Elon Musk has announced plans to deploy up to one million Nvidia Blackwell AI chips at a new xAI facility in Memphis, with Tesla and xAI continuing to purchase chips from Nvidia and AMD. The xAI data center is expected to be OpenAI's largest, potentially using up to 50,000 Nvidia Blackwell chips per building, with ambitions to scale to 400,000 chips, representing compute capacity equivalent to one million current-generation chips. This would surpass previous records such as the 100,000-chip Hopper cluster used to train Grok 3. Meanwhile, CrusoeAI is developing a $15 billion AI data center complex in Abilene, Texas, expanding to eight buildings and powered by 1.2 gigawatts of energy, with nearly 3,000 daily on-site workers. This facility is described as one of the world's largest AI factories, emphasizing the critical role of energy and infrastructure in AI development. The AI data center projects highlight the growing demand for advanced cooling solutions, such as liquid cooling, due to the high power density of new GPUs. Industry players including Microsoft are rapidly deploying hundreds of thousands of Nvidia Blackwell GPUs across Azure AI-optimized data centers globally, with OpenAI already running production workloads. Additionally, decentralized AI networks and infrastructure providers are emerging to address compute scarcity and cost efficiency, offering alternatives to traditional hyperscalers. These developments underscore the increasing scale and complexity of AI infrastructure needed to support next-generation AI workloads.