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Large Language ModelsAI Business & IndustryDIGITIMES AsiaPublished: Aug 24, 2026, 10:00 JST1 min read

MediaTek: 1 million H100s mid-tier by 2030

MediaTek: 1 million H100s mid-tier by 2030

Key takeaway

  • MediaTek believes AI is moving to teams of agents.

  • By 2030, 1 million H100s will be mid-tier.

  • This signals massive compute growth.

3 Key Points

  1. What happened

    At DIGITIMES' AI on Chips forum, MediaTek senior director Bor-Sung Liang said AI development is shifting from individual large language models (LLMs) toward collaborative teams of AI agents with different roles.

  2. Why it matters

    Liang predicted that by 2030, a computing cluster with 1 million H100 GPUs will be considered mid-tier, reflecting the massive scale of compute expected in the AI race.

  3. What to watch

    The shift to multi-agent AI systems implies greater demand for specialized chips and infrastructure, potentially reshaping semiconductor industry priorities.

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Context & Analysis

The article reports on comments by MediaTek's Bor-Sung Liang at a DIGITIMES forum. He describes a transition in AI from single LLMs to systems of cooperating AI agents. This shift, if realized, would require vastly more computing power, as implied by his prediction that 1 million H100s would be considered mid-tier by 2030. Such a scale-up suggests significant implications for chip makers and data center operators, though the article does not provide further details on market impact or specific strategies.

FAQ

What did MediaTek's executive predict about AI compute by 2030?
He said a cluster with 1 million H100 GPUs will be mid-tier by 2030.
How is AI development shifting according to the article?
It is moving from individual large language models to collaborative teams of AI agents with different roles.
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