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3 days agoMeta Commits $1.5B for Texas AI Datacenter to Accelerate Infrastructure Scale
A fresh $1.5 billion capital-expenditure plan will fund Meta’s new AI-optimized datacenter in Texas, intended to support training and inference workloads across future product roadmaps. Rather than incremental upgrades, the facility is designed around high-density compute, advanced liquid cooling, and renewable power tie-ins. Management targets full operations by 2026, citing expected efficiency gains for recommendation engines and generative features. Analysts view the move as a strategic capacity build supporting revenue growth, though near-term operating expenses and depreciation are likely to rise as construction advances.
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3 days agoMeta Commits $1.5B for Texas AI Datacenter to Accelerate Infrastructure Scale
A fresh $1.5 billion capital-expenditure plan will fund Meta’s new AI-optimized datacenter in Texas, intended to support training and inference workloads across future product roadmaps. Rather than incremental upgrades, the facility is designed around high-density compute, advanced liquid cooling, and renewable power tie-ins. Management targets full operations by 2026, citing expected efficiency gains for recommendation engines and generative features. Analysts view the move as a strategic capacity build supporting revenue growth, though near-term operating expenses and depreciation are likely to rise as construction advances.
Explore:Mutual Fund Home
positive
Meta Commits $1.5B for Texas AI Datacenter to Accelerate Infrastructure Scale
3 days ago
1 min read
84 words
Meta will invest $1.5 billion in a Texas AI datacenter, targeting 2026 operations to expand training and inference capacity despite higher near-term costs.
A fresh $1.5 billion capital-expenditure plan will fund Meta’s new AI-optimized datacenter in Texas, intended to support training and inference workloads across future product roadmaps. Rather than incremental upgrades, the facility is designed around high-density compute, advanced liquid cooling, and renewable power tie-ins. Management targets full operations by 2026, citing expected efficiency gains for recommendation engines and generative features. Analysts view the move as a strategic capacity build supporting revenue growth, though near-term operating expenses and depreciation are likely to rise as construction advances.
A fresh $1.5 billion capital-expenditure plan will fund Meta’s new AI-optimized datacenter in Texas, intended to support training and inference workloads across future product roadmaps. Rather than incremental upgrades, the facility is designed around high-density compute, advanced liquid cooling, and renewable power tie-ins. Management targets full operations by 2026, citing expected efficiency gains for recommendation engines and generative features. Analysts view the move as a strategic capacity build supporting revenue growth, though near-term operating expenses and depreciation are likely to rise as construction advances.
Companies:
Meta Platforms
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stocks
AI infrastructure
stocks
AI infrastructure
capex
datacenters
technology
Oct 27, 2025 • 16:21 IST







































