Nvidia Drives Surge as Memory Takes 30% of Hyperscaler Data‑Center Spend in 2024

Nvidia’s “very‑very‑preferred” (VVP) DRAM pricing is the quiet engine behind the hyperscalers’ memory surge. SemiAnalysis, the analyst firm tracking the supply chain, says Nvidia is buying memory “well below both hyperscalers and the broader market” rates, a discount that compresses its own server‑cost exposure while simultaneously pulling down market benchmarks. The result is a paradox: the industry sees a near‑four‑fold jump in memory’s share of data‑center CAPEX, yet Nvidia’s balance sheet looks healthier than its rivals because it can hide the true severity of the DRAM crunch. AMD, by contrast, does not enjoy the same preferential terms and its AI accelerators carry higher memory content per unit, leaving the company more exposed to the price spikes that are already reshaping server bills (SemiAnalysis).

The price pressure is already visible on the shop‑floor. SemiAnalysis notes that AI server models built around Nvidia’s LPDDR‑based platforms are slated to rise up to 20 % by year‑end, a hike driven largely by memory cost inflation. Counterpoint Research corroborates the trend, projecting that a 64 GB DDR5 RDIMM could cost twice as much by the close of 2026 as it did in early 2025. Dell’s chief operating officer, Jeff Clarke, called the pace of cost movement “unprecedented” during the company’s Q3‑2025 earnings call, echoing the sentiment that memory is now the dominant cost driver in AI‑focused servers (Tom’s Hardware). With DRAM ASPs expected to more than double in calendar year 2026 and to climb another double‑digit percentage in 2027, the economics of scaling AI workloads are shifting dramatically (SemiAnalysis).

The supply side is no less dramatic. SemiAnalysis’s modeling shows that high‑bandwidth memory (HBM)—the vertically stacked silicon that powers Nvidia’s most powerful GPUs—remains “massively undersupplied” through 2027. That scarcity, combined with a projected surge in DRAM prices, is turning memory into a strategic commodity rather than a peripheral component. The firm estimates that memory will account for roughly 30 % of total hyperscaler CAPEX in 2026, up from about 8 % in both 2023 and 2024, and it expects the share to climb even higher by 2027 (SemiAnalysis). In a market where hyperscalers are slated to spend roughly $250 billion on incremental data‑center capacity this year, memory’s growing slice translates into tens of billions of dollars of new spend directed at chips, modules, and the logistics that move them.

For Nvidia, the preferential supply terms act as a double‑edged sword. On one hand, they allow the company to undercut competitors on server pricing, reinforcing its dominance in AI‑accelerator sales. On the other, they mask the broader market strain, making it harder for customers and investors to gauge the true cost trajectory of scaling AI infrastructure. As SemiAnalysis points out, the VVP pricing “compresses Nvidia’s own server cost exposure and pushes down overall market pricing benchmarks,” effectively insulating Nvidia while the rest of the industry grapples with soaring component bills (SemiAnalysis). This dynamic could deepen the competitive gap between Nvidia and rivals like AMD, whose AI chips lack similar pricing privileges and therefore carry higher memory‑related expenses.

The broader implication is a reshaping of the data‑center economics playbook. Where once compute power was the headline cost, memory is now the headline act, dictating everything from server design to pricing strategies. Analysts at SemiAnalysis warn that if DRAM prices continue to double and HBM remains scarce, the memory share of hyperscaler spend could approach 40 % by the end of the decade. That would force hyperscalers to rethink architecture choices, potentially accelerating the adoption of alternative memory technologies or prompting a strategic shift toward more efficient, lower‑memory AI models. In the meantime, Nvidia’s privileged access to cheap DRAM gives it a rare advantage in a market that is otherwise being squeezed by an unprecedented supply crunch.