The AI Compute Race Glossary Hyperion

Hyperion

What does “Hyperion” mean?

Hyperion

Meta’s datacenter campus in Richland Parish, Louisiana, powered by three Entergy gas plants and financed through Beignet’s notes. Chapter 14 runs it through the four futures. Chapter 6.

From The AI Compute Race. Read the book

Defined in Chapter 6 — Firm, Around-the-Clock.

Where the book uses it

  • Chapter 6 — Firm, Around-the-Clock

    Where the electricity comes from: grid queues, transformers, turbines and the firm power a datacenter needs every hour of the year, on calendars the buildout does not control.

  • Chapter 14 — The Convergence

    One campus, Meta’s Hyperion, run through four possible futures to show how science, power, money and permission meet in the price of an accelerator-hour.

Where the record uses it

Also discussed in

Sources that use it

  • Clifford Chance, “Clifford Chance advises PIMCO funds on investment to develop Meta’s Hyperion Data Center,” 27 October 2025. In the Sources
  • Meta Engineering, “Meta’s infrastructure evolution and the advent of AI,” 29 September 2025 (Hyperion to come online beginning in 2028 and scale to 5 GW; the Catalina reference design of 72 Blackwell GPUs at about 140 kW in the accelerator portion of a six-rack pod; fleet deploying GB200, beginning GB300, also AMD MI300 and MTIA; “Once finished, the Hyperion cluster will have the ability to scale up to a capacity of 5 gigawatts”; “Prometheus, our 1-gigawatt cluster, is currently underway”; “We accomplished this by building this cluster across several of our traditional data center buildings as well as several weatherproof tents, and adjacent colocation facilities”; “We are also evolving our software stack, including Twine and MAST, to support long-distance training across a geographically distributed set of data centers”). In the Sources
  • Meta Platforms, “Meta Announces Joint Venture with Funds Managed by Blue Owl Capital to Develop Hyperion Data Center,” 21 October 2025. In the Sources
  • Meta Platforms, Form 10-K for the year ended 31 December 2025 (Hyperion: ~$12.31 billion of initial lease commitments from 2029, residual-value guarantee, maximum loss exposure $45.95 billion; servers and network assets 5.5 years; consolidated statements of cash flows FY2025: net cash provided by operating activities $115,800 million, purchases of property and equipment $69,691 million, principal payments on finance leases $2,524 million, free cash flow as Meta defines it $43,585 million, taxes paid related to net share settlement of equity awards $18,400 million, repurchases of Class A common stock $26,248 million, proceeds from issuance of long-term debt, net $29,906 million — and Note 10: $30.0 billion of fixed-rate senior unsecured notes issued in six series in November 2025, long-term debt $58,744 million at 31 December 2025 against $28,826 million a year earlier, the earliest series the August 2022 notes; “an increase in the estimated useful lives of most servers and network assets to 5.5 years, effective January 1, 2025”, the table after it showing servers and network assets at five to 5.5 years; for 2025 “a reduction in depreciation expense of $ 2.92 billion and an increase in net income of $ 2.59 billion”; MD&A, Family metrics: “Our annual worldwide ARPP in 2025, which represents the sum of quarterly ARPP during such period, was $57.03”, ARPP being defined as “our FoA revenue during a given quarter, divided by the average of the number of DAP at the beginning and end of the quarter”). In the Sources
  • Meta Platforms, Form 10-Q for the quarter ended 30 September 2025 (Hyperion: Meta to lease all facilities on an initial four-year term with renewal options to twenty years, leases beginning 2029, the initial lease commitment about $12.3 billion for the four-year term; residual-value guarantee over the first sixteen operating years, threshold starting at about $28 billion and declining, Meta owing a capped cash payment to the venture only if, following a non-renewal or termination of a lease, the campus is then worth less than the threshold). In the Sources

And 9 more: search the Sources.

Related terms

From the glossary of The AI Compute Race.

How to cite this page

Dryburgh, Lee S. “Hyperion.” In The AI Compute Race. DRYBURGH. https://dryburgh.com/vol1/glossary/hyperion (accessed 2026-11-01).

BibTeX

@misc{dryburgh-hyperion-2026,
  author = {Dryburgh, Lee S.},
  title = {{Hyperion}},
  howpublished = {In \emph{The AI Compute Race}, DRYBURGH},
  year = {2026},
  url = {https://dryburgh.com/vol1/glossary/hyperion},
  note = {Accessed 2026-11-01}
}

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