Скачать или смотреть Space-Based AI: The Dangerous Logic Behind Moving Compute to Orbit

The cloud was never magic. It was concrete, water, electricity—and now, it’s leaving Earth.
As AI models grow larger and more power-hungry, companies like Google and NVIDIA are running into a hard physical wall: energy, water, and heat. Data centers are consuming electricity at the scale of nations, evaporating billions of gallons of freshwater just to keep GPUs alive.
So they made a radical decision.
Instead of bringing more power to Earth… they’re taking AI into space.
In this video, we break down:
Why AI is running out of power on Earth
How NVIDIA launched the first H100-class GPU into orbit
Google’s secretive Project Suncatcher and orbital TPU clusters
Why space-based compute solves energy—but creates new dangers
The physics limits no software update can fix
Orbital debris, radiation, latency, and the Kessler Syndrome
And what happens if the first orbital AI cluster fails
This isn’t sci-fi. This is the next phase of the AI arms race.
The cloud is becoming physical— a shell of silicon and glass surrounding our planet.
And once AI moves into orbit, there’s no easy way to pull it back.
Watch till the end to understand why the future of artificial intelligence may be more powerful—and more dangerous—than anyone expected.

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Chapters:
00:00 - Intro
01:27 - AI Is Running Out of Power
02:48 - Energy Is the New Compute
04:22 - NVIDIA’s Expansion Strategy
05:46 - Google’s Vertical Lock-In Play
07:20 - Orbital Physics as a Competitive Weapon
09:09 - Engineering and Security Risks
10:06 - When the Numbers Finally Work
11:00 - Who Owns the Future AI Stack?