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⚙️IEEE Spectrum AI
May 10, 2026
Product Updates

Startup Wants to Run AI Inference From Space

Overview

Orbital Inc., a Los Angeles-based startup, aims to build space-based data centers powered by solar energy to support AI inference workloads. The company plans to launch a prototype satellite in 2027, leveraging a distributed network of small satellites to alleviate energy constraints faced by terrestrial data centers.

Key Takeaways

  • Orbital Inc. plans to create a constellation of small satellites in low Earth orbit for AI inference workloads.
  • The startup is backed by Andreessen Horowitz and aims to utilize solar energy to power its operations.
  • Orbital's design focuses on smaller, independent GPU nodes to simplify execution and reduce costs.
  • The first prototype satellite is scheduled for launch in 2027 aboard a SpaceX Falcon 9 rocket.
  • Orbital faces engineering challenges, including heat dissipation and equipment degradation due to radiation.

Stats & Key Facts

  • #10,000 fridge-sized satellites planned
  • #100 kilowatts of power per satellite
  • #First test launch scheduled for 2027
Startup Wants to Run AI Inference From Space

The Vision Behind Orbital Inc.

Orbital Inc. is pioneering the concept of space-based data centers to address the growing energy demands of AI.

  • The startup emerged from stealth in mid-April 2023.
  • Orbital aims to harness solar energy to power its satellite network.

Founded by Euwyn Poon, Orbital Inc. is focused on creating a mesh constellation of satellites that can run AI inference workloads. The company believes that the abundant solar energy available in space can provide a sustainable power source for its operations.

How Orbital's Satellite Network Works

Orbital's infrastructure is designed to efficiently handle user requests for AI inference.

  • Each satellite will be equipped with GPU server racks powered by solar panels.
  • User requests are routed through a ground station to the appropriate satellite.

The satellites will communicate using optical interlinks, which utilize lasers to transmit data between nodes. This system allows for efficient processing of user requests, as the satellites can quickly relay information back to Earth after generating outputs.

The Engineering Challenges Ahead

Operating data centers in space presents unique technical hurdles that Orbital must overcome.

  • Heat dissipation is a critical issue, as every watt of energy must be managed effectively.
  • Radiation in low Earth orbit can degrade computing equipment over time.

Orbital's design aims to address these challenges by using large radiative coolers and simplifying the satellite architecture. However, the company acknowledges that regular maintenance in space will be difficult and costly, which adds another layer of complexity to their plans.

Market Potential and Future Plans

Orbital is targeting major AI firms as potential customers for its space-based inference services.

  • The company plans to offer direct API access for clients like OpenAI and Anthropic.
  • Enterprise deals will be structured to shift inference demand to its satellite network.

By focusing on large model labs that require significant computational resources, Orbital aims to carve out a niche in the growing market for AI services. As the demand for AI inference continues to rise, the company's innovative approach could provide a viable solution to energy constraints.

Comparative Landscape of Space Data Centers

Orbital is not the only player in the space data center arena, but it has a unique approach.

  • Starcloud has already conducted similar tests for space-based data centers.
  • Orbital's focus on smaller satellites sets it apart from competitors.

While other companies are exploring space data centers, Orbital's strategy of using a distributed network of smaller satellites designed for specific workloads may offer advantages in terms of cost and efficiency. This approach could help mitigate some of the challenges faced by larger, more tightly-coupled systems.

Frequently Asked Questions

What is Orbital Inc. planning to do?

Orbital Inc. aims to build a constellation of small satellites in low Earth orbit to run AI inference workloads powered by solar energy.

When is Orbital's first satellite prototype scheduled for launch?

The first prototype satellite is scheduled for launch in 2027 aboard a SpaceX Falcon 9 rocket.

What are the main challenges Orbital faces in its project?

Orbital faces challenges such as heat dissipation, radiation degradation of equipment, and the high costs of maintenance in space.

Who are Orbital's potential customers?

Orbital is targeting large AI firms like OpenAI and Anthropic that require substantial computational resources for inference workloads.

How does Orbital's satellite communication work?

Satellites communicate through optical interlinks using lasers to pass data between nodes, allowing for efficient processing of user requests.

Orbital's innovative approach could redefine the future of data centers.

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Originally published by IEEE Spectrum AI
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