{"id":44094,"date":"2025-12-03T11:45:45","date_gmt":"2025-12-03T03:45:45","guid":{"rendered":"https:\/\/www.phillipnova.com.sg\/?post_type=market_trends&#038;p=44094"},"modified":"2025-12-03T12:22:55","modified_gmt":"2025-12-03T04:22:55","slug":"what-are-tpu-chips-and-why-theyre-putting-pressure-on-nvidia","status":"publish","type":"market_trends","link":"https:\/\/www.phillipnova.com.sg\/cn\/market_trends\/what-are-tpu-chips-and-why-theyre-putting-pressure-on-nvidia\/","title":{"rendered":"What Are TPU Chips \u2013 and Why They\u2019re Putting Pressure on Nvidia?"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"44094\" class=\"elementor elementor-44094\" data-elementor-post-type=\"market_trends\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"ob-is-breaking-bad elementor-section elementor-top-section elementor-element elementor-element-7b54cd3f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7b54cd3f\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ob_bbad_use_it&quot;:&quot;yes&quot;,&quot;_ob_bbad_sssic_use&quot;:&quot;no&quot;,&quot;_ob_glider_is_slider&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4c0d3224\" data-id=\"4c0d3224\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;_ob_bbad_is_stalker&quot;:&quot;no&quot;,&quot;_ob_teleporter_use&quot;:false,&quot;_ob_column_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_column_has_pseudo&quot;:&quot;no&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7259275f ob-harakiri-inherit ob-has-background-overlay elementor-widget elementor-widget-text-editor\" data-id=\"7259275f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_ob_use_harakiri&quot;:&quot;yes&quot;,&quot;_ob_harakiri_writing_mode&quot;:&quot;inherit&quot;,&quot;_ob_postman_use&quot;:&quot;no&quot;,&quot;_ob_perspektive_use&quot;:&quot;no&quot;,&quot;_ob_poopart_use&quot;:&quot;yes&quot;,&quot;_ob_shadough_use&quot;:&quot;no&quot;,&quot;_ob_allow_hoveranimator&quot;:&quot;no&quot;,&quot;_ob_widget_stalker_use&quot;:&quot;no&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-size: 14pt;\"><\/span><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-44097\" src=\"https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025.png\" alt=\"\" width=\"1670\" height=\"847\" srcset=\"https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025.png 1670w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025-300x152.png 300w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025-1024x519.png 1024w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025-768x390.png 768w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025-1536x779.png 1536w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/NVDA-3-Dec-2025-18x9.png 18w\" sizes=\"(max-width: 1670px) 100vw, 1670px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>The escalating rivalry in the Artificial Intelligence (AI) chip market has intensified following reports that <strong>\u5143 <\/strong>is in advanced talks to spend billions on<strong> Google\u2019s (NSDQ: GOOG)<\/strong> AI chips, a move that challenges the long-held market dominance of <strong>Nvidia (NSDQ:NVDA).<\/strong><\/p>\n<p>\u00a0<\/p>\n<p>A potential deal with Meta, one of the world&#8217;s largest spenders on AI infrastructure, would signal major momentum for Google\u2019s <strong>Tensor Processing Units (TPUs)<\/strong> and validate the search giant\u2019s case as a serious rival to Nvidia in AI technology.<\/p>\n<p>\u00a0<\/p>\n<p><strong>The Emergence of Google&#8217;s TPU as a Contender<\/strong><\/p>\n<p>For as long as Nvidia has dominated the AI chip space, customers have sought competition. The formidable alternative has emerged from Google: the TPU.<\/p>\n<p>\u00a0<\/p>\n<ul>\n<li><strong>TPU vs. GPU:<\/strong> Unlike Nvidia\u2019s general-purpose Graphics Processing Units (GPUs) \u2013 originally designed to render video game images and prized for their adaptability across various workloads \u2013 TPUs are highly specialized. TPUs are a type of specialized product known as Application-Specific Integrated Circuits (ASICs), built for a discrete purpose.