Thread by @zjasper666

By 2030, we need 4X more data centers than exist today.

But here's the $1 trillion secret: We don't need to build them at all.

Here’s how @hyperbolic_labs is disrupting the entire AI compute industry—

The math doesn’t add up. While everyone panics about a GPU shortage...

> Current capacity: 55 GW
> Projected 2030 demand: 219 GW
> Time: 7 years to connect a 100MW facility in Northern Virginia
> Cost: $1B for a single StarGate datacenter
> U.S. electricity use: 4%
> Annual CO₂ emissions: 105 million tons (2.2% of total US CO₂ emissions)

80% of GPUs are idle...

It’s like having a housing crisis while 80% of homes sit empty. Now we have 100+ GPU clouds—but they’re missing trust, reliability, and usability. So we built Hyperbolic.

Result:
> 75% cheaper, H100s from $0.99/hr
> Instant access
> 0 hrs spent vetting suppliers

@hyperbolic_labs With Hyperbolic, you can reserve 1,000 GPUs, scale up with an extra 1,000 for just one month when needed, and resell idle GPUs later—saving 84% versus locking into rigid, year-long contracts with traditional cloud.

After earning the trust of 195,000+ developers and partners like @huggingface, @vercel, and @stanford, we’re now expanding into Business and Enterprise Cloud—built for teams that need even more reliability: 99.5% uptime SLA, 70% cheaper , rapid deploys.

Lock in early bird pricing here: airtable.com/appCaHHRo8yfM2…