Meta Platforms Raises $27 B for Louisiana AI-Data-Center Venture with Blue Owl Capital
Meta Platforms has secured a $27 billion financing deal with Blue Owl Capital to develop its largest-ever data-center project in Louisiana, aimed at delivering upward of 2 gigawatts of AI compute capacity to support next-gen large-language-model training.
DAte
Oct 21, 2025
Category
Technology & Infrastructure
Reading Time
5–6 Minutes
On October 21, 2025, Meta Platforms announced a partnership with Blue Owl Capital to jointly finance a new Louisiana data-center site, with Meta retaining about 20% equity and Blue Owl providing around $7 billion upfront. The project—code-named “Hyperion”—is expected to deliver over 2 GW of compute capacity, designed to power large-language-model training and inference operations.
The deal marks Meta’s largest private-capital commitment to date and signals the escalating infrastructure race among Big Tech for AI scale. Analysts estimate that compute-capacity deals of this magnitude reflect a multiyear surge in AI-infrastructure spending, potentially reaching hundreds of billions globally.
Meta’s strategy is to leverage external capital and partnerships to scale compute without carrying full upfront capex burden, enabling it to divert resources to model development, software, and services. The Louisiana site also offers favourable power, land and regulatory conditions—key enablers for large-scale data-centres.
Key Highlights
$27 billion financing deal between Meta Platforms and Blue Owl Capital for a data-center in Louisiana.
Meta holds ~20% equity; majority funded by alternative asset manager Blue Owl.
Target compute capacity: ~2 gigawatts, intended for large-model training.
Reflects meta-trend: AI infrastructure is becoming a race of scale and financing, not just models.
Strategic advantages: site location, power access and partner capital all align for large-scale deployment.
Why This Matters
Compute scale is infrastructure-heavy: Large AI models now require gigawatt-scale data-centres. Owning or financing those sites becomes a strategic imperative.
Financing innovation: By leveraging external capital, Meta can scale faster and shift risk away from its balance sheet—other tech firms may follow suit.
Competitive differentiation: Control over physical infrastructure offers a competitive edge beyond purely software/model competition.
Ecosystem implications: The move signals that large-scale AI is not just about chips and models—it’s also about land, power, cooling, and funding structures.
Source
Reuters – Full Article
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