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Nvidia customers notified of AI-related price rises above 15%

Nvidia has notified some of its largest customers that prices for servers containing its AI chips will rise more than 15% in many cases, driven by soaring memory chip costs, according to people familiar with the process. The increases, effective for systems shipped early next year, will affect products including those with the Vera Rubin and Grace Blackwell chips, and will vary by chip generation and memory configuration. Contract server builders for Microsoft, Alphabet's Google, and Oracle have informed customers of the upcoming hikes, highlighting the pricing power of memory makers Samsung Electronics, SK Hynix, and Micron Technology amid surging AI infrastructure demand.

read1 min views2 publishedAug 22, 2026
Nvidia customers notified of AI-related price rises above 15%
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The rises will impact systems including those with the Vera Rubin and Grace Blackwell chips, according to people familiar with the process

Some of Nvidia’s biggest customers have been told that the prices of servers containing its artificial intelligence chips are going up more than 15 per cent in many cases with memory chip costs soaring.

The price rises will go into effect on systems shipped early next year and will impact systems including those with the flagship Vera Rubin and Grace Blackwell chips, according to people familiar with the process, who asked not to be identified commenting on communications that have not yet been made public.

The increases will depend on the generation of Nvidia chips and the memory configurations, they said.

Companies who build the servers under contract for large data centre operators such as Microsoft, Alphabet’s Google and Oracle have recently notified their customers of the forthcoming increases, the people said. Nvidia representatives did not respond to requests for comment.

The inability of the industry’s most dominant company to hold the line on prices or absorb growing costs shows how much leverage makers of memory chips – Samsung Electronics, SK Hynix and Micron Technology – have amid a surge in demand for AI infrastructure.

Major technology companies including Apple and Qualcomm have recently said they have been forced to charge more for their products because of chip shortages.

Nvidia’s accelerator processors are the heart of computers that create and run AI software. Their effectiveness depends on how much dynamic random access memory, or DRAM, they are paired with.

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