SIGNALInfrastructure Software·Jun 28, 2026, 6:32 PMSignal50Structural

Historical memory prices 1960-2026

Historical memory prices 1960-2026

Article URL: https://dam.stanford.edu/memory-prices.html Comments URL: https://news.ycombinator.com/item?id=48710092 Points: 215 # Comments: 81

Why this matters
Why now

This publication provides a longitudinal view of memory pricing, which is particularly relevant now given the increasing demand for compute and the historical context informing future cost expectations.

Why it’s important

Historical memory prices are a fundamental data point for understanding the long-term economics of computing and forecasting future hardware costs, impacting strategic decisions in technology and investment.

What changes

While not a change in itself, this data provides a refreshed, comprehensive historical baseline for understanding the evolution of a critical component in the compute supply chain.

Winners
  • · Semiconductor manufacturers
  • · Cloud providers
  • · Hardware-dependent industries
Losers
  • · N/A
Second-order effects
Direct

The article provides a robust dataset for analyzing the long-term deflationary trend of memory costs.

Second

This historical context can inform strategies for investment in advanced computing and AI infrastructure, where memory remains a significant cost factor.

Third

Consistent deflation in memory prices over decades fundamentally underpins the exponential growth of digital technologies and accessibility of computational power, enabling new applications.

Editorial confidence: 90 / 100 · Structural impact: 40 / 100
Original report

This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.

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