The neoclouds are burning cash by the billion. Nvidia just lined up the money to keep them building
Why it matters: Nvidia has quietly assembled every piece of a cloud giant, and it doesn't even need to own the buildings. That is the theory making the rounds, and once you see it laid out, the last two years stop looking like a chip company having a very good run and start looking like a plan. The financing arrangement Nvidia signed this month with BlackRock, Goldman Sachs, and four other Wall Street heavyweights, aimed at funneling more than $500 billion of outside capital into AI data centers, would be the last piece clicking into place. Most outlets filed it under the now usual "more AI money" headline, but there is a more interesting read.
Jarvis might approve, but many remain opposed to AI
A hot potato: It's another day, another executive singing the praises of AI and suggesting more people embrace the technology. This time, it's Google Cloud's gaming boss, who boldly compared AI to the Iron Man suit in that it allows people to do things they previously couldn't – like giving them more time to look for a new job, presumably.
Facepalm: One of Google Cloud's worst nightmares came true in early May, when an embarrassing snafu completely erased a customer's account and data backups. The unlucky victim was Australian pension fund UniSuper, which manages a staggering $135 billion in assets for over 600,000 members. The pension fund was essentially frozen for two weeks, unable to fully operate while it scrambled to recover from third-party backups.
WTF?! With a market cap of $1.18 trillion, Google is one of the biggest companies in the world, so one wouldn't expect some of its employees to share desks with co-workers. But that will become a reality starting from the next quarter as Google embraces "real estate efficiency."
Why it matters: Cloud is always sold as a solution to spare money over on-premise hardware and traditional software applications. A recent report says otherwise, showing how cloud platforms can waste money if customers don't know how to manage resources efficiently, which they usually don't.