#亚马逊拟售80亿美元英伟达芯片
Amazon to sell approximately $8 billion worth of Nvidia AI chip assets
Amazon is in talks with investors to transfer approximately $8 billion worth of Nvidia Grace Blackwell chips through a special purpose vehicle (SPV), and then rent them back so they can continue to be used for data centers.
Key logic:
This is not about exiting AI compute power; it’s about asset-light financing The chips continue to be used by AWS, and AI compute demand has not decreased as a result This year Amazon’s capital expenditures are expected to be about $220 billion, with massive investment in AI data centers.
This model turns expensive GPU assets into financing-able assets, reducing the burden of holding assets.
For Nvidia, it actually indicates that GPUs are evolving from being just hardware into AI infrastructure assets that are financeable and securitizable.
For NVDA:
In the short term, the market may interpret it as “a customer selling GPUs,” creating sentiment pressure, but the deal itself does not mean GPU demand is falling. AWS previously announced plans to deploy an additional 2 million Nvidia GPUs—cooperation is still expanding.
My view:
What’s truly worth关注 in this news is not “Amazon selling chips,” but rather that—
AI compute power is entering a phase of “GPU asset financialization.”
🚨 $ETH Trading strategy
After a pullback to $2,680 holds steady, go long
🟢 Entry: around $2,680 after stabilization
🔴 Stop loss: $2,648
🎯 Target 1: $2,800
🎯 Target 2: $2,930
Trading logic:
① Up 70.9% in Q3, with the medium-term trend remaining strong
② $2,680 as a key short-term support level; a pullback that does not break it shows the bulls are still defending
③ After stabilization, a renewed push with increased volume confirms that capital is being absorbed
④ After breaking above $2,800, the next target looks toward $2,930
Risk control:
If it breaks below $2,648, it means support has failed and the trading logic is canceled.
Don’t chase; wait for confirmation after a pullback. Go long only when support is effective.
👇👇👇【Click the trading link below—your support is my motivation to keep updating】👇👇👇🚀🚀🚀🌹🌹🌹
Amazon to sell approximately $8 billion worth of Nvidia AI chip assets
Amazon is in talks with investors to transfer approximately $8 billion worth of Nvidia Grace Blackwell chips through a special purpose vehicle (SPV), and then rent them back so they can continue to be used for data centers.
Key logic:
This is not about exiting AI compute power; it’s about asset-light financing The chips continue to be used by AWS, and AI compute demand has not decreased as a result This year Amazon’s capital expenditures are expected to be about $220 billion, with massive investment in AI data centers.
This model turns expensive GPU assets into financing-able assets, reducing the burden of holding assets.
For Nvidia, it actually indicates that GPUs are evolving from being just hardware into AI infrastructure assets that are financeable and securitizable.
For NVDA:
In the short term, the market may interpret it as “a customer selling GPUs,” creating sentiment pressure, but the deal itself does not mean GPU demand is falling. AWS previously announced plans to deploy an additional 2 million Nvidia GPUs—cooperation is still expanding.
My view:
What’s truly worth关注 in this news is not “Amazon selling chips,” but rather that—
AI compute power is entering a phase of “GPU asset financialization.”
🚨 $ETH Trading strategy
After a pullback to $2,680 holds steady, go long
🟢 Entry: around $2,680 after stabilization
🔴 Stop loss: $2,648
🎯 Target 1: $2,800
🎯 Target 2: $2,930
Trading logic:
① Up 70.9% in Q3, with the medium-term trend remaining strong
② $2,680 as a key short-term support level; a pullback that does not break it shows the bulls are still defending
③ After stabilization, a renewed push with increased volume confirms that capital is being absorbed
④ After breaking above $2,800, the next target looks toward $2,930
Risk control:
If it breaks below $2,648, it means support has failed and the trading logic is canceled.
Don’t chase; wait for confirmation after a pullback. Go long only when support is effective.
👇👇👇【Click the trading link below—your support is my motivation to keep updating】👇👇👇🚀🚀🚀🌹🌹🌹
