SANTA CLARA, CALIFORNIA / RankWire.AI / – Nvidia plans to increase prices by more than 15% on many AI server models scheduled for release in early 2027. These hikes apply to configurations utilizing the company’s Vera Rubin and Grace Blackwell platforms. The extent of each price increase varies depending on the chip generation and memory configuration. Nvidia has not publicly announced a blanket price hike across all server products, but server manufacturers have communicated the new pricing details to key data center clients.
Major data center operators, including Microsoft, Google, and Oracle, have been informed of the updated pricing from server manufacturers. These companies purchase substantial volumes of AI infrastructure for cloud services and data centers. The rising cost of memory has become a significant factor influencing the reported increases in server prices. AI applications demand large quantities of high-bandwidth and server memory, alongside GPUs, CPUs, networking hardware, and storage. The high demand for AI deployment has kept several memory categories tight throughout 2026.
TrendForce predicts that traditional DRAM contract prices will increase between 13% and 18% in the third quarter of 2026. Similarly, NAND Flash contract prices are expected to grow by 10% to 15% during the same period. The research firm notes that server DRAM remains undersupplied as suppliers focus on capacity for AI-related needs. Although some long-term supply agreements have limited the extent of price hikes, overall memory costs for servers continue to stay elevated.
Memory costs climb as AI server demand maintains momentum
In May, Nvidia announced that Vera Rubin had reached full-scale production with server manufacturers and supply-chain partners worldwide. The company stated that products based on Rubin would be available during the second half of 2026. Vera Rubin integrates the Vera CPU, Rubin GPU, NVLink 6, ConnectX-9, BlueField-4, and Spectrum-6 networking technologies. It replaces Grace Blackwell as Nvidia’s latest rack-scale architecture optimized for large AI workloads. System manufacturers are now developing Rubin-based products for cloud providers, AI research labs, and hyperscale data centers.
Meanwhile, Grace Blackwell continues to play a vital role in Nvidia’s current data center lineup. The GB200 NVL72 configuration links 36 Grace CPUs with 72 Blackwell GPUs within a single liquid-cooled rack. Nvidia designed this system to function as a unified NVLink computing domain for large AI models. The reported server price increases differ depending on the specific configuration, with memory capacity and chip generation being key factors. Therefore, the 15% figure does not reflect a uniform increase across all Nvidia server setups.
Expansion of Vera Rubin production drives Nvidia’s server ecosystem growth
Memory suppliers have shifted more production capacity toward server and high-performance applications due to AI-driven demand. According to TrendForce, this reallocation has reduced supply availability for certain PC and consumer DRAM products. Despite strong server shipments through 2026 and ongoing inventory building by buyers, the market researcher anticipates server DRAM supplies will remain tight into 2027, as demand growth surpasses new supply. These market conditions underpin the pricing increases Nvidia has announced.
Nvidia begins this pricing phase with record-breaking data center sales. For its fiscal first quarter ending April 26, the company reported total revenue of $81.6 billion, with data center revenue reaching a record $75.2 billion—a 92% increase year-over-year. When reporting those results in May, Nvidia forecasted second-quarter revenue of around $91 billion, plus or minus 2%. The company plans to publish its fiscal second-quarter results on Aug. 26.