@heyshrutimishra: Nvidia just told Microsoft, Google, and Oracle their AI bills are going up 15%. Bloomberg reported this weekend that se…

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Summary

Nvidia is raising prices for AI servers by 15% due to increased memory costs, shifting the supply bottleneck from GPUs to memory manufacturers like SK Hynix, Samsung, and Micron.

Nvidia just told Microsoft, Google, and Oracle their AI bills are going up 15%. Bloomberg reported this weekend that servers built on Grace Blackwell and Vera Rubin chips will cost over 15% more from early next year. Contract manufacturers for Microsoft, Google, and Oracle have already told customers. The instant take was pricing power: Nvidia is so dominant it can charge whatever it wants. The chips didn't get more expensive to make. Memory did. High-bandwidth memory and server DRAM are now among the priciest ingredients in an AI server, and Nvidia is passing that inflation through rather than eating it. A company running roughly 75% gross margins doesn't pass through costs from strength alone. It does it because the bottleneck moved. For three years the constraint on AI was GPUs. The constraint now forming is memory, and the companies that control it are SK Hynix, Samsung, and Micron. Three names that get a fraction of Nvidia's attention just became the toll booth on the entire buildout. Nvidia already raised consumer graphics card prices this month under the same pressure. Nvidia reports earnings Wednesday. Every analyst will ask about demand. The sharper question is upstream: what happens to AI economics when the scarcest component isn't the one Nvidia makes.
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Nvidia just told Microsoft, Google, and Oracle their AI bills are going up 15%.

Bloomberg reported this weekend that servers built on Grace Blackwell and Vera Rubin chips will cost over 15% more from early next year.

Contract manufacturers for Microsoft, Google, and Oracle have already told customers. The instant take was pricing power: Nvidia is so dominant it can charge whatever it wants.

The chips didn’t get more expensive to make. Memory did.

High-bandwidth memory and server DRAM are now among the priciest ingredients in an AI server, and Nvidia is passing that inflation through rather than eating it. A company running roughly 75% gross margins doesn’t pass through costs from strength alone. It does it because the bottleneck moved.

For three years the constraint on AI was GPUs. The constraint now forming is memory, and the companies that control it are SK Hynix, Samsung, and Micron. Three names that get a fraction of Nvidia’s attention just became the toll booth on the entire buildout.

Nvidia already raised consumer graphics card prices this month under the same pressure.

Nvidia reports earnings Wednesday. Every analyst will ask about demand. The sharper question is upstream: what happens to AI economics when the scarcest component isn’t the one Nvidia makes.

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