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Omdia: Demand for Google's TPU chips accelerates challenging NVIDIA's dominance

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Google's Tensor Processing Unit (TPU) AI chips are experiencing rapid growth in demand, potentially challenging NVIDIA's GPU market dominance. According to Omdia's research, based on Broadcom's Semiconductor Solutions division data, Google's TPU purchases could range between $6 billion to $9 billion this year. Broadcom, which serves as a custom chip outsourcing partner for Google, Meta, and other AI players, has revised its AI semiconductor revenue target to $12 billion for the year.

The growth in TPU shipments appears significant enough to potentially reduce NVIDIA's market share for the first time. Google Cloud Platform's increasing revenue share and improving profitability might indicate that TPU-accelerated instances and AI products are driving this growth, particularly given that accelerator instance types are high-margin products.

I chip AI Tensor Processing Unit (TPU) di Google stanno vivendo una rapida crescita nella domanda, potenzialmente sfidando il dominio di mercato delle GPU di NVIDIA. Secondo la ricerca di Omdia, basata sui dati della divisione Semiconductor Solutions di Broadcom, gli acquisti di TPU da parte di Google potrebbero variare tra 6 miliardi e 9 miliardi di dollari quest'anno. Broadcom, che funge da partner esterno per chip personalizzati per Google, Meta e altri attori nel settore AI, ha rivisto il suo obiettivo di fatturato per i semiconduttori AI a 12 miliardi di dollari per l'anno.

La crescita nella spedizione di TPU sembra essere sufficientemente significativa da poter ridurre la quota di mercato di NVIDIA per la prima volta. L'aumento della quota di fatturato della Google Cloud Platform e il miglioramento della redditività potrebbero indicare che le istanze accelerate da TPU e i prodotti AI stanno guidando questa crescita, soprattutto considerando che i tipi di istanze di accelerazione sono prodotti ad alta margine.

Los chips de AI Tensor Processing Unit (TPU) de Google están experimentando un rápido crecimiento en la demanda, desafiando potencialmente el dominio del mercado de GPU de NVIDIA. Según la investigación de Omdia, basada en los datos de la división Semiconductor Solutions de Broadcom, las compras de TPU por parte de Google podrían oscilar entre 6 mil millones y 9 mil millones de dólares este año. Broadcom, que actúa como socio de externalización de chips personalizados para Google, Meta y otros jugadores de AI, ha revisado su objetivo de ingresos por semiconductores de AI a 12 mil millones de dólares para el año.

El crecimiento en los envíos de TPU parece ser lo suficientemente significativo como para reducir la cuota de mercado de NVIDIA por primera vez. El aumento de la cuota de ingresos de Google Cloud Platform y la mejora de la rentabilidad podrían indicar que las instancias aceleradas por TPU y los productos de AI están impulsando este crecimiento, especialmente dado que los tipos de instancias de aceleración son productos de alto margen.

구글의 텐서 프로세싱 유닛(TPU) AI 칩은 수요가 급증하고 있으며, 이는 잠재적으로 NVIDIA의 GPU 시장 지배에 도전할 수 있습니다. Omdia의 연구에 따르면 Broadcom의 반도체 솔루션 부서 데이터를 기반으로, 구글의 TPU 구매는 올해 60억에서 90억 달러에 이를 수 있습니다. 구글, 메타 및 기타 AI 관련 기업들의 맞춤형 칩 아웃소싱 파트너인 Broadcom은 올해 AI 반도체 수익 목표를 120억 달러로 수정했습니다.

TPU 출하량의 성장은 NVIDIA의 시장 점유율을 처음으로 줄일 만큼 중요해 보입니다. Google Cloud Platform의 수익 비율 증가와 수익성 개선은 TPU 가속 인스턴스와 AI 제품이 이 성장을 이끌고 있음을 시사할 수 있는데, 이는 특히 가속기 인스턴스 유형이 고마진 제품이기 때문입니다.

Les puces AI Tensor Processing Unit (TPU) de Google connaissent une forte croissance de la demande, ce qui pourrait challenger la domination du marché GPU de NVIDIA. Selon les recherches d'Omdia, basées sur les données de la division des solutions de semi-conducteurs de Broadcom, les achats de TPU par Google pourraient s'élever entre 6 milliards et 9 milliards de dollars cette année. Broadcom, partenaire d'externalisation de puces personnalisées pour Google, Meta et d'autres acteurs de l'IA, a révisé son objectif de revenus pour les semi-conducteurs d'IA à 12 milliards de dollars pour l'année.

La croissance des expéditions de TPU semble suffisamment significative pour potentiellement réduire la part de marché de NVIDIA pour la première fois. La part de revenu croissante de la Google Cloud Platform et l'amélioration de la rentabilité pourraient indiquer que les instances accélérées par TPU et les produits AI alimentent cette croissance, notamment en raison du fait que les types d'instances d'accélérateur sont des produits à forte marge.

