{"id":365216,"date":"2026-03-30T11:00:33","date_gmt":"2026-03-30T18:00:33","guid":{"rendered":"https:\/\/cms-articles.softonic.io\/es\/?p=414959"},"modified":"2026-03-30T11:01:19","modified_gmt":"2026-03-30T18:01:19","slug":"ram-prices-have-started-to-fall-and-the-blame-is-on-google-and-its-ai-optimization","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/ram-prices-have-started-to-fall-and-the-blame-is-on-google-and-its-ai-optimization\/","title":{"rendered":"RAM prices have started to fall, and the blame is on Google and its AI optimization"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Recently, <a href=\"https:\/\/en.softonic.com\/articles\/ram-prices-could-plummet-if-googles-advancements-in-ai-are-real\" title=\" Google Research presented a promising compression algorithm called TurboQuant\"> Google Research presented a promising compression algorithm called TurboQuant<\/a>, which promises to revolutionize the handling of working memory in artificial intelligence (AI) models, reducing its size by up to six times without sacrificing quality or performance.<\/p>\n\n\n<p class=\"wp-block-paragraph\">This compression technique focuses on the KV cache, a crucial component that stores the tokens processed during long conversations, and whose growth is one of the main bottlenecks in the AI inference phase.<\/p>\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">RAM Prices are going down for the first time in several months.<br><br>Google released a new algorithm that significantly reduces memory requirements for LLM AI models, meaning PCs may become more affordable due to AI companies needing less RAM. <a href=\"https:\/\/t.co\/JuzUJjzdet\">pic.twitter.com\/JuzUJjzdet<\/a><\/p>&mdash; Pubity (@pubity) <a href=\"https:\/\/twitter.com\/pubity\/status\/2038043465641021743?ref_src=twsrc%5Etfw\">March 29, 2026<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n<h2 class=\"wp-block-heading\">Memory prices drop as <a href=\"https:\/\/www.softonic.com\/articulos\/google-puede-destruir-a-nvidia-en-la-carrera-de-la-ia-gracias-a-su-arma-secreta\">TurboQuant redefines resource optimization in AI<\/a><\/h2>\n\n\n<p class=\"wp-block-paragraph\">In more technical terms, TurboQuant uses a vector quantization method, which could not only make it easier for data centers to operate with fewer hardware resources but could also significantly impact the DRAM and HBM memory manufacturing industry.<\/p>\n\n\n<p class=\"wp-block-paragraph\">Falls have already begun to be noticed in the stocks of companies like Micron and Samsung, which experienced a notable reduction in their value, hinting that the golden age of the memory industry may be coming to an end.<\/p>\n\n\n<p class=\"wp-block-paragraph\">The discovery has evoked comparisons with the so-called &#8220;DeepSeek moment&#8221; of Google, in which a Chinese startup launched a competitive AI model at a significantly lower development cost.<\/p>\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\">Google has just announced TurboQuant, a new AI algorithm that reduces memory usage for large language models by a factor of 6 and improves speed by up to 8 times via software.<br><br>As a result, RAM and memory chip stocks like Samsung, SK Hynix, and Micron have dropped hard. <a href=\"https:\/\/t.co\/KdfOTFFGsa\">pic.twitter.com\/KdfOTFFGsa<\/a><\/p>&mdash; Pirat_Nation \ud83d\udd34 (@Pirat_Nation) <a href=\"https:\/\/twitter.com\/Pirat_Nation\/status\/2037549071506796590?ref_src=twsrc%5Etfw\">March 27, 2026<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n<p class=\"wp-block-paragraph\">Before the official presentation of TurboQuant&#8217;s results, some analysts believe that this advancement could be a game changer in the sector, similar to what happened with DeepSeek.<\/p>\n\n\n<p class=\"wp-block-paragraph\"><strong>Despite its potential, it is important to note that TurboQuant only affects the inference phase<\/strong>. The training phase of AI models still requires large amounts of memory.<\/p>\n\n\n<p class=\"wp-block-paragraph\">The changes in memory module prices have begun to be evident, with a notable drop in the cost of products like Corsair Vengeance DDR5 modules. The race for resource optimization in AI is advancing, and it remains to be seen how companies will adapt to these new techniques and what implications they will have for the future.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recently, Google Research introduced a promising compression algorithm called TurboQuant, which promises to revolutionize the management of working memory in artificial intelligence (AI) models, reducing their size by up to six times without sacrificing quality or performance. This compression technique focuses on the KV cache, a crucial component that stores the tokens processed during long conversations, and whose growth is one of the main bottlenecks in the AI inference phase. Memory prices are decreasing as TurboQuant redefines resource optimization in AI In more technical terms, [&#8230;]<\/p>\n","protected":false},"author":9317,"featured_media":365217,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":0},"categories":[1015],"tags":[],"usertag":[],"vertical":[],"content-category":[6771],"class_list":["post-365216","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","content-category-ai"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"Recently, Google Research introduced a promising compression algorithm called TurboQuant, which promises to revolutionize the management of working memory in artificial intelligence (AI) models, reducing their size by up to six times without sacrificing quality or performance. 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