<br \/><br \/><\/li>\n<li><strong>Specialized Efficiency:<\/strong> TPUs were built specifically for <strong>matrix multiplication<\/strong>, the main operation involved in training neural networks for large language models (LLMs). This specialization allows them to be less power-hungry and more efficient when running these specific operations compared to the more flexible but costlier-to-operate Nvidia GPUs.<br \/><br \/><\/li>\n<li><strong>The Ironwood Chip:<\/strong> Google\u2019s latest version, the <strong>Ironwood Tensor Processing Unit<\/strong>, was introduced in April 2025 and is designed for running AI inference workloads (using the models, rather than training them).<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>Google\u2019s strategy has benefited from its in-house AI development; as the company and its DeepMind unit developed cutting-edge models like Gemini, they could customize the chips to benefit their AI teams.<\/p>\n<p>\u00a0<\/p>\n<p><strong>Market and Corporate Reactions<\/strong><\/p>\n<p>The news of a potential Meta-Google partnership has shifted investor sentiment, putting pressure on Nvidia\u2019s stock while boosting Alphabet\u2019s valuation.<\/p>\n<p>\u00a0<\/p>\n<ul>\n<li><strong>The Meta Deal:<\/strong> Meta is in discussions to use the TPUs in its data centers starting in <strong>2027<\/strong> and may rent chips from Google&#8217;s cloud division as early as next year.<br \/><br \/><\/li>\n<li><strong>Stock Impact:<\/strong> Nvidia\u2019s shares were <strong>down about 4%<\/strong> in premarket trading on the news. The stock has faced a &#8220;tricky November,&#8221; dropping <strong>10% over the past month<\/strong> (as of 17 November) amid worries about high AI valuations and the mounting threat from Google. In contrast, <strong>Alphabet Inc.<\/strong> is benefiting from the market validation, with its shares soaring and the company on track to hit a <strong>$4 trillion market valuation<\/strong> for the first time.<br \/><br \/><\/li>\n<li><strong>Anthropic Validation:<\/strong> The momentum for TPUs was already growing after Google agreed in October to supply up to <strong>1 million chips to Anthropic PBC<\/strong>, a deal an analyst called a &#8220;really powerful validation&#8221; for TPUs.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p><strong>Analyst Consensus and Nvidia&#8217;s Outlook<\/strong><\/p>\n<p>Despite the competitive headwinds, Wall Street remains largely confident in Nvidia&#8217;s future.<\/p>\n<p>\u00a0<\/p>\n<ul>\n<li><strong>Strong Analyst Support:<\/strong> The majority of analysts covering the stock remain bullish. According to data on Bloomberg, <strong>74 of the 80 analysts<\/strong> covering Nvidia rate it a <strong>Buy<\/strong>, with a consensus price target of <strong>$253<\/strong>.<br \/><br \/><\/li>\n<li><strong>Continued Demand:<\/strong> Mizuho analyst Vijay Rakesh noted that demand for Nvidia\u2019s GPUs still looks &#8220;rock solid&#8221;. The next-generation <strong>Blackwell chip is reported to be sold out<\/strong>, and CEO Jensen Huang is targeting <strong>half-a-trillion dollars in revenue in 2026<\/strong>.<br \/><br \/><\/li>\n<li><strong>The Long View:<\/strong> Analysts believe that no company, including Google, is currently looking to replace Nvidia GPUs entirely. Nvidia&#8217;s market position is cemented by the versatility of its GPU platform, which is &#8220;better suited to handle a wider range of workloads&#8221; if a customer&#8217;s AI algorithm or model changes. Even Anthropic, a major TPU customer, announced a &#8220;big deal&#8221; with Nvidia just weeks after its Google TPU tie-up.<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>Ultimately, the best hope for Google\u2019s TPUs may be to establish themselves as a crucial part of the product range required to power the exponential growth of AI, rather than a full replacement for Nvidia&#8217;s dominance.