Meanwhile, data centers, as you heard at the beginning of the show, this is the hottest sector in real estate right now. They also literally run hot, consuming more energy than a lot of local grids can handle. So, seriously, what if you put them in outer space.I think we've heard Elon Musk talk about this, but Diana Olick is here to truly explain. Yeah, and I know, Kelly, it sounds nuts, right. It does.Look, but this is one of the next great plays in real estate, lunar construction and development of data c ...

RT Bloomberg Live (@BloombergLive)On data centers and energy usage, "Data centers don't need the grid, you can put the data center where the power source is." @khoslaventures’ @vkhosla #BloombergGreen⏯️ https://t.co/ApZaC2fw70 https://t.co/Ku8WOUUlFz ...

Market Competition and Geopolitics - The US administration restricts the sale of state-of-the-art semiconductors to China, allowing the sale of heavily deprecated chips like the H-20 as part of trade negotiations [1][2] - Huawei's Cloud Matrix technology, networking multiple chips, is becoming a viable competitor to Nvidia, potentially impacting market share [5][6][8] - Preventing American companies from competing in the Chinese market could give Huawei a significant advantage in R&D and global competition [7][8] - The US aims to encourage countries like the UAE to adopt American technology and build data centers on the American tech stack, countering China's influence [12][13] - The industry emphasizes the importance of American companies competing globally to maintain market share and win the AI race, with a target of 80% market share for American companies in five years [11][15] Technology and Security - Nvidia's chips are currently three times more powerful than Huawei's, but networking Huawei's chips can achieve similar results [6] - Security concerns regarding chip sales can be addressed through inspections of data centers to monitor server racks [16] - The US seeks to establish American technology as the global standard, similar to the US dollar as the world's reserve currency, emphasizing the importance of a strong partner ecosystem [18][22] Energy and Infrastructure - Energy security is a national security priority, with concerns about having enough energy resources to power data centers [26] - Pennsylvania is a major energy-producing state with abundant natural gas, which is expected to power data centers in the near term [26][27] - The US electric grid's growth has lagged behind China's, necessitating major new investments to support data centers [28][29]

Time for Kramer's Mad Dash. We talked Nvidia. Not the only story though.No, I mean the data centers are the story again. Pennsylvania data centers, uh, the building of them, whether it be core weave, whether we're the the president's going to Pennsylvania. Pennsylvania being a hub for all these uh, everyone wants to play the parts of a data center again.That really cool in April. No one cared. These stocks got killed.uh but Eaton put out a release say accelerates the transformation of data center infrastruc ...

Real Estate & Technology - Data centers in space are emerging as a potential real estate sector due to unlimited solar power and cooling from the vacuum of space [2] - The concept involves lunar construction and development of data centers, addressing constraints on Earth [1][3] - Data is transmitted back to Earth digitally [4] - A company named Ethos is using moon rock to create concrete-like material for construction on the moon [4] Geopolitical & Competitive Landscape - The US is in a race with China, which aims to land astronauts on the moon by 2030 [5] - The US approach involves reusable ships and commercialization [5] Investment & Future Outlook - Hines, a real estate firm, is already investing in Space Coast warehousing to support space-related activities [2] - The real estate play is dependent on the readiness of rockets [5] - A new platform called Property Play is launching, targeting real estate investors [6]

AI Investment and Strategy - Meta is aggressively investing hundreds of billions of dollars in compute buildout to achieve super intelligence, aiming for AI systems that outperform humans [1][2] - Meta is building multiple multi-gigawatt clusters, including Prometheus (coming online in 2026) and Hyperion (scaling to 5 gigawatts over several years), requiring more energy than some countries [2][3] - Meta aims to have the highest compute per researcher in the industry, potentially surpassing hyperscalers like Microsoft and Amazon in raw model training capacity [3] - Zuckerberg is focused on controlling the compute, team, and model building to reduce dependence on others for the next frontier model [4][5] Competitive Landscape - Meta's investment puts it in direct competition with OpenAI and Oracle's Project Stargate [3] - Google is also investing heavily, with plans to have a one-gigawatt supercluster online [6] - The race for AI dominance is shifting power back to model builders who own the stack and have the capital to build and train at scale [5][6] Business Model and Future Vision - Meta's advertising-driven business model generates significant cash, which is being reinvested in AI models to optimize ad load and consumer experience [9] - Zuckerberg aims to expand Meta's AI capabilities beyond advertising, envisioning Meta AI as a chatbot and AI coding platform [10] - The ultimate goal is to achieve "super intelligence" and reap the rewards of a platform shift [11]

Meta's AI Infrastructure Expansion - Meta is constructing several multi-gigawatt compute clusters, with the first, Prometheus, expected to be online in 2026 and capable of 1 gigawatt of energy [1] - Meta is also building Hyperion, which will scale up to 5 gigawatts over several years, alongside multiple Titan clusters [2] - This energy capacity rivals that of hyperscalers like Microsoft and Amazon and matches the scale OpenAI and Oracle are aiming for with Project Stargate [2] Strategic Implications - Meta's investment signals its commitment to matching the ambition of other AI leaders "watt for watt" [3] - Zuckerberg's significant spending on AI aims to attract AI talent and dominate the next era of frontier AI models [3] - Meta's massive compute power aims to capture attention from hyperscalers, despite not having an enterprise cloud business, to serve its own AI ambitions [5] Market Reaction - Meta's stock price initially increased by approximately 0.9% following the announcement [3]

CoreWeave’s purchase of a cryptocurrency miner gives it ready-built data centres and power agreements with local utilities, both of which are needed to meet ballooning demand for AI https://t.co/Ih6JZrEbcJ ...

AI Infrastructure and Development in Europe - Europe should prioritize developing AI use cases for industries like life science, logistics, and manufacturing rather than competing on infrastructure with the US and China [2] - Focusing solely on building data centers in Europe may not meet current demand; a demand-driven approach from the software and AI layer is needed to stimulate chip demand [5][6] - While infrastructure is necessary, Europe's focus should be on the application layer and building industrial AI, as customers have choices beyond US hyperscalers [4][15][16] AI Regulation and Sovereignty - The primary concern in European AI discussions is often regulation, potentially overshadowing competitiveness and opportunities [7][8] - The EU AI Act, while well-intentioned, risks hindering development if member states create overlapping and inconsistent policies, impeding startup scaling [9][10][11] - Data sovereignty means controlling data location and access, with encryption, rather than solely focusing on the origin of hardware components [14] - Complete technological independence from the US is unrealistic; hardware components will inevitably come from various global sources [13][14]

Earlier this year, a team of Bloomberg reporters went to EW, a remote county in Shinjang, China. They were there as part of an investigation that a handful of Chinese companies were building some 40 data centers across the desert and plan to power them with tens of thousands of NVIDIA chips. Chips that the US banned from being exported to China in 2022.So by building these data centers and build up the like computing power, they aim to build a local domestic AI industry that can go head-to-head with open AI ...