Read memory and GPU price headlines carefully

Micron described growing AI data-center demand and tight DRAM and NAND supply in its fiscal-2026 commentary. That is a manufacturer's account of supply conditions, not a price list for every consumer memory kit or graphics card. ^[1]

Two original posts discussed rising memory prices and possible GPU increases. The prediction that an RTX 5090 could reach $5,000 should remain a prediction from that period, not an official NVIDIA price. NVIDIA's launch announcement listed a $1,999 starting price; actual products, retailers, regions and dates differ. ^[2]

Compare a specific configuration

Record the exact part, memory capacity, seller, warranty and total local price. Separate a manufacturer's starting price from a partner model's price and a marketplace reseller's asking price.

For local AI, estimate the memory your actual model needs before buying hardware. For development, measure whether memory pressure is slowing builds or tests. An upgrade should solve an observed limit.

Avoid buying solely because a headline predicts another increase. Compare available options against the work you need to run and the budget you can justify.