Memory shortage reportedly drives Nvidia AI server prices up about 15 percent
Nvidia reportedly raises prices on Vera Rubin and Grace Blackwell AI servers by 15% due to a DRAM shortage from major suppliers. Cloud providers like Microsoft and Google face higher infrastructure costs.
Nvidia is reportedly increasing the cost of its latest AI server systems featuring Vera Rubin and Grace Blackwell accelerators. The price adjustment stems from a constrained supply of DRAM memory from key manufacturers including Samsung, SK Hynix, and Micron.
This development significantly impacts major cloud providers such as Microsoft, Google, and Meta. These organizations are currently allocating substantial capital toward AI infrastructure, meaning higher hardware costs could influence deployment timelines and budget allocations for large-scale model training.
The shortage highlights ongoing supply chain bottlenecks within the AI hardware ecosystem. As demand for high-bandwidth memory continues to outpace production capacity, pricing pressure on training and inference equipment remains a critical factor for industry growth.
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