{"id":230551,"date":"2026-04-02T17:44:00","date_gmt":"2026-04-02T21:44:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/04\/02\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing\/"},"modified":"2026-04-02T18:05:55","modified_gmt":"2026-04-02T22:05:55","slug":"google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/04\/02\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing\/","title":{"rendered":"Google Research talks compression technology it says will greatly reduce memory needed for AI processing"},"content":{"rendered":"<p><a href=\"https:\/\/www.networkworld.com\/article\/4154034\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing.html\">Google Research talks compression technology it says will greatly reduce memory needed for AI processing<\/a><\/p>\n<p><a href=\"https:\/\/www.networkworld.com\/article\/4154034\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing.html\">https:\/\/www.networkworld.com\/article\/4154034\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing.html<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-04-02 17:44:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.networkworld.com\">www.networkworld.com<\/a><\/p>\n<p>The last time the market witnessed a shakeup like this was China\u2019s DeepSeek, but doubts emerged quickly about its efficacy. Developers found DeepSeek\u2019s efficiency gains required deep architectural decisions that had to be built in from the start. TurboQuant requires no retraining or fine-tuning. You just drop it straight into existing inference pipelines, at least in theory.<\/p>\n<p>If it works in production systems with no retrofitting, then data center operators will get tremendous performance gains on existing hardware. Data center operators won\u2019t have to throw hardware at the performance problem.<\/p>\n<p>However, analysts urge caution before jumping to conclusions. \u201cThis is a research breakthrough, not a shipping product,\u201d said Alex Cordovil, research director for physical infrastructure at The Dell\u2019Oro Group. \u201cThere\u2019s often a meaningful gap between a published paper and real-world inference workloads.\u201d<\/p>\n<p>Also, Dell\u2019Oro\u2019s base case remains that efficiency gains in AI compute tend to get consumed by more demand, known as the Jevons paradox. \u201cAny freed-up capacity would likely be absorbed by frontier models expanding their capabilities rather than reducing their hardware footprint.\u201d<\/p>\n<p>Jim Handy, president of Objective Analysis, agrees on that second part. \u201cHyperscalers won\u2019t cut their spending \u2013 they\u2019ll just spend the same amount and get more bang for their buck,\u201d he said. \u201cData centers aren\u2019t looking to reach a certain performance level and subsequently stop spending on AI.\u00a0 They\u2019re looking to out-spend each other to gain market dominance.\u00a0 This won\u2019t change that.\u201d<\/p>\n<p>Google plans to present a paper outlining TurboQuant at the ICLR conference in Rio de Janeiro running from April 23 through April 27.<\/p>\n<p><a href=\"https:\/\/www.networkworld.com\/article\/4154034\/google-research-talks-compression-technology-it-says-will-greatly-reduce-memory-needed-for-ai-processing.html\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google Research talks compression technology it says will greatly reduce memory needed for AI processing&#8230;<\/p>\n","protected":false},"author":1,"featured_media":230552,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.networkworld.com\/wp-content\/uploads\/2026\/04\/4154034-0-10364500-1775166220-RAM-memory-stick-module-exposed-and-sitting-on-a-circuit-board.webp?w=1024","fifu_image_alt":"","footnotes":""},"categories":[8],"tags":[],"class_list":["post-230551","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/230551"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=230551"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/230551\/revisions"}],"predecessor-version":[{"id":230553,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/230551\/revisions\/230553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/230552"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=230551"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=230551"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=230551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}