SANTA CLARA, CALIFORNIA / RankWire.AI / – Nvidia is set to implement price increases exceeding 15% for numerous AI server configurations scheduled for shipment in early 2027. These adjustments impact systems based on Vera Rubin and Grace Blackwell technology, with final price hikes varying depending on chip generation, memory size, and system design. Nvidia has not announced a unified, companywide increase covering all server models, but manufacturers assembling AI systems have informed large data center clients of revised pricing structures.
Microsoft, Google, and Oracle are among the leading cloud providers procuring significant volumes of accelerated computing hardware. Their data centers utilize AI servers for model training, inference, and cloud services. Throughout 2026, memory costs have emerged as one of the most significant financial pressures across these systems. Modern AI servers integrate GPUs with high-bandwidth memory, server DRAM, storage, and high-speed networking, with strong demand for these components keeping supplies tight in several memory market segments.
TrendForce predicted that conventional DRAM contract prices would rise by 13% to 18% during the third quarter of 2026, while NAND Flash contract prices were forecasted to increase by 10% to 15% over the same period. Server DRAM remains especially constrained as memory manufacturers prioritize capacity for AI and data center products, driving up the cost of building advanced computing systems and forming a key element of the pricing landscape for next-generation AI servers.
Memory expenses exert additional pressure on AI infrastructure
According to Nvidia, Vera Rubin began full production with server manufacturers and supply-chain partners in 2026, and partner systems featuring the platform are expected to be available in the second half of the year. Rubin combines the Vera CPU and Rubin GPU with NVLink 6 and various networking technologies, targeting large-scale AI workloads in cloud and hyperscale data centers. It follows Grace Blackwell as Nvidia’s newest rack-scale computing architecture.
Grace Blackwell continues to be a key component in current AI data center deployments. The GB200 NVL72 system links 36 Grace CPUs with 72 Blackwell GPUs within a liquid-cooled rack, designed to operate as a single large NVLink computing domain. Price adjustments related to these systems depend on hardware configurations rather than a uniform percentage; factors such as memory capacity, processor generation, and rack design influence the final cost of each server setup.
Demand for servers sustains tight memory supplies
Memory producers have shifted more of their output toward server and high-performance products to meet artificial intelligence demand, which TrendForce says has reduced supply for some PC and consumer memory segments. Data center operators continued purchasing large quantities of server memory throughout 2026, and the research firm predicts that server DRAM availability will stay limited into 2027 as demand outpaces new supply, continuing to influence component prices across AI infrastructure.
Following another record quarter of data center revenue, Nvidia enters this pricing phase with fiscal first-quarter revenue reaching $81.6 billion for the period ending April 26, 2026. Data Center revenue alone hit $75.2 billion, representing a 92% increase from the same quarter last year. Nvidia also forecasted second-quarter revenue at around $91 billion, plus or minus 2%. The company is scheduled to release its fiscal second-quarter results on Aug. 26, offering the latest insight into its financial performance.