正在加载视频...

视频加载失败

"Core Scientific was a data centre play for us - that capacity exists within CoreWeave already." CoreWeave CEO Michael Intrator discusses Core Scientific acquisition. ⏯️

18,422 次观看 • 8 个月前 •via X (Twitter)

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Nvidia just invested $2 billion in CoreWeave yesterday. CoreWeave's entire business is renting out data centers packed with Nvidia GPUs. So Nvidia literally gave money to a company that EXISTS to buy Nvidia chips. Then promised to buy $6.3 billion of CoreWeave's unused capacity BACK. This is the most sophisticated circular financing scheme in tech history. Let me repeat that: Nvidia FUNDS CoreWeave → CoreWeave BUYS Nvidia chips → Nvidia BUYS BACK CoreWeave's unused capacity The money goes in a perfect circle. Nvidia → CoreWeave → Nvidia → CoreWeave → Nvidia Every transaction gets booked as "revenue" on both sides. But the cash just keeps rotating. In Bloomberg's own words: "circular financing deals that have lifted valuations of AI companies and fueled concerns about a bubble." Jensen Huang even went on CNBC after the announcement and accidentally admitted the truth: "We've invested $2 billion into CoreWeave, but the amount of funding that needs to be raised yet to support that five gigawatts is really quite significant. We're investing a small percentage of the amount that ultimately has to go and be provided." Translation: CoreWeave is underwater. The $2 billion is a fraction of what they actually need. CoreWeave has signed over $40 billion in contracts. $22.4 billion with OpenAI. $14.2 billion with Meta. $6.3 billion guaranteed purchase from Nvidia. But they don't have the capacity built yet. They're signing contracts for infrastructure that doesn't exist, funded by debt, backed by Nvidia's promise to buy unused capacity. And this goes deeper... CoreWeave started as a Bitcoin mining company called Atlantic Crypto in 2017. After the 2018 crypto crash, they "pivoted" to AI. Crypto crashes. AI booms. Former miners become "AI infrastructure experts" overnight. Now they're signing $40 billion contracts. Nvidia's play is obvious once you see it: Amazon, Google, and Microsoft are building their OWN AI chips. Trainium. TPU. Maia. So Nvidia's building a "shadow cloud" of smaller providers who are 100% dependent on Nvidia chips. Fund them. Lock them into contracts. Guarantee their purchases. When hyperscalers threaten to leave, Nvidia says "we don't need you, we have CoreWeave." It's vertical integration disguised as investment. But yesterday, something broke. CoreWeave's stock jumped 6% on the news. Bitcoin miners who pivoted to AI infrastructure? Crushed. CleanSpark, IREN, TeraWulf all down 10-15%. Because Nvidia just picked its winner. CoreWeave gets priority GPU access. Everyone else is irrelevant. The smart money already left. SoftBank sold its entire $5.8 billion Nvidia stake in November. CEO said he was "crying" to sell. Michael Burry has $1 billion in puts betting Nvidia crashes. Peter Thiel exited his position. They saw the circular financing and got out. Nvidia funds CoreWeave, CoreWeave buys Nvidia chips, Nvidia buys CoreWeave's capacity... This works as long as: 1. Nvidia keeps funding 2. CoreWeave keeps buying 3. Customers keep renting But the second ONE of those breaks, the whole loop collapses. If CoreWeave can't raise more capital, they can't build capacity. If they can't build capacity, they can't fulfill $40 billion in contracts. If they can't fulfill contracts, Meta and OpenAI walk. If customers walk, Nvidia's $6.3 billion capacity guarantee becomes a LIABILITY. This isn't about whether AI is real. AI IS real. This is about whether the infrastructure buildout is real or just financial engineering. Nvidia manufactures demand by funding customers who buy Nvidia products. Those customers sign contracts they can't fulfill without more funding. Nvidia guarantees to buy back unused capacity. Money circulates. Everyone books revenue. But NOBODY asks where actual demand is. This is either the most innovative infrastructure partnership in history, or the most sophisticated ponzi scheme since 2008. The next six months will tell us which.

Ricardo

71,585 次观看 • 5 个月前

Excited to launch "Novix"🚀, our PhD-level AI-Scientist designed for autonomous scientific discovery. Novix revolutionizes research workflows through comprehensive capabilities spanning: deep research, innovative ideation, intelligent coding, advanced data analysis, automated experimentation, and paper writing. 🌐 Platform Access: 👉 Open-Source Foundation: 🚀 Accelerated Scientific Discovery Pipeline: From concept to publication-ready research with unprecedented efficiency ✨ Core Capabilities: - 🧠 Research Co-Pilot Intelligence: AI-powered ideation and hypothesis generation that collaborates with your research intuition - ⚙️ Autonomous Algorithm Innovation: End-to-end design, implementation, and validation of novel computational approaches - 📊 Intelligent Data Orchestration: Advanced analytics with automated insights discovery and compelling visualizations - 🔬 Scientific Reproducibility Engine: Automated verification and replication of research methodologies and findings - 📚 AI-Powered Deep Survey: Comprehensive literature synthesis and gap analysis across scientific domains We're building an AGI Level 4 innovation engine that empowers researchers, developers, and businesses to achieve breakthrough results in scientific innovation and discovery. From our open-source foundation to this production-ready platform, Novix represents a paradigm shift in how we reshape scientific discovery. 🎁 Launch Benefits - 🚪 Barrier-Free Access: Simply register and start exploring - 💰 Welcome Bonus: New users receive $5 in credits to experience the platform's full potential - 🎯 Enhanced Experience: Complete our user feedback survey to unlock a $20 Pro account with complete feature access We deeply understand the challenges of research work and genuinely hope Novix can serve as your trusted research companion. Join us in this exciting journey of AI-powered scientific discovery and help shape the future of research innovation!

Chao Huang

16,854 次观看 • 10 个月前