Test report DSG-6897 · Rev F · tested October 16, 2026
Memory & StorageDevice under test
Data Centers to Absorb 70% of Memory Chip Output in 2026
Data centers will take 70 percent of global memory chip output in 2026, per Tom's Hardware. The supply shortfall is spreading beyond servers into other chip segments.
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- Grace Kim
Spec summary
- Data centers will consume 70 percent of memory chips made in 2026
- Supply shortfall will spread the chip shortage to other market segments
- Remaining 30 percent of memory output must cover PC, mobile and automotive demand
- Allocation decisions for 2026 supply are being locked in now

Data centers will consume 70 percent of all memory chips manufactured in 2026, according to Tom's Hardware. The figure signals a structural supply shortfall, one that's already spilling beyond the server market into other chip segments.
That number matters because memory doesn't get made to order. DRAM and NAND production lines run at capacity years in advance, and fab allocation decisions made now lock in who gets wafers in 2026. When seven of every ten chips go to hyperscale data centers, everyone else fights for the remaining 30 percent.
What does the shortage change for buyers?
The practical question for OEMs, PC makers, phone vendors and automotive suppliers: what's left after the data centers take their share? The answer, per Tom's Hardware reporting, is a shortage that spreads. Segments that previously had stable memory supply now compete for a shrunken pool.
The dynamics are straightforward:
- Data center demand, driven largely by AI infrastructure buildouts, has priority claims on allocated capacity
- Memory makers shift wafer allocation toward the highest-paying, highest-volume customers
- Lower-priority segments — consumer devices among them — absorb the shortfall through constrained supply
- The shortage propagates: tight memory supply tightens adjacent chip segments
It's the classic allocation squeeze. Suppliers triage. Contracts get rewritten. Spot prices move first, long before consumers see anything.
Why data centers pull so hard
AI workloads are memory-hungry by design. Training and inference clusters need high-bandwidth memory and dense DRAM in volumes that conventional computing never demanded. Each new GPU-class server deployment carries a memory bill measured in terabytes, not gigabytes.
That demand profile doesn't flex downward. Hyperscalers commit to multi-year capacity plans, and memory vendors retool production to match. Once 70 percent of output is committed, there's no fast lever to rebalance toward phones or PCs if those markets tighten.
What to watch
Watch pricing first. Contract pricing for 2026 delivery windows will reveal how sharply the allocation fight bites. Watch second-order effects next — device makers passing memory cost increases through to consumers, or trimming configurations to fit thinner supply.
The timeline is short. Production decisions shaping 2026 availability are being made now. Buyers who wait for the market to loosen are, on these numbers, waiting for something that isn't coming.
Tom's Hardware's headline number — 70 percent, one year out, one dominant customer class — reads less like a forecast and more like a commitment already priced in.
via Google News: DRAM chip (Source)
More from Grace Kim
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Market editor covering regulation, policy and their impact on hardware layer of artificial intelligence at Die Signal.
423 articles
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