As the AI compute competition intensifies, xAI is aiming for 50M GPUs by 2030, whereas OpenAI is aiming for 1M in 2025


Elon Musk’s xAI and Sam Altman’s OpenAI are escalating the AI infrastructure race with massive compute expansion plans. xAI aims to bring online 50 million H100-equivalent units by 2030, vastly outscaling OpenAI’s goal of 1 million GPUs by 2025. Musk’s strategy emphasizes not just scale but greater power efficiency, indicating his ambition to make xAI a dominant force in AI development.

OpenAI, meanwhile, is pursuing its expansion through Project Stargate, a $50 billion initiative to build AI infrastructure in the U.S., starting with a massive site in Abilene, Texas. Backed by SoftBank, Oracle, Microsoft, NVIDIA, and Arm, the project reflects OpenAI’s focus on securing chip supply chains and managing energy demands.

Both companies see compute power as the key to future AI breakthroughs. However, concerns around energy consumption and sustainability remain largely unaddressed. This race is no longer just about smarter models—it’s about who can build faster, bigger, and more efficient AI infrastructure.


 

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