What's Happening?
A Los Angeles-based startup, Orbital, has raised $5 million to fund an in-orbit computing demonstration scheduled for next year. This initiative is part of a larger plan to deploy over 100,000 orbital data centers to meet the increasing demand for AI
infrastructure. Founded by Euwyn Poon, who previously sold his e-scooter company Spin to Ford, Orbital aims to create satellites capable of 100 kilowatts of compute power for AI workloads. The startup plans to launch its first satellite, Orbital-1, in 2028. The company is focusing on overcoming challenges such as GPU operation, radiation tolerance, and thermal performance in orbit. Orbital is also collaborating with experts from companies like SpaceX and Amazon Leo to develop the necessary technology.
Why It's Important?
The development of orbital data centers is crucial as it addresses the growing need for AI infrastructure, which is becoming increasingly important in various sectors. By deploying data centers in orbit, companies like Orbital aim to provide scalable and efficient computing power, which is essential for processing large AI workloads. This initiative could significantly impact the tech industry by offering new solutions for data processing and storage, potentially reducing the reliance on terrestrial data centers. Additionally, the success of such projects could position the U.S. as a leader in space-based technology and AI infrastructure, providing a competitive edge over other countries.
What's Next?
Orbital plans to launch its pathfinder mission in 2027 using a Falcon 9 rideshare mission to test the core challenges of operating data centers in orbit. The company is also working on assembling a team of experts to further develop the technology at its satellite assembly and testing facility in Los Angeles. As the project progresses, Orbital will need to secure additional funding and partnerships to achieve its goal of deploying over 100,000 satellites. The success of this initiative could lead to further advancements in space-based technology and AI infrastructure.
