-based AI tools. This work could extend to hybrid systems where data is processed closer to where it is generated, including in orbit.
Other players are also entering the field. Amazon is developing Project Kuiper, a satellite internet network that could support future space-based computing layers. Microsoft has launched Azure Space, which connects satellites directly to cloud computing services and supports real-time data processing.
Government agencies are also involved. NASA and the U.S. Department of Defense are funding research into orbital computing, edge processing, and secure data transmission in space. These efforts aim to reduce latency, improve data security, and enable faster decision-making for both civilian and defense applications.
Together, these developments show that space-based computing is moving beyond theory. While still early-stage, both public and private sector efforts are building the foundation for future data centers and processing systems in orbit.
However, these systems face major challenges:
- High launch costs,
- Heat and thermal control issues,
- Limited data transmission bandwidth, and
- Hardware durability in space.
Despite these challenges, interest is growing because AI demand is rising faster than Earth-based infrastructure can scale. The competition is now moving toward who can solve energy and computing limits first—on Earth or in space.
Market Outlook: AI, Energy, and Space Infrastructure Converge
The global data center industry is entering a period of rapid expansion. Electricity demand from data centers could double by 2030, driven mainly by AI workloads and cloud computing growth. Power supply is becoming a limiting factor in many regions.
At the same time, the global space economy is expanding into a multi-hundred-billion-dollar industry, supported by satellites, communications, and emerging technologies like orbital computing.
- Orbital data centers sit at the intersection of three major trends: rapid AI growth, rising energy constraints, and expansion of space infrastructure.
China’s $8.4 billion credit-backed push through Orbital Chenguang signals confidence in this convergence. However, key barriers remain, such as high cost of launches, engineering complexity, short satellite lifespans (5-6 years), and regulatory uncertainty in orbital systems.
Because of these limits, orbital data centers are unlikely to replace Earth-based systems in the near term. Instead, they may form a hybrid system where some workloads move to space while most remain on Earth.
Space Is Becoming the Next Data Center Frontier
China’s investment in Orbital Chenguang marks one of the most significant moves yet in the emerging field of space-based computing. Backed by major Chinese banks, municipal science institutions, and national space contractors like CASC, the project shows how seriously China is treating orbital infrastructure.
The strategy connects AI growth, energy demand, and climate pressures into a single long-term vision. But the trade-offs are complex. Orbital data centers may reduce operational emissions, but they also introduce high lifecycle carbon costs and major technical challenges.
The global race is now underway. With companies like SpaceX, Google, and Chinese tech firms exploring similar ideas, space is becoming a new frontier for digital infrastructure. The outcome will depend on whether orbital systems can scale efficiently—and whether their carbon benefits can outweigh the emissions cost of building them.
The post China’s $8.4B Orbital Data Center Push Sets Up Space-Based AI Showdown With SpaceX appeared first on Carbon Credits.
More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.
The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.
The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.
This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.
The two definitions, in plain English
Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.
Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.
The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.
What the GHG Protocol Land Sector Standard actually says
The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).
For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.
For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.
A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.
When insetting counts toward Scope 3 (and when it does not)
Insetting counts toward Scope 3 only when several conditions are met:
- The intervention must occur with an entity in your value chain.
- The emissions reduction or removal must be measured against a defensible baseline.
- The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
- It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.
The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.
When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.
The procurement and supplier engagement question
Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.
To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.
The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.
Choosing the right tool for the right target
A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.
The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.
If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.
Net zero is often described as a balancing act: cut what you can, account for the rest, and reach zero on the ledger. That framing is useful, but it leaves something out. It treats every tonne of carbon as interchangeable and every route to zero as equally sound, while the science tells a more specific story.
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