Nvidia customers notified of AI-related price hikes of above 15%: Sources
Sign up now: Get ST's newsletters delivered to your inbox
The price hikes will go into effect on systems shipped early 2027.
PHOTO: REUTERS
- Nvidia is raising prices by over 15% on AI chip servers shipping in early 2027 due to soaring memory chip costs from Samsung, SK Hynix, and Micron.
- The price hikes reflect strong demand for AI infrastructure and limited memory chip supply, increasing costs for major tech companies like Microsoft and Google.
- These increases may complicate AI data centre projects amid existing challenges like delays, labour shortages, and financing, while customers seek more independence in chip supply.
AI generated
SAN FRANCISCO – Some of Nvidia’s biggest customers have been told that the prices of servers containing its artificial intelligence chips are in many cases going up by more than 15 per cent, with memory chip costs soaring.
The price hikes will go into effect on systems shipped in early 2027, 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 which 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 sources 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.
The two South Korean companies and Micron account for most of the world’s production of that type of chip.
While they have been increasing output, they still have not caught up with surging demand.
That has driven the price of the commodity-like components up massively and given their manufacturers unprecedented influence in technology.
Nvidia is one of the most profitable companies in semiconductors.
It can charge tens of thousands of dollars for a chip because supply – from contract manufacturer Taiwan Semiconductor Manufacturing – still cannot meet runaway demand.
The company has a gross margin, or percentage of sales remaining after deducting the cost of production, of 75 per cent.
Originally derived from PC gaming chips that sold for hundreds of dollars, AI accelerators have seen prices being driven up by incessant demand and, as yet, a dearth of viable alternatives for Nvidia’s offerings.
Nvidia has also raised prices for its gaming-oriented PC graphics cards, industry news site Tom’s Hardware reported earlier in August.
How Nvidia’s customers react to this latest move and whether it will create an opening for its competitors will likely depend on whether they can secure enough memory themselves.
Major customers like Amazon, Microsoft, Google and Meta are all pursuing their own in-house chip programmes, but are still dependent on purchases from Nvidia for their data centre build-outs.
Their ability to push forward with greater independence will also depend on their access to supply from Samsung, SK Hynix and Micron.
The price increases are also likely to add complexity to the industry’s massive AI data centre build-out ambitions. Project delays, labour shortages, tightening capital markets and community resistance to developments have already complicated many plans.
Nvidia is reporting fiscal second-quarter earnings next week.
The updates by the world’s most valuable publicly traded company have become a key update for the technology industry and the investors who have poured money into AI infrastructure on the promise that it will transform the economy. BLOOMBERG

