Nvidia Raises AI Server Prices Amid Memory Chip Shortage

Nvidia Corp. is increasing the prices of its artificial intelligence servers by more than 15% in many cases, with the hikes taking effect on systems shipped early next year. The price increases specifically impact systems featuring the Grace Blackwell and Vera Rubin chips, with final costs varying by chip generation and memory configuration. Contract server builders have already notified major data center operators, including Microsoft Corp., Alphabet Inc.'s Google, and Oracle Corp., of the upcoming costs.

The price surge is driven by soaring costs for dynamic random access memory (DRAM), which has granted significant market leverage to primary manufacturers Samsung Electronics, SK Hynix Inc., and Micron Technology Inc. This supply-demand imbalance was highlighted by Elon Musk, who noted that while customer demand for compute capacity is growing at 200%, unit volume for memory chips is increasing by only 20% year-over-year. Musk and Space Exploration Technologies Corp. plan to deploy 15 to 20 gigawatts of compute capacity for AI data centers by the end of 2027.

While major customers such as Amazon and Meta are developing in-house chip programs to reduce their dependency, they remain reliant on Nvidia for current data center build-outs. These rising costs add complexity to global AI infrastructure projects already hampered by capital market tightening and labor shortages. In a related move to expand its own AI capabilities, Alibaba Group Holding Ltd. recently launched a $10.2 billion share sale.