{"id":1836,"date":"2025-09-02T17:12:32","date_gmt":"2025-09-02T17:12:32","guid":{"rendered":"https:\/\/retrotradingreport.com\/index.php\/2025\/09\/02\/googles-tpu-business-seen-as-900b-opportunity-amid-growing-ai-demand\/"},"modified":"2025-09-02T17:12:32","modified_gmt":"2025-09-02T17:12:32","slug":"googles-tpu-business-seen-as-900b-opportunity-amid-growing-ai-demand","status":"publish","type":"post","link":"https:\/\/retrotradingreport.com\/index.php\/2025\/09\/02\/googles-tpu-business-seen-as-900b-opportunity-amid-growing-ai-demand\/","title":{"rendered":"Google\u2019s TPU business seen as $900B opportunity amid growing AI demand"},"content":{"rendered":"
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Alphabet Inc. may not often be mentioned in the same breath as Nvidia when it comes to semiconductors, but analysts at D.A. Davidson argue the Google parent company could be a formidable domestic rival in the artificial intelligence (AI) accelerator market. <\/p>\n

The firm suggests that Alphabet\u2019s growing tensor processing unit (TPU) business, combined with its DeepMind AI research arm, could be worth as much as $900 billion if spun off \u2014 a significant increase from the $717 billion valuation it had estimated earlier this year.<\/p>\n

TPUs gaining momentum in AI development<\/h2>\n

According to D.A. Davidson analysts led by Gil Luria, Google\u2019s custom-designed TPUs are attracting growing attention from researchers and engineers working at frontier AI labs. <\/p>\n

The firm noted \u201cpositive sentiment\u201d around these accelerators, which are purpose-built for machine learning and AI workloads.<\/p>\n

Google\u2019s sixth-generation Trillium TPUs, which were made widely available in December, are already in high demand. <\/p>\n

The upcoming seventh-generation Ironwood TPUs, designed specifically for large-scale inference \u2014 the process of running AI models after training \u2014 are expected to further accelerate adoption.<\/p>\n

Performance metrics highlight their appeal: TPUs can scale up to 42.5 exaflops and are benefitting from improvements in high-bandwidth memory capacity. <\/p>\n

Analysts also noted the cost efficiency of the chips, which is driving adoption beyond Google\u2019s internal infrastructure.<\/p>\n

Partnerships and competitive position<\/h2>\n

Alphabet has so far partnered exclusively with Broadcom Inc. for its TPU production. <\/p>\n

However, reports suggest the company is exploring a collaboration with Taiwan-based MediaTek Inc. for its Ironwood generation. <\/p>\n

Proximity to Taiwan Semiconductor Manufacturing Co., coupled with MediaTek\u2019s ability to provide chips at lower costs, is seen as a key motivation behind the potential shift.<\/p>\n

Meanwhile, notable AI firms are increasingly adopting TPUs. <\/p>\n

Startup Anthropic has been hiring TPU kernel engineers, signaling potential diversification away from Amazon Web Services\u2019 Trainium chips, despite AWS\u2019s $8 billion investment in the company. <\/p>\n

Elon Musk\u2019s xAI has also shown interest, driven by improvements in JAX-TPU tooling that make the ecosystem more accessible outside Google\u2019s internal environment. <\/p>\n

JAX, developed by Google, is a numerical-computing library in Python designed for high-performance applications.<\/p>\n

D.A. Davidson\u2019s data points to rising traction: developer activity around TPUs on Google Cloud grew nearly 96% between February and August, based on the firm\u2019s DaVinci Developer Dataset.<\/p>\n

Valuation and analyst outlook<\/h2>\n

Despite acknowledging Alphabet\u2019s underappreciated position in AI semiconductors, D.A. Davidson analysts remain cautious on the likelihood of a near-term spinoff. <\/p>\n

They argue that a \u201cbig-bang breakup\u201d of Google could unlock shareholder value, but view such a move as unlikely in the current environment.<\/p>\n

Absent a structural separation, Alphabet\u2019s TPU and DeepMind operations remain embedded within its broader portfolio, which analysts believe leaves the business \u201cwell-undervalued.\u201d <\/p>\n

Still, D.A. Davidson raised its price target on Google shares to $190 while maintaining a neutral rating.<\/p>\n

For now, Nvidia continues to dominate headlines and market share in AI hardware. <\/p>\n

But as demand for large-scale inference and cost-efficient accelerators grows, Alphabet\u2019s TPUs may represent a quietly emerging alternative for investors and AI developers alike.<\/p>\n

The post Google\u2019s TPU business seen as $900B opportunity amid growing AI demand<\/a> appeared first on Invezz<\/a><\/p>\n

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Alphabet Inc. may not often be mentioned in the same breath as Nvidia when it comes to semiconductors, but analysts at D.A. Davidson argue the Google parent company could be a formidable domestic rival in the artificial intelligence (AI) accelerator market. The firm suggests that Alphabet\u2019s growing tensor processing unit (TPU) business, combined with its…<\/p>\n","protected":false},"author":1,"featured_media":1837,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-investing"],"_links":{"self":[{"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/posts\/1836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/comments?post=1836"}],"version-history":[{"count":0,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/posts\/1836\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/media\/1837"}],"wp:attachment":[{"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/media?parent=1836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/categories?post=1836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/retrotradingreport.com\/index.php\/wp-json\/wp\/v2\/tags?post=1836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}