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Space-based AI costs $160 billion per gigawatt? That is an absurd and sloppy calculation. This has nothing to do with SpaceX’s plans. It is the wrong rocket and not the planned satellite. It freeze today’s technology, ignores Starship’s development, and prete…
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Space-based AI costs $160 billion per gigawatt? That is an absurd and sloppy calculation. This has nothing to do with SpaceX’s plans. It is the wrong rocket and not the planned satellite.
It freeze today’s technology, ignores Starship’s development, and pretend you’ve priced the future? That is sloppy analysis from Bank of America and others.
This is like estimating the cost of delivering 40 tons of furniture from housing move using 100 Tesla Model Y instead of a Tesla Semi. The 100 Model Y cost $4 million and were not made for that purpose.
Brian Wang breaks down how Starship, AI1 satellite designs, payload capacity, and reuse could change the economics of orbital AI data centers—and why getting compute into service faster matters.
I am only discussing the launch costs because the chips from Nvidia are the same whether for an earth data center or a space AI satellite.
Brian WangBrian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.