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ASUS changes mind, will continue selling the RTX 5070 Ti after all

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ASUS changes mind, will continue selling the RTX 5070 Ti after all

ASUS has retracted a prior remark that the GeForce RTX 5070 Ti and RTX 5060 Ti 16 GB were being placed into end-of-life, confirming both models remain in production and will continue to be sold. The company said temporary availability constraints stem from memory supply shortages and AI-driven memory demand that have pushed up prices, with some resellers reporting lack of inventory through at least Q1. While the clarification avoids a formal product retirement, persistent memory cost and supply volatility could restrict units sold or force higher retail prices, with potential short-term downside to consumer demand and margin visibility for GPU vendors.

Analysis

Market structure: Memory suppliers (Micron MU, Samsung 005930.KS, SK Hynix 000660.KS) and GPU fab/allocator Nvidia (NVDA) gain pricing power as AI-driven memory demand reallocates wafers; ASUS (2357.TW) and retail channels (BBY, specialty gaming) face inventory-driven revenue volatility and margin pressure. Supply/demand reads as tight DRAM/NAND and constrained mid/high‑tier GPU SKUs—expect ASPs to be 5–20% higher versus pre‑AI seasonal norms over the next 3–12 months if spot memory prices persist. Risk assessment: Tail risks include a) rapid memory capex reacceleration that floods the market within 12–24 months, b) new export controls or tariff shifts disrupting Asian supply chains, and c) a consumer demand shock pushing GPU inventory through channels; immediate (0–3 months) risk is retail stockouts, short term (3–12 months) is sustained ASP inflation, long term (12–36 months) is cyclical oversupply. Hidden dependency: distributor allocation algorithms that prioritize hyperscalers can keep consumer SKUs scarce even if OEM manufacturing rises. Trade implications: Direct: favor semiconductor/memory exposure (MU) over consumer hardware (DELL, BBY, 2357.TW) for 3–12 months; implement volatility-aware option structures on MU to express memory-price upside while capping premium. Pair trades: long MU vs short DELL/BBY to capture margin divergence; rotate into NVDA selectively for data‑center exposure only after pullbacks >10%. Contrarian angle: The market underestimates that AI demand could permanently re-price memory cycles (multi-quarter tightness), meaning semiconductor equities are likely underowned; conversely, negative sentiment around gamers may overstate OEM structural decline—cloud gaming and data‑center GPU leasing (benefiting AMZN, GOOGL, MSFT) are second-order winners that can amplify NVDA upside.