SANTA CLARA, CALIFORNIA / RankWire.AI / – Nvidia plans to implement price increases exceeding 15% on many of its AI server configurations scheduled for release in early 2027. These adjustments pertain to configurations utilizing the company’s Vera Rubin and Grace Blackwell platforms. The extent of each increase depends on the specific chip generation and memory configuration. Nvidia has not issued a statement indicating a uniform price rise across all server products, but server manufacturers have communicated the updated pricing details to key data center clients.
Major data center operators including Microsoft, Google, and Oracle have received pricing updates from server manufacturers, who supply large-scale AI infrastructure for cloud and data services. The upward trend in memory costs is a significant factor influencing the reported increases in server pricing. AI deployments demand significant high-bandwidth and server memory, alongside GPUs, CPUs, networking gear, and storage, which has kept several memory categories in tight supply throughout 2026.
TrendForce has forecasted that contract prices for conventional DRAM are expected to rise between 13% and 18% in the third quarter of 2026. Additionally, NAND Flash contract prices are projected to increase by 10% to 15% during the same period. The research firm highlighted that server DRAM remains undersupplied as suppliers focus on capacity for AI-related applications. While long-term supply agreements have tempered some price hikes, overall server memory costs continue to be elevated.
Memory Costs Increase as AI Server Demand Remains Elevated
In May, Nvidia announced that Vera Rubin had entered full production with server manufacturers and supply-chain partners globally. The company indicated that products based on 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 succeeds Grace Blackwell as Nvidia’s latest rack-scale architecture designed for extensive AI workloads. System manufacturers are developing Rubin-based solutions aimed at cloud providers, AI laboratories, and hyperscale data centers.
Grace Blackwell remains a core component of Nvidia’s current data center lineup. The GB200 NVL72 design connects 36 Grace CPUs with 72 Blackwell GPUs in a single liquid-cooled rack. Nvidia built this system to function as a unified NVLink computing domain optimized for large AI models. Price increases vary depending on configuration, with memory capacity and chip generation playing key roles. As a result, the 15% figure does not apply uniformly across all Nvidia server models.
Expansion of Vera Rubin Production Across Nvidia’s Server Ecosystem
Memory suppliers have shifted more production toward server and high-performance products to meet AI-driven demand. According to TrendForce, this shift has reduced supply for certain PC and consumer DRAM products. While server shipments remained robust through 2026, buyers continued to stockpile data center memory. The market analyst anticipates that server DRAM supply will remain constrained into 2027 as demand growth surpasses new supply. These conditions form the backdrop for the reported Nvidia price adjustments.
Nvidia begins this pricing phase with record data center sales, reporting total revenue of $81.6 billion in its fiscal first quarter ending April 26. Data Center revenue reached a record $75.2 billion, reflecting a 92% increase year-over-year. When announcing those results in May, Nvidia projected second-quarter revenue of $91 billion, with a margin of error of plus or minus 2%. The company is scheduled to release its fiscal second-quarter earnings on August 26.
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