$NVDA Brought $50 billion in capital into AI!
Six Wall Street giants collectively jump in.
Chips, data centers, and power all need money!
AI computing power is becoming a new asset class.
This round of infrastructure frenzy has just kicked into the throttle!
Nvidia officially teamed up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish an AI computing power financing platform, aiming to tap more than $50 billion in third-party capital. The funds will keep expanding around GPUs, AI data centers, power, and the entire computing infrastructure.$BTC #英伟达将限制5000亿美元AI融资敞口
What’s even more aggressive is that Nvidia now not only sells chips—it also wants “AI computing power” itself to become an asset that Wall Street can hold and finance long-term. Once the capital side is connected, the funding pressure for customers to expand their AI factories will drop; in turn, it can further amplify demand for GPUs and the entire AI infrastructure.$ETH
With $50 billion truly put to work, this AI spending cycle is far from topping out.
Wall Street has started feeding cash into computing power—next round of funding may continue to chase after AI core assets and go hard again.
Click the card below and start right away!👇
Six Wall Street giants collectively jump in.
Chips, data centers, and power all need money!
AI computing power is becoming a new asset class.
This round of infrastructure frenzy has just kicked into the throttle!
Nvidia officially teamed up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish an AI computing power financing platform, aiming to tap more than $50 billion in third-party capital. The funds will keep expanding around GPUs, AI data centers, power, and the entire computing infrastructure.$BTC #英伟达将限制5000亿美元AI融资敞口
What’s even more aggressive is that Nvidia now not only sells chips—it also wants “AI computing power” itself to become an asset that Wall Street can hold and finance long-term. Once the capital side is connected, the funding pressure for customers to expand their AI factories will drop; in turn, it can further amplify demand for GPUs and the entire AI infrastructure.$ETH
With $50 billion truly put to work, this AI spending cycle is far from topping out.
Wall Street has started feeding cash into computing power—next round of funding may continue to chase after AI core assets and go hard again.
Click the card below and start right away!👇