Google's TurboQuant slashes AI memory needs by 6x, sending memory chip stocks tumbling
19 Sources
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Can Google's AI Memory Compression Algorithm Help Solve the RAM Crisis?
Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of "working memory" an AI model requires by at least 6x. As TechCrunch reports, this "TurboQuant" algorithm is still a lab breakthrough rather than a technology that has been
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Memory-makers' shares are down. Don't blame Google
Chocolate Factory boffins have found a way to reduce AI's memory use, but don't assume that means less demand for DRAM The high cost of memory has sideswiped the technology industry, causing server vendors to admit their quotes are guesstimates and depressing sales of PCs and smartphones. Nobody
[3]
Memory Stock Boom Seen Resilient to Threat From New Google Tech
Shares of computer memory and storage products slumpedBloomberg Terminal on concerns over demand after Google researchers touted a new compression technique. But it may be a hiccup rather than an existential threat. SK Hynix Inc., a key maker of memory chips for artificial intelligence
[4]
You Can't Escape the AI Tax
Electronics are getting more expensive and worse. Blame the AI boom. Recently, a Costco in Florida instituted a new store policy. An employee told me that he was asked to open up every desktop computer displayed in the electronics section and remove the memory chips. Otherwise, the RAM harvesters
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Google TurboQuant breakthrough rattles memory chip stocks
Shares of memory hardware producers took a hit this week following Alphabet $GOOGL's announcement of a technology designed to drastically lower the working memory requirements for artificial intelligence models. South Korean markets saw Samsung drop by nearly 5 percent, and SK Hynix lost 6
[6]
Report claims OpenAI spending cuts have 'hit' memory prices but there's little evidence right now of cheaper PC components
The UK's Telegraph newspaper is claiming that "spending cuts at OpenAI have hit memory chip prices." That sounds like potentially good news on several levels. But does it stack up? As we reported, OpenAI shuttered its Sora video-generation tool last week. The AI outfit also cancelled a
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Google TurboQuant AI Compression Triggers Market Concerns Over DRAM Demand
Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a measurable impact on the semiconductor market. The technology is designed to reduce the memory footprint of AI models during inference, specifically targeting the Key-Value (KV)
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Google's TurboQuant cuts AI working memory by 6x, but it won't fix the global RAM shortage
TL;DR: Google developed three AI compression algorithms-TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss-that reduce large language models' KV cache memory by at least six times without losing accuracy, enabling efficient AI inference on consumer devices while potentially increasing
[9]
Google says its new algorithm reduces AI memory overhead by 6x which could be good news for the RAMpocalypse but bad news for Micron and co
Stock prices for the big three memory makers have already slid. Other than the AI bubble bursting or hype dying down, the other thing that could allow the RAMpocalypse to ease off is a technological change that leads to a dramatic reduction in how much memory AI needs. To that end, Google has
[10]
Is The RAM AI-pocalypse Finally Over? Probably Not
RAM manufacturers' stock prices are falling across the board this week, but it's too early to break out the celebratory post-AI-bubble-popping champagne It’s been a big week for AI haters. OpenAI’s video platform Sora shut down on March 24 (following a report that it was allegedly losing $1
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Micron Stock's Rally Looked Unstoppable -- Until Google's TurboQuant Hit - Amazon.com (NASDAQ:AMZN), Alphabet (NASDAQ:GOOGL)
For the past six sessions, that trade has been unraveling in a way the demand models did not anticipate. The proximate trigger was Alphabet Inc. (NASDAQ:GOOGL)'s announcement of TurboQuant on Tuesday, March 24 -- an AI memory compression algorithm that rattled the entire memory sector. Shares of
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Here Is The Unvarnished Truth About Google's TurboQuant: Jevons Paradox Prevails, Memory Crunch To Continue
Google's new algorithm that dramatically compresses KV cache in a lossless fashion, dubbed TurboQuant, is all the rage these days in the AI sphere, where doomsday predictions around an imminent collapse in the demand for memory abound. Never mind the fact that the underlying paper was released all
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TurboQuant Panic: Why Market Is Wrong About Google's Newest AI Breakthrough - Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL)
However, analysts pushed back on the bearish reaction, arguing the technology is more likely to expand AI use cases and ultimately drive higher long-term demand -- framing the pullback as a potential "buy the dip" opportunity for investors. TurboQuant Triggers Sharp Sell-Off in Memory
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Google's TurboQuant: Opportunity or crisis for memory semiconductor market?
Google's brick-and-mortar store in Chelsea, New York. (Reuters/Yonhap) Google's announcement of an artificial intelligence model that utilizes memory more efficiently jolted share prices for chipmakers like Samsung Electronics and SK Hynix that make memory. Shaky share prices are reflecting market
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Google's TurboQuant unlikely to weaken memory demand: analysts - The Korea Times
An introduction of Google's TurboQuant technology published on Google Research website / Captured from Google Research Google's announcement of TurboQuant is weighing on the share prices of memory companies, as the technology is expected to cut artificial intelligence (AI) models' memory usage to
[16]
TurboQuant And Why The Stock Market Reaction is Irrational
When Google's researchers quietly published details of their new TurboQuant compression technique this week, the reaction in semiconductor markets was swift and punishing. SK Hynix fell as much as 6.4% on the Korea Exchange. Kioxia dropped by the same margin in Tokyo. Micron and Sandisk slid in New
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Memory Stocks Slide As Google's New AI Efficiency Breakthrough May Slash Data Storage Needs - SanDisk (NASDAQ:SNDK)
Google Unveils TurboQuant Algorithm On Tuesday, Google researchers introduced "TurboQuant." This set of advanced quantization algorithms enables massive compression for large language models (LLMs). According to the Google blog, the technology "optimally addresses the challenge of memory overhead
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Samsung, SK Hynix slide as Google touts AI memory compression tech 'TurboQuant' By Investing.com
Investing.com-- Samsung Electronics and SK Hynix shares fell sharply on Thursday after Google researchers unveiled a new compression algorithm that could lower artificial intelligence demand for memory. Samsung (KS:005930) fell 4.8%, while SK Hynix Inc (KS:000660) slid 5.9%, with both stocks among
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MU, WDC, SNDK fall: Why Google's TurboQuant is rattling memory stocks By Investing.com
Investing.com -- Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled TurboQuant, a new compression algorithm that could reduce memory requirements for AI systems. SanDisk Corporation (NASDAQ:SNDK) fell 5.7%, Micron Technology
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Google unveiled TurboQuant, a memory compression algorithm that can reduce AI working memory requirements by at least 6x. The announcement triggered sharp declines in memory chip stocks, with SK Hynix falling 6% and Samsung dropping nearly 5%. But analysts warn the efficiency gains may paradoxically drive higher long-term demand for memory.