Die Tensor Processing Unit (TPU) AI-Chips von Google erleben ein rapides Wachstum in der Nachfrage, was potenziell die Marktführerschaft von NVIDIA bei GPUs herausfordern könnte. Laut der Forschung von Omdia, die auf Daten der Semiconductor Solutions-Abteilung von Broadcom basiert, könnten Googles TPU-Einkäufe in diesem Jahr zwischen 6 Milliarden und 9 Milliarden Dollar liegen. Broadcom, der als Partner für kundenspezifische Chip-Outsourcing für Google, Meta und andere AI-Akteure fungiert, hat seine Umsatzprognose für AI-Halbleiter auf 12 Milliarden Dollar für das Jahr korrigiert.

Das Wachstum der TPU-Lieferungen scheint signifikant genug zu sein, um möglicherweise den Marktanteil von NVIDIA zum ersten Mal zu verringern. Der steigende Umsatzanteil und die verbesserte Rentabilität der Google Cloud Platform könnten darauf hindeuten, dass TPU-beschleunigte Instanzen und AI-Produkte dieses Wachstum vorantreiben, insbesondere da Typen von Beschleunigungsinstanzen Produkte mit hohen Margen sind.

Positive
  • TPU shipments estimated at $6-9 billion, indicating strong market penetration
  • Google Cloud Platform showing revenue growth and improved profitability
  • High-margin TPU-accelerated instance types driving cloud business growth
Negative
  • None.

Insights

The surge in Google's TPU demand represents a significant shift in the AI chip market landscape. At $6-9 billion in estimated revenue through Broadcom's semiconductor division, this indicates substantial market penetration. The TPU growth trajectory could mark the first meaningful challenge to NVIDIA's AI chip dominance, particularly in cloud computing applications.

Broadcom's repeated upward revisions of AI semiconductor revenue targets to $12 billion reflect robust demand and potential supply constraints. Google Cloud's improving profitability metrics, coupled with its growing revenue share, suggest strong commercial validation of TPU technology. This development could reshape competitive dynamics in the AI chip market, potentially leading to price pressures and accelerated innovation cycles.

This development has significant implications for multiple players in the semiconductor space. For NVIDIA, while their market position remains strong, the emergence of viable competition could impact their pricing power and margins in the AI chip segment. For Broadcom, the expanding AI chip business represents a major growth driver, with the potential for sustained high-margin revenue streams from multiple major tech clients.

Google's vertical integration strategy in AI infrastructure could translate to improved cost efficiency and margins for their cloud services. With a third major client expected to join in 2025, Broadcom's semiconductor solutions division is positioned for continued growth. Investors should monitor market share dynamics and margin trends in the coming quarters as competition intensifies.

LONDON, Dec. 18, 2024 /PRNewswire/ -- Omdia's latest research highlights the rapid growth in demand for Google's Tensor Processing Unit (TPU) AI chips, a trend that may be strong enough to start chipping away at NVIDIA's market dominance in GPUs. 3Q results from Broadcom, whose Semiconductor Solutions division acts as a custom chip outsourcing partner for Google, Meta, and several other AI players, give our analysts some insight into purchasing trends and information that is typically kept under wraps – how many custom processors is Google buying?

Broadcom's CEO Hock Tan has repeatedly revised up his target for AI semiconductor revenue, aiming for $12bn for this year. Based on this, it is estimated that Google's TPUs could account for somewhere between $6bn – close to Omdia's existing estimates - and $9bn, depending on the breakdown between compute and networking devices. This figure includes a substantial number of Meta's MTIA chips, with a project for a mysterious third client expected to ramp up in 2025.

Alexander Harrowell, Principal Analyst at Omdia noted: "Even though there is some uncertainty in the exact ratio between compute and networking devices, shipments of TPUs, even at the lower $6bn estimate, are growing at a pace fast enough to take share from NVIDIA for the first time. It's worth noting that Google's Cloud Platform business continues to grow as a share of Google's revenue while improving profitability. This could indicate that TPU-accelerated instance types or AI products running on TPUs are driving the growth at Google Cloud, especially as accelerator instance types are high-margin products."

ABOUT OMDIA
Omdia, part of Informa TechTarget, Inc. (Nasdaq: TTGT), is a technology research and advisory group. Our deep knowledge of tech markets combined with our actionable insights empower organizations to make smart growth decisions.

Contact
Fasiha Khan: fasiha.khan@omdia.com

 

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SOURCE Omdia

FAQ

What is the estimated value of Google's TPU chip purchases in 2024?

According to Omdia's research, Google's TPU purchases are estimated to be between $6 billion and $9 billion in 2024, based on Broadcom's semiconductor revenue targets.

How are Google's TPU chips affecting NVIDIA's market dominance?

The rapid growth in TPU shipments is significant enough to potentially reduce NVIDIA's market share for the first time, challenging their GPU market dominance.

What is Broadcom's AI semiconductor revenue target for 2024?

Broadcom's CEO Hock Tan has set an AI semiconductor revenue target of $12 billion for 2024.

How are TPUs contributing to Google Cloud Platform's growth?

TPU-accelerated instance types and AI products running on TPUs are driving growth at Google Cloud Platform, with these high-margin products contributing to improved profitability.

TechTarget, Inc.

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