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NEW: AWS reportedly pausing some data center leasing (Wells Fargo & TD Cowen) First Microsoft, now Amazon? "Untouchable" AI trade might not be so safe. Eyes on Google earnings this thurs

95,635 次观看 • 1 年前 •via X (Twitter)

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Deirdre Bosa 的头像
Deirdre Bosa1 年前

full segment:

Investors.com 的头像
Investors.com1 年前

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This is very alarming Housing developers are realizing that selling parcels to data center developers is far more profitable than building homes “AI data centers aren't just using electricity and water. They're using land previously planned for homes” - 55 homes were purchased for nearly $1 million per house and knocked down to build data centers outside of Chicago - Amazon paid $700 million for land so they could build a data center instead of homes - Meta, Amazon, Microsoft, and Alphabet are spending more money on data centers than the US spent on railroads in the the interstate highway system in the 1950s, and more than the US spent on the Apollo space program States are choosing data centers over homes. There are real examples of this Northern Virginia is the center of this phenomenon known as Data Center Alley, even though the region has a shortage of more than 75,000 homes I found real devastating examples of this happening: Prince William County / Bristow, Virginia (Northern Virginia “Data Center Alley”) The homebuilder Steve Alloy’s company was preparing to develop 516 new homes when surrounding land was rapidly bought up by Microsoft, Google, and other data center operators instead. Nearby, the Village Place housing project entitled for 250 additional units had its land sold to a data center developer for $31 million Stanley Martin Homes Land Flip to Amazon, Prince William County, Virginia Residential homebuilder Stanley Martin Homes assembled 270 acres for about $51 million. They flipped most of it to Amazon for $700 million In Suburban Chicago Illinois. Stream Data Centers bought a 55 home subdivision for nearly $1 million per home, demolished the houses, and built a 2.1 million sq ft data center campus This must be stopped. We have starter home affordable crisis already

Wall Street Apes

62,494 次观看 • 4 个月前

Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the *best* coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.

Santiago

22,104 次观看 • 1 年前

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,450 次观看 • 10 个月前

BlackRock just spent $100 million training plumbers and electricians. The initiative is called Future Builders. The goal is to get 50,000 Americans through skilled trades programs over five years, electricians, HVAC techs, ironworkers, pipefitters. There is a real crisis behind it. America is trying to build the most ambitious AI infrastructure in history. Meta alone is spending up to $50 billion on a single data center campus in Louisiana. That construction requires an enormous amount of electrical work. There are not enough electricians to do it and the numbers are stark. About 200,000 electricians are expected to retire over the next decade. We need over 300,000 new ones just to build out the data centers Big Tech is racing to complete. The gap is not closing on its own. Microsoft and Google have both flagged the electrician shortage as a top constraint on U.S. data center expansion. For decades, the U.S. pushed every student toward a four-year degree. Trade enrollment fell, apprenticeship pipelines thinned out, the workforce aged and was never replaced. Now the bill is coming due at the worst possible time. BlackRock also invested over $3 billion in the bonds financing Meta's Hyperion data center, part of a $27 billion private debt deal, the largest ever structured for a single project. It is now funding both the AI buildout and the workers needed to finish it. AI is not automating the electrician. AI is the reason the electrician now has more leverage than ever. Every model, every data center, every autonomous system runs on physical infrastructure that only a credentialed tradesperson can legally build and energize. The technology that was supposed to replace blue-collar work turned out to need blue-collar work more than any other sector right now.

StockMarket.News

278,150 次观看 • 6 个月前

Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.

Ricardo

209,440 次观看 • 6 个月前