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      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
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    <title>The 2026 AI Accelerator Landscape — From Blackwell to Vera Rubin</title>
    <link>https://www.youngju.dev/blog/gpu-cuda/2026-06-16-ai-accelerator-landscape-2026.en</link>
    <description>A developer-oriented map of the 2026 AI accelerator market. We cover NVIDIA Blackwell and the next-generation Vera Rubin, AMD MI350X, the moment inference capex first overtook training, and how to choose a chip per workload.</description>
    <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
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    <title>2026年のAIアクセラレータ地形 — BlackwellからVera Rubinまで</title>
    <link>https://www.youngju.dev/blog/gpu-cuda/2026-06-16-ai-accelerator-landscape-2026.ja</link>
    <description>2026年のAIアクセラレータ市場を開発者目線で整理します。NVIDIA Blackwellと次世代Vera Rubin、AMD MI350X、推論capexが学習を初めて上回った変化、そしてワークロードごとにどのチップを選ぶべきかを見ていきます。</description>
    <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
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    <title>2026 AI 가속기 지형 — Blackwell에서 Vera Rubin까지</title>
    <link>https://www.youngju.dev/blog/gpu-cuda/2026-06-16-ai-accelerator-landscape-2026</link>
    <description>2026년 AI 가속기 시장을 한눈에 정리합니다. NVIDIA Blackwell과 차세대 Vera Rubin, AMD MI350X, 추론 capex가 학습을 처음 추월한 변화, 그리고 워크로드별로 어떤 칩을 골라야 하는지 개발자 관점에서 살펴봅니다.</description>
    <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-hardware</category><category>nvidia-blackwell</category><category>vera-rubin</category><category>inference</category><category>gpu</category><category>accelerator</category><category>data-center</category>
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