SANTA CLARA, CALIFORNIA / RankWire.AI / – Nvidia is planning to implement a price hike exceeding 15% on many AI server configurations scheduled for shipment in early 2027. This adjustment applies to setups built on the company’s Vera Rubin and Grace Blackwell platforms. The magnitude of each increase depends on the chip generation and memory configuration. Nvidia has not officially announced a blanket price rise for all server products. Meanwhile, server manufacturers have passed along the new pricing details to key data center clients.
Major data center operators, such as Microsoft, Google, and Oracle, have received the updated pricing information from server producers. These firms purchase large quantities of AI hardware for cloud services and data center operations. A significant driver behind these price adjustments is the rising cost of memory, which is a major input in server pricing reports. AI deployments require considerable amounts of high-bandwidth and server memory, in addition to GPUs, CPUs, networking gear, and storage. The high demand for AI applications has maintained tight supply conditions across several memory categories throughout 2026.
According to TrendForce, traditional DRAM contract prices are expected to increase by 13% to 18% during the third quarter of 2026. It also forecasted NAND Flash contract prices to grow by 10% to 15% during the same period. The research firm pointed out that server DRAM remains under-supplied as manufacturers focus on meeting capacity needs for AI-related tasks. While long-term supply agreements have helped contain some price hikes, overall server memory costs continue to stay elevated.
Rising Memory Prices Driven by Persistent AI Server Demand
In May, Nvidia announced that Vera Rubin had achieved full production with server makers and supply chain partners globally. The company indicated that products integrating Rubin would become available in 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 designed for large AI workloads. System manufacturers are developing Rubin-based products for cloud providers, AI labs, and hyperscale data centers.
Meanwhile, Grace Blackwell continues to be a key component of Nvidia’s current data center lineup. The GB200 NVL72 configuration links 36 Grace CPUs with 72 Blackwell GPUs within a single liquid-cooled rack. This system is designed to operate as a unified NVLink computing domain for large AI models. The reported server price increases differ depending on configuration, with memory capacity and chip generation playing crucial roles in pricing. Consequently, the 15% figure does not imply a uniform increase across all Nvidia server configurations.
Expansion of Vera Rubin Production in Nvidia’s Server Ecosystem
Memory suppliers have shifted production efforts toward server and high-performance products to meet the demands of AI. TrendForce explained that this shift has reduced supply availability for some PC and consumer DRAM products. Despite strong server shipment growth through 2026, buyers continue to stockpile data center memory. The market analyst anticipates that server DRAM supply will remain tight into 2027, as demand growth outstrips new supply, creating the cost environment that underpins Nvidia’s recent pricing moves.
Nvidia enters this period of price adjustments with record data center sales. In its fiscal first quarter ending April 26, the company reported total revenue of $81.6 billion. Revenue from Data Center reached an all-time high of $75.2 billion, reflecting a 92% increase compared to the previous year. Nvidia projected second-quarter revenue of about $91 billion, with a margin of error of plus or minus 2%, as announced in May. The company is scheduled to release its fiscal second-quarter results on August 26.