<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p class=\"font-size-18\"><strong data-start=\"2585\" data-end=\"2631\"><a href=\"https:\/\/accountopening.phillipnova.com.sg\/?aeCode=6XMUlTbER79lVtwyHFiM9DaaIp2NDm&amp;source=StocksPosts&amp;utm_source=Market%20Trends&amp;utm_medium=Link&amp;utm_campaign=Stocks&amp;utm_content=PFSG\"><img decoding=\"async\" class=\"alignnone wp-image-44096 size-full\" src=\"https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628.jpg\" alt=\"\" width=\"1200\" height=\"628\" srcset=\"https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628.jpg 1200w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628-300x157.jpg 300w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628-1024x536.jpg 1024w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628-768x402.jpg 768w, https:\/\/www.phillipnova.com.sg\/wp-content\/uploads\/2025\/12\/PhillipNova_USStocks_1200x628-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><br \/><\/strong><\/p>\n<p class=\"font-size-18\"><strong>Trade AI related and other US stocks on Phillip Nova 2.0 now!<\/strong>\u00a0<a href=\"https:\/\/accountopening.phillipnova.com.sg\/?aeCode=6XMUlTbER79lVtwyHFiM9DaaIp2NDm&amp;source=StocksPosts&amp;utm_source=Market%20Trends&amp;utm_medium=Link&amp;utm_campaign=Stocks&amp;utm_content=PFSG\">Click here to open an account now!<\/a><\/p>\n<p data-start=\"2585\" data-end=\"2809\">\u00a0<\/p>\n\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Trade CFDs, ETFs, Forex, Futures, Options, Precious Metals, and Stocks&nbsp;on NOVA<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Features of trading on NOVA<\/h4>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u8bbf\u95ee 20 \u591a\u4e2a\u5168\u7403\u4ea4\u6613\u6240 <\/strong><br>\u4ece 20 \u591a\u4e2a\u5168\u7403\u4ea4\u6613\u6240\u7684 200 \u591a\u4e2a\u5168\u7403\u671f\u8d27\u4e2d\u6355\u6349\u673a\u4f1a<br><\/li>\n\n\n\n<li><strong>\u5168\u7403\u80a1\u7968\u7684\u4ea4\u6613\u673a\u4f1a<\/strong><br>Over 11,000 Stocks and ETFs across Singapore, US, China, Hong Kong, Malaysia and Japan markets.<br><\/li>\n\n\n\n<li><strong>Charting Powered by TradingView<\/strong><br>View live charts and gain access to over 100 technical indicators<br><\/li>\n\n\n\n<li><strong>True Multi-Asset Trading<\/strong><br>Trade CFDs, ETFs, Forex, Futures, Options, Precious Metals and Stocks on a single ledger on NOVA<br><\/li>\n\n\n\n<li><strong>USD &amp; SGD Shares Margin Rate at Only 4.5% p.a<\/strong><br><\/li>\n\n\n\n<li><strong>Fractional Shares from US$1<\/strong><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>Start investing in fractional shares from US$1 notional value, at US$0.38 commission per order.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div style=\"height:65px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-text-color has-background wp-element-button\" href=\"https:\/\/demo.phillipnova.com.sg\/?utm_content=PFSG&amp;culture=zh-CN\" style=\"border-radius:4px;color:#fffffa;background-color:#fba64d\">Free NOVA Demo Account<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link has-text-color wp-element-button\" href=\"https:\/\/www.phillipnova.com.sg\/cn\/open-an-account\/\" style=\"border-radius:4px;color:#fba64d\">\u5feb\u901f\u5b89\u5168\u7684\u5728\u7ebf\u5f00\u6237<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Nvidia\u2019s Strategic Double Moat: How It Stays Ahead in AI<\/p>","protected":false},"featured_media":44105,"template":"","class_list":["post-44094","market_trends","type-market_trends","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Are TPU Chips \u2013 and Why They\u2019re Putting Pressure on Nvidia? - Phillip Nova - Bringing global markets closer to you<\/title>\n<meta name=\"description\" content=\"Is Nvidia\u2019s strategic moat still intact? 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