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Alphabet Just Crashed The Memory Trade: Sandisk Looks Like The Winner (Upgrade)

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⚡ Quantum Brief
Google’s TurboQuant algorithm slashed KV-cache memory demands by 6x for AI inference, triggering a sell-off in memory stocks like DRAM makers—but persistent SSD storage remains unaffected, preserving NAND demand. Sandisk’s NAND thesis stays intact as TurboQuant only optimizes volatile memory (HBM/DRAM), not long-term SSD storage, leaving its datacenter growth trajectory unaltered despite recent double-digit stock declines. Analysts maintain unchanged revenue and EPS forecasts for Sandisk through 2030, suggesting the drop stems from market overreaction to headlines rather than fundamental shifts in AI storage demand. Sandisk’s AI-driven datacenter revenue surged 64% sequentially and 76% YoY last quarter, yet still represents just 15% of total sales, signaling early-stage growth potential in high-margin enterprise storage. Near-term macro volatility may persist, but Sandisk could rebound in H2 2026 as investors pivot from DRAM to NAND, capitalizing on its dominant position in persistent AI storage infrastructure.
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Deep Value Investing11.86K FollowersFollow5ShareSavePlay(9min)Comments(6)SummaryTurboQuant cuts KV-cache needs by at least 6x for HBM/DRAM during AI inference, but it does not reduce persistent SSD storage demand. Therefore, Sandisk Corporation’s NAND thesis remains intact.The recent double-digit drop looks tied to headlines, risk-off trading, and memory industry beta, while the Street's revenue and EPS estimates for the next four years remain unchanged.I’m bullish as SNDK’s AI storage story still looks early, with datacenter revenue only 15% of total sales despite 64% sequential growth and 76% YOY growth in the last quarter.I expect near-term volatility from macro risks to persist, but I see SNDK stock retesting new highs in H2 this year as capital may rotate away from DRAM names. D-Keine/E+ via Getty Images Memory names, including Sandisk Corporation (SNDK), are being tested after Google highlighted a paper on TurboQuant, an algorithm that reduces KV-cache memory requirements by at least 6x in LLM inference workloads. As is often theThis article was written byDeep Value Investing11.86K FollowersFollowSmall deep value individual investor, with a modest private investment portfolio, split approx. 50%-50% between shares and call options. I have a B.Sc. in aeronautical engineering and over 6 years of experience as an engineering consultant in the aerospace sector. The latter statement is not relevant in any way whatsoever to my investment style, but I thought to add it for self-indulgent purposes. I have a contrarian investment style, highly risky, and often dealing with illiquid options. How illiquid? Well, you can land a Jumbo on the spread and still have clearance for take-off. From time to time, I buy shares, mostly to not be categorized as a degen by my fellow investor friends, therefore the 50%-50% allocation. My timeframe tends to be between 3-24 months.I like stocks that have experienced a recent sell-off due to non-recurrent events, particularly when insiders are buying shares at the new lower price. This is how I often screen through thousands of stocks, mainly in the US, although I may own shares in banana republics. I use fundamental analysis to check the health of companies that pass through my screening process, their leverage, and then compare their financial ratios with the sector, and industry median and average. I also do professional background checks of each insider who purchased shares after the recent sell-off. I use technical analysis to optimize the entry and exit points of my positions. I mainly use multicolor lines for support and resistance levels on weekly charts. From time to time I draw trend lines, taken for granted, in multicolor patterns. Note: I tried to keep my introduction as real, and authentic as possible. I dislike empty suits, high-level BS, deep-level BS, unnecessary jargon, and self-indulgent, third-person written introductions with an air of superiority.Thanks for reading my introduction!Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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