Summary of Key Points
Cities such as Beijing and Shanghai are actively deploying "space computing power" as a future industry, which essentially involves moving data centers into space to process data via satellites in orbit. This approach aims to overcome limitations of traditional on-ground computing power, such as land availability and heat dissipation issues, as well as to cover areas that are currently unreachable (like the ocean and polar regions). The two cities have different approaches: Beijing focuses on breakthroughs in underlying technologies (space data centers and key technical advancements), while Shanghai emphasizes commercial implementation (satellite constellations and practical applications). The industry is still in the stage of technical verification, facing challenges related to heat dissipation, cost, and establishing a viable business model. However, the market potential is enormous—by 2030, the global space economy could be worth over one trillion dollars—requiring sustained investment.
Why the Rush for Space Computing Power? — Strategic Positioning to Overcome On-Ground Constraints
Simply put, on-ground data centers are reaching their capacity limits: they require large amounts of land and consume significant amounts of energy and water for cooling, with limited room for expansion. Additionally, areas like the ocean and deserts lack coverage due to signal issues. Space computing power addresses these shortcomings:
- Overcoming Constraints: Space does not require land resources, allowing for the construction of larger "space data centers."
- Covering Unserved Areas: Satellites can cover the entire globe, enabling real-time data processing for activities such as maritime navigation and desert research.
- Improving Efficiency: Data can be processed directly in orbit after collection, eliminating the need to transmit massive amounts of raw data back to Earth (for example, satellite imagery can be analyzed in space before sending the results back, saving time and bandwidth).
Experts describe this as a "forward-looking strategic move" that will give a competitive advantage in the future global space economy.
Beijing and Shanghai: Different Approaches Based on Local Strengths
Each city leverages its unique resources:
Beijing: Focusing on "Space Data Centers" and Tackling Technical Challenges
Beijing, with over 300 commercial aerospace companies (half of the national total), follows a strategy that combines technological breakthroughs with infrastructure development:
- Testing Technologies: The "Chengguang-1" satellite verifies energy and cooling systems for space data centers and tests commercial computing capabilities in orbit.
- Long-Term Plans: By 2025-2027, it aims to develop key technologies and build a first-generation computing constellation for real-time data processing in space.
- Building an Industry Ecosystem: The Satellite Town has attracted 10 leading companies and a space computing innovation center dedicated to developing common technologies and setting standards.
Shanghai: Emphasizing Commercial Applications and Rapid Network Deployment
Shanghai, with its strengths in commercial aerospace and AI, adopts a approach that focuses on satellite constellations and practical applications:
- Star Hub Initiative: A constellation consisting of one main computing satellite and two functional satellites uses lasers to transmit data, completing data collection, AI processing, and analysis in orbit without the need to transfer raw data.
- Phased Expansion: The plan starts with 2 computing satellites and 12 edge satellites, gradually expanding to a thousand satellites, serving sectors such as meteorology, emergency response, and natural resources.
- Economic Impact: This initiative is expected to attract over 100 supporting companies, generating an annual output value of over 100 billion yuan.
Current Progress: In the Technical Verification Stage
Large-scale commercial use has not yet been achieved; the focus is on technical trials:
- Beijing: The "Chengguang-1" satellite has been launched, and enterprises in the Satellite Town have begun operations. Plans for a space data center are underway.
- Shanghai: The Star Hub Initiative has launched its first constellation, with Taiyi Weixing Technology leading the development of ultra-low orbit satellites with intelligent computing capabilities, and orders are increasing.
- Industry Response: Companies like Zhongke Mimiwei provide aerospace-grade computing modules, but demand is still limited due to the experimental phase.
Overall, the industry is moving from "data collection in space followed by processing on Earth" to real-time processing in orbit, though key technical challenges remain to be overcome.
Challenges Ahead: Three Major Issues to Overcome
1. Heat Dissipation: Space is cold and lacks air convection, making it difficult to dissipate heat from computing equipment.
2. High Costs: Launching satellites and adapting them for radiation resistance are costly:
- Launch Costs: These account for 30%-40% of the total cost.
- Manufacturing Costs: Satellites themselves, radiation-resistant modifications, cooling systems, and solar power generation (necessary for sufficient computing power) all increase costs significantly.
- Example: Zhongke Mimiwei's aerospace-grade computing modules cost hundreds of thousands of yuan, with the overall satellite price even higher.
3. Business Model: Mature applications are still being developed. Questions remain about whether users in sectors like meteorology and emergency response will be willing to pay for the high costs associated with space computing power and whether these services can generate sufficient revenue.
The Road Ahead: A Long-Distance Race
Despite the huge market potential (a trillion-dollar global space economy by 2030), patience is key. Experts and companies emphasize that long-term investment and sustained effort are required to overcome technical and financial hurdles.
In summary, space computing power represents a promising future industry, but significant progress must be made first in overcoming technical and cost-related challenges before it can become a reality.