Google Unveils TurboQuant to Tackle AI Memory Demands
Google has introduced TurboQuant, a memory compression algorithm designed to dramatically reduce the working memory requirements for AI models during inferencing
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. According to researchers, the technology can reduce memory requirements by at least 6x while maintaining accuracy, potentially offering relief amid an industry-wide RAM crisis1
. The algorithm focuses its compression on the key-value cache, the area responsible for retaining historical calculations to bypass redundant processing, and maintains full performance on tasks including code generation, question answering, and text summarization5
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Source: Korea Times
Google describes TurboQuant as "a set of advanced, theoretically grounded quantization algorithms that enable massive compression for large language models and vector search engines"
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. The company plans to showcase the core components—PolarQuant and QJL, a novel method for training and optimization—at ICLR 2026 next month1
. Google expresses confidence the technology is ready for large-scale deployment, stating these methods "operate near theoretical lower bounds" and are "robust and trustworthy for critical, large-scale systems"1
.Memory Chip Stocks Decline Following Announcement
The TurboQuant announcement triggered immediate reactions in financial markets, with memory chip stocks experiencing sharp declines
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. SK Hynix fell as much as 6% on the Korea Exchange, while Samsung dropped nearly 5%5
. Kioxia Holdings Corp. declined 4.4% to nearly 6% in Tokyo, and Micron Technology and SanDisk experienced similar losses in New York trading3
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Source: CXOToday
Western Digital's share price fell 8.5% on Monday alone and is down 20.5% since March 19th, while SanDisk slid 7% on Monday and lost a fifth of its value in a fortnight
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. Micron Technology's stock has slumped in the dozen days since announcing enormous growth in revenue and profits2
. Cloudflare's head Matthew Prince compared the development to "Google's DeepSeek," referencing last year's industry-wide shockwaves from China's low-cost AI model5
.Analysts Predict Paradoxical Demand Increase
Despite initial market panic, analysts argue TurboQuant may actually increase demand for memory through a phenomenon known as Jevons Paradox
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. This 19th-century economic theory states that improved efficiency leads to increased consumption rather than decreased demand3
. JPMorgan Chase analysts noted that while investors may take profits on the news, there's no near-term threat to memory consumption3
.TrendForce, which specializes in the memory market, predicts TurboQuant will lower AI infrastructure costs and "spark massive long-sequence application demand, comprehensively driving structural growth and specification upgrades for high-bandwidth, main, and flash memory across cloud and edge platforms"
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. SemiAnalysis researcher Ray Wang told CNBC that alleviating technical constraints frequently paves the way for advanced models that ultimately demand increased hardware support, noting "when the model becomes more powerful, you require better hardware to support it"5
.Related Stories
The Ongoing RAM Crisis and AI Tax
The technology arrives amid what industry insiders call "RAMageddon," a generational shortage affecting practically every electronic gadget
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. From September to February, the price of a single 64GB RAM stick jumped from roughly $250 to more than $1,0004
. The AI boom has created this situation by giving memory-makers incentive to prioritize production of high-bandwidth and high-margin memory that GPUs require, reducing supply for other memory and sending prices soaring2
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Source: Bloomberg
This year, tech giants including Amazon, Alphabet, Meta, Microsoft, and Oracle are set to collectively spend half a trillion dollars on the AI build-out, with roughly a third spent on memory alone
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. Every major RAM manufacturer has shifted production lines to service AI data centers, with 70% of memory-chip products made globally destined for them4
. The demand has "cannibalized our conventional consumer-electronics supply," according to Yang Wang, an analyst at Counterpoint Research4
.Limited Near-Term Impact and Future Complications
While TurboQuant represents a significant advancement, it won't immediately solve the memory crisis
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. The technology is still a lab breakthrough rather than something trialed at scale or deployed in the real world, and deployment would take time while memory orders are already locked in for many months1
. The algorithm offers no relief for the massive RAM needed for AI model training, as it strictly compresses data during the inferencing stage5
.Additionally, helium shortages caused by war in the Persian Gulf have damaged the supply chain for semiconductor production, potentially preventing chipmakers from producing all the RAM they anticipated
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. Quilter Cheviot technology research lead Ben Barringer explained to CNBC that the recent stock drop likely results from shareholders cashing out after sustained growth, with TurboQuant "added to the pressure, but this is evolutionary, not revolutionary" and doesn't alter the industry's long-term demand picture5
. Analysts suggest that decreasing hardware barriers might actually accelerate localized AI projects, paradoxically driving up total long-term chip consumption and sustaining demand for memory despite compression advances5
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