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Google eyes 2028 AI accelerator dominance, may tap Intel Foundry

An analyst report from Fubon Research suggests Google plans to produce 12-15 million TPU v9 AI accelerators by 2028, potentially exceeding Nvidia's projected shipments for that year. To meet this ambitious target, Google may need to leverage Intel Foundry's manufacturing capacity in addition to TSMC. This move would position Google as the largest consumer of AI accelerators and highlight the trend of cloud providers developing custom hardware. AI

IMPACT Could reshape the AI hardware landscape, emphasizing custom silicon and potentially increasing competition for Nvidia.

RANK_REASON Analyst report projecting significant shift in AI hardware manufacturing capacity and market share.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google eyes 2028 AI accelerator dominance, may tap Intel Foundry

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0 / 100
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Significant
Analyst report projecting significant shift in AI hardware manufacturing capacity and market share.
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
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infra, product
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High
Clearly on-topic for AI-industry coverage.
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57 days old
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COVERAGE [2]

  1. Tom's Hardware TIER_1 English(EN) · Anton Shilov ·

    Google could build more AI accelerators than Nvidia sells in 2028, analyst claims — could push the company to use Intel Foundry to meet its goals

    Google eyes to build more TPU AI accelerators in 2028 than Nvidia, if a report by Fubon Research is correct.

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google could build more AI accelerators than Nvidia sells in 2028, analyst claims — could push the company to use Intel Foundry to meet its goals Google eyes to

    Google could build more AI accelerators than Nvidia sells in 2028, analyst claims — could push the company to use Intel Foundry to meet its goals Google eyes to build more TPU AI accelerators in 2028 than Nvidia, if a report by Fubon Research is correct. https://www. tomshardware…