Stock Markets June 18, 2026 04:33 PM

Meta Secures 1.6 GW of AI Compute Capacity from Crusoe Data Centers

Contracts cover two Crusoe facilities in Texas and Missouri, while pricing and delivery schedules remain undisclosed

By Nina Shah
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META

Meta Platforms Inc. has arranged to acquire computing capacity for its artificial intelligence initiatives from data center developer Crusoe at two locations in the U.S. The agreements cover combined capacity of about 1.6 gigawatts at sites in Childress, Texas and Warrenton, Missouri. Financial terms and the timetable for delivery were not disclosed, and the reports are based on people with knowledge of the private discussions.

Meta Secures 1.6 GW of AI Compute Capacity from Crusoe Data Centers
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Key Points

  • Meta has contracted computing capacity from Crusoe at two U.S. data center sites in Childress, Texas and Warrenton, Missouri.
  • The combined allocation is about 1.6 gigawatts; one gigawatt is cited as powering up to 750,000 U.S. homes at any given time.
  • Financial terms and delivery timeline were not disclosed; the report is based on people speaking on condition of anonymity.

Meta Platforms Inc. has finalized agreements to obtain computing capacity from Crusoe, a developer of data centers, in support of its ongoing artificial intelligence expansion efforts. The contracts cover two Crusoe-owned facilities located in Childress, Texas and Warrenton, Missouri, according to people familiar with the matter.

Combined capacity at the two sites is about 1.6 gigawatts, the sources said. To provide context using a figure cited by those sources, one gigawatt can power up to 750,000 U.S. homes at any given time. The information about capacity was disclosed by participants who asked not to be identified because the details of the discussions are private.

At this time, the parties have not made public the financial terms of the agreements or the schedule for when the computing capacity will be delivered. The people briefed on the arrangements emphasized that those elements remain unclear.

The reported agreements add to the physical infrastructure that Meta is assembling to support its artificial intelligence programs. The two Crusoe locations named in the report are the Childress, Texas facility and the site in Warrenton, Missouri. Beyond the combined capacity number and the site locations, further specifics were not provided by the sources.

This account is based on information provided by individuals with direct knowledge of the negotiations who declined to be identified because the discussions are confidential. No additional contractual details, including pricing, timing or operational arrangements, have been disclosed.


Summary

Meta has secured computing capacity totaling roughly 1.6 gigawatts from Crusoe data centers in Childress, Texas and Warrenton, Missouri. The size of the allocation and the identity of the facilities were reported by people familiar with the matter, but financial terms and delivery timing were not disclosed.

Key points

  • Meta has contracted to obtain computing capacity from Crusoe at two U.S. data center sites - Childress, Texas and Warrenton, Missouri.
  • The combined capacity across both locations is approximately 1.6 gigawatts; one gigawatt is cited as sufficient to power up to 750,000 U.S. homes at any given time.
  • Financial terms and the timeline for delivering the computing power were not revealed; the information comes from sources speaking on condition of anonymity.

Risks and uncertainties

  • Cost uncertainty - the financial terms of the agreements were not disclosed, leaving questions about capital and operating expenditures.
  • Timing unknown - the delivery schedule for the computing capacity has not been made public, creating uncertainty about when the infrastructure will be available.
  • Limited public detail - the account is based on unnamed sources because the discussions are private, which constrains the amount of verifiable information available.

Risks

  • Unknown financial terms create uncertainty about Meta's costs and potential capital commitments.
  • Undisclosed delivery schedules leave unclear when the computing capacity will be operational.
  • Reliance on anonymous sources limits the amount of public, verifiable detail available about the agreements.

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