<\/p>\n
Zuckerberg Follows Musk’s Footsteps<\/h2>\n
The urgency behind Zuckerberg\u2019s tactics is reminiscent of a \u00a0rival in the AI arena\u00a0: Elon Musk. Musk previously captured headlines by installing an astounding 100,000 Nvidia GPUs in a mere 19 days, a feat that left executives such as Jensen Huang in awe. According to a report from SEMIANALYSIS<\/a>, Zuckerberg’s hurried approach has been significantly influenced by Musk\u2019s rapid strides in AI, particularly with \u00a0XAI\u00a0 and \u00a0Tesla\u00a0. Facebook has a storied legacy of embracing a “move fast and break things” policy, and it appears that this philosophy remains deeply embedded within the company’s DNA, now echoing a similar sentiment found in the \u00a0OpenAI\u00a0 community.<\/p>\n <\/p>\n While the tents are erected, Mark Zuckerberg officially announced<\/a> plans to invest \u00a0hundreds of billions\u00a0 of dollars into computational infrastructure aimed at developing superintelligence. The construction of two major data centers has been proposed. The first, named \u00a0Prometheus\u00a0, is set to go operational as early as next year. The second, \u00a0Hyperion\u00a0, aims to rival the size of Manhattan and is expected to have a staggering capacity of up to \u00a05 gigawatts\u00a0 over the next few years. The tents serve as interim setups until the permanent installations are ready. For context, no NVIDIA H100 and H200 operation clusters have exceeded \u00a0200 megawatts\u00a0 to date, according to SEMIANALYSIS.<\/p>\n <\/p>\n The context in which these developments are occurring is crucial. While Meta was once prominently positioned in the \u00a0AI race\u00a0, its focus on the \u00a0metaverse\u00a0 in recent years proved to be a massive financial drain. This dynamic shifted dramatically with the release of \u00a0Flame 4\u00a0, their latest major language model, which unfortunately failed to meet expectations. Competing technologies such as \u00a0O3\u00a0, \u00a0Claude 4\u00a0, and \u00a0Gemini 2.5 Pro\u00a0 quickly overshadowed Meta’s offerings. This awareness of waning competitiveness has led Meta to shift its default programming AI from the underwhelming \u00a0Code Flame\u00a0 to \u00a0Claude\u00a0, representing a significant pivot in strategy.<\/p>\n <\/p>\n Beyond Talent: The Race for Supercomputing Resources<\/strong>. Meta’s ambitious plans demonstrate that \u00a0talent acquisition\u00a0 alone will not suffice in the quest for AI supremacy. Zuckerberg has successfully recruited some of the top minds in the industry, but that is only part of the equation. Moreover, Meta’s acquisition of \u00a0Scale AI\u00a0 has bolstered their data quality, providing another layer of competitive advantage. To complete the trifecta, however, immense computational power is necessary. This is where the newly constructed data centers come into play. Furthermore, Meta is exploring \u00a0nuclear energy\u00a0 options as they aim to enhance their energy efficiency, even proposing a facility that leverages underground geothermal heat.<\/p>\n <\/p>\n The strategy unfolds with a multi-faceted approach, centered not only on acquiring the best talent and models but also on securing substantial computational resources and sustainable energy solutions. It\u2019s a race against time, and the stakes have never been higher.<\/p>\n <img alt=\"In silence, the engineers specialized in AI are becoming the best paid workers in history\" width=\"375\" height=\"142\" src=\"https:\/\/i.blogs.es\/2bebac\/zuck\/375_142.jpeg\"\/><\/code><\/pre>\n<\/div>\n<\/div><\/div>\n<\/div>\nMeta\u2019s Grand Plan for Superintelligence<\/h2>\n
![\"Hyperion\"](\"https:\/\/teknomers.com\/en\/wp-content\/uploads\/2025\/07\/You-are-setting-up-a-data-center-in-tents.jpeg\"\/)
<\/p>\n <\/div><\/code><\/pre>\n<\/div>\nRacing Against Time in AI<\/h2>\n