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390TB video game archive being taken offline due to skyrocketing RAM, SSD, and hard drive prices — AI-driven supply squeeze results in closure of one of the largest online video game archives

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390TB video game archive being taken offline due to skyrocketing RAM, SSD, and hard drive prices — AI-driven supply squeeze results in closure of one of the largest online video game archives

Myrient, a roughly 390TB online video game archive, will shut down on March 31, 2026 after the operator said donations failed to cover hosting costs and they have been paying more than $6,000 per month out of pocket. The closure is attributed to rising RAM/SSD/HDD prices driven by AI datacenter demand plus abusive third‑party download managers monetizing content; users have until the end of March to download data, highlighting how AI-driven hardware shortages can materially raise operating costs for small digital preservation services.

Analysis

Market structure: AI-driven hyperscaler capex is tightening DRAM/NAND/HDD supply and redistributing pricing power to component suppliers and large colocation/hyperscale customers. Expect OEMs and memory vendors (Micron MU, Samsung, SK Hynix) and HDD vendors (WDC, STX) to see 10–30% revenue/ASP tailwinds over the next 6–12 months while small, donation-funded hosts and niche archives face margin collapse — Hetzner’s announced 37% price hike is an immediate example of pass-through. Content custodians (archives) are losers; cloud cold‑storage (AMZN S3 Glacier, GOOGL Coldline) and large CDNs gain demand as decentralized/DIY hosting becomes uneconomic. Risk assessment: Key tails — (1) a capex pullback at hyperscalers could reverse price pressure within 3–9 months; (2) large fab ramps or inventory destocking could create 20–40% downside for memory prices over 12–24 months; (3) geopolitical export controls or supply-chain shocks could spike prices further. Hidden dependencies include controller IC shortages, helium drive production bottlenecks and abusive third‑party downloader ecosystems that undermine monetization of long‑tail content; monitor DRAM/NAND spot indices and ASML/LRCX order books as primary catalysts. Trade implications: Favor overweight in semiconductor memory and storage hardware: tactical 2–3% long positions in MU and WDC with 6–12 month horizons; use 6–12 month call spreads 15–25% OTM to limit premium. Hedge with 1–2% short exposure to weaker colocation/smaller data‑center REITs (e.g., QTS) via put spreads (3–6 month) targeting 10–25% downside if spreads/warnings widen. Add a 1–2% long in AMZN or GOOGL to capture archival migration to cloud; trim if DRAM/NAND spot prices fall >15% month‑over‑month. Contrarian angle: The market overstates AI as sole driver of price moves and understates migration to commercial cloud archive solutions — that favors large cloud providers and well‑capitalized REITs (EQIX, DLR) over grassroots preservation sites. Risk of overshoot: if memory suppliers announce aggressive capex, mean reversion could create a squeeze for long-only positions; implement clear stop triggers (e.g., unwind memory longs on a 15% slide in DRAM spots or 20% share decline). Historical parallels: 2016 NAND cycle — short‑term windfall for suppliers followed by a 12–18 month correction once fabs ramped.