Meta and BlackRock Announce Texas Data Center Joint Venture
Key Takeaways
- •Meta and BlackRock plan to build a major data center campus in Texas through a joint venture.
- •The project is meant to address power and compute constraints affecting the scaling of AI models.
- •Texas was chosen for its energy availability and supportive legislation, but no capacity figures have been released.
- •The development also affects blockchain-related computing, including crypto mining and decentralized GPU marketplaces that compete for similar resources.
- •Future phases may include construction approvals, power agreements, and possibly blockchain-based tracking of energy flows into the facility.

Meta and BlackRock have announced a joint venture to build a major data center facility in Texas, a development that underscores how quickly the race to secure AI infrastructure is accelerating.
As demand rises for GPU computing power and energy, the planned campus highlights a broader shift: data centers are becoming critical infrastructure for both artificial intelligence and blockchain-related activity.
The Deal and Its Scope
The campus is intended to address the power and compute constraints that have limited the development and scaling of AI models. Meta, a leader in building large-scale infrastructure, is partnering with BlackRock, a major investment firm with the capacity to make substantial financial commitments.
Source: Figma
Texas was chosen largely for two reasons: energy availability and supportive legislation. The selection also reflects how location and power grid capacity are increasingly shaping the deployment of AI and other heavy-compute workloads. No exact capacity details have been disclosed by the two parties so far.
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The Significance for Cryptocurrency and Blockchain
Crypto mining and other blockchain-based activities, including decentralized GPU marketplaces such as Render and Akash, face the same fundamental constraint: they compete for limited resources, including electricity, semiconductors and heat dissipation capacity. BlackRock’s institutional participation suggests that compute infrastructure is increasingly being treated like a financialized asset class, similar to real estate or energy.
Meta and BlackRock are teaming up to build a major data center campus in Texas. This is another sign that the AI infrastructure race is accelerating. The demand for computing power is exploding as companies compete to build the backbone of artificial intelligence. Data centers… pic.twitter.com/283s8Bk5vd — That Martini Guy ₿ (@MartiniGuyYT) July 28, 2026
Meta and BlackRock are teaming up to build a major data center campus in Texas. This is another sign that the AI infrastructure race is accelerating. The demand for computing power is exploding as companies compete to build the backbone of artificial intelligence. Data centers… pic.twitter.com/283s8Bk5vd
The development also raises a new due diligence focus for exchanges and managers around energy costs, power access, and hardware supply chains, since large-scale AI buildouts and crypto infrastructure depend on many of the same upstream inputs. Meta developers are not the only ones affected.
Margins could come under pressure if large enterprises outbid decentralized compute demand for scarce resources, although lease-based partnership models for capacity are also emerging.
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TradFi Meets On-Chain Compute
The Meta initiative fits into a broader 2025-2026 trend of bringing tokenized real-world assets on-chain and blending traditional finance with digital infrastructure.
Inflows into REITs (real estate investment trusts) and AI-linked ETFs show that investors increasingly view compute as a yield-generating asset.
Source: Juno Finance
Future phases are expected to include construction approvals, securing power through agreements, and the possible use of blockchain to track and manage energy flows into the facility, if those systems are adopted as part of the buildout.
The project’s outcome will help determine whether crypto communities gain access to lower-cost computing services or whether supply constraints remain the dominant factor.
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