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      <title>Chaos and Order</title>
      <link>https://www.youngju.dev/blog</link>
      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Sat, 16 May 2026 00:00:00 GMT</lastBuildDate>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive.en</guid>
    <title>AI Hardware Accelerators 2026 — NVIDIA Blackwell / AMD Instinct MI400 / Google TPU Trillium / Cerebras WSE-3 / Groq LPU / Tenstorrent / Etched Sohu / Furiosa / Rebellions Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive.en</link>
    <description>In 2026 AI hardware is no longer an NVIDIA-only story. Blackwell (B100/B200/GB200 NVL72/B300) landed at GTC 2024, Rubin is queued for September 2026, AMD Instinct has marched from MI300X through MI355X to MI400 Helios, Intel Gaudi 3 ships as the last standalone line while Falcon Shores absorption looms, and Apple is set to unveil the AC1 server chip alongside M5 / M5 Pro in spring 2026. Google TPU v5p and Trillium (v5/v6) drive Gemini training, Cerebras WSE-3 packs 4 trillion transistors on a single wafer, Groq LPU rules sequential inference latency, SambaNova SN40L brings Reconfigurable Dataflow, Tenstorrent under Jim Keller bets on a RISC-V open architecture, and Etched Sohu (announced June 2024) is the first transformer-only ASIC. AWS Trainium 2 and Inferentia 3 anchor the in-house era, MatX and Tachyum Prodigy chase from behind, and phone NPUs from Apple A18 Pro, Snapdragon 8 Gen 4, MediaTek Dimensity 9400 and Google Tensor G5 push inference fully on-device. With NVLink 5/6, PCIe Gen 6/7, CXL, HBM3E/HBM4 and liquid cooling, this is the full 2026 landscape — seen through Korean (FuriosaAI, Rebellions) and Japanese (SoftBank Graphcore, Preferred Networks MN-3, Rapidus 2nm) lenses.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-hardware</category><category>gpu</category><category>accelerator</category><category>nvidia-blackwell</category><category>b100</category><category>b200</category><category>gb200</category><category>b300</category><category>rubin</category><category>amd-instinct</category><category>mi300x</category><category>mi325x</category><category>mi355x</category><category>mi400-helios</category><category>intel-gaudi-3</category><category>falcon-shores</category><category>apple-m5</category><category>apple-ac1</category><category>google-tpu</category><category>trillium</category><category>cerebras-wse-3</category><category>groq-lpu</category><category>sambanova-sn40l</category><category>tenstorrent</category><category>wormhole</category><category>blackhole</category><category>etched-sohu</category><category>trainium-2</category><category>inferentia-3</category><category>matx</category><category>tachyum</category><category>a18-pro</category><category>snapdragon-8-gen-4</category><category>dimensity-9400</category><category>tensor-g5</category><category>hbm3e</category><category>hbm4</category><category>nvlink</category><category>cxl</category><category>samsung-hynix-hbm</category><category>furiosa-ai</category><category>rebellions-sapeon</category><category>graphcore-softbank</category><category>preferred-networks-mn-3</category><category>rapidus</category><category>2026</category><category>deep-dive</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive.ja</guid>
    <title>AI ハードウェアアクセラレータ 2026 — NVIDIA Blackwell / AMD Instinct MI400 / Google TPU Trillium / Cerebras WSE-3 / Groq LPU / Tenstorrent / Etched Sohu / Furiosa / Rebellions 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive.ja</link>
    <description>2026 年の AI ハードウェアはもはや NVIDIA 一社の物語ではない。Blackwell (B100/B200/GB200 NVL72/B300) が GTC 2024 で登場し、Rubin が 2026 年 9 月に控えるなか、AMD Instinct は MI300X から MI355X を経て MI400 Helios まで進撃した。Intel Gaudi 3 が最後の独立ラインとして出荷され、Falcon Shores の統合がささやかれ、Apple は M5 / M5 Pro とともに AC1 サーバチップを 2026 年春に投入する。Google TPU は v5p と Trillium (v5/v6) で Gemini の学習を支え、Cerebras WSE-3 は 4 兆トランジスタのウェハースケール、Groq LPU は逐次推論の速度、SambaNova SN40L は Reconfigurable Dataflow、Tenstorrent は Jim Keller 率いる RISC-V オープンアーキテクチャを掲げた。Etched Sohu は transformer 専用 ASIC を 2024 年 6 月に公開、AWS Trainium 2 と Inferentia 3 は自社チップ時代を開き、MatX と Tachyum Prodigy のような新興が続く。スマートフォン NPU 陣営の Apple A18 Pro、Snapdragon 8 Gen 4、MediaTek Dimensity 9400、Google Tensor G5 まで — NVLink 5/6、PCIe Gen 6/7、CXL、HBM3E/HBM4、そして液冷データセンタの風景を韓国 (FuriosaAI、Rebellions) と日本 (SoftBank Graphcore、Preferred Networks MN-3、Rapidus 2nm) の視点で総合的にまとめる。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-hardware</category><category>gpu</category><category>accelerator</category><category>nvidia-blackwell</category><category>b100</category><category>b200</category><category>gb200</category><category>b300</category><category>rubin</category><category>amd-instinct</category><category>mi300x</category><category>mi325x</category><category>mi355x</category><category>mi400-helios</category><category>intel-gaudi-3</category><category>falcon-shores</category><category>apple-m5</category><category>apple-ac1</category><category>google-tpu</category><category>trillium</category><category>cerebras-wse-3</category><category>groq-lpu</category><category>sambanova-sn40l</category><category>tenstorrent</category><category>wormhole</category><category>blackhole</category><category>etched-sohu</category><category>trainium-2</category><category>inferentia-3</category><category>matx</category><category>tachyum</category><category>a18-pro</category><category>snapdragon-8-gen-4</category><category>dimensity-9400</category><category>tensor-g5</category><category>hbm3e</category><category>hbm4</category><category>nvlink</category><category>cxl</category><category>samsung-hynix-hbm</category><category>furiosa-ai</category><category>rebellions-sapeon</category><category>graphcore-softbank</category><category>preferred-networks-mn-3</category><category>rapidus</category><category>2026</category><category>deep-dive</category><category>日本語</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive</guid>
    <title>AI 하드웨어 가속기 2026 — NVIDIA Blackwell / AMD Instinct MI400 / Google TPU Trillium / Cerebras WSE-3 / Groq LPU / Tenstorrent / Etched Sohu / Furiosa / Rebellions 심층 가이드</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-ai-hardware-accelerators-2026-nvidia-blackwell-amd-instinct-mi-google-tpu-trillium-cerebras-wse-3-groq-lpu-sambanova-tenstorrent-etched-sohu-furiosa-rebellions-deep-dive</link>
    <description>2026년 AI 하드웨어는 더 이상 NVIDIA 한 곳의 이야기가 아니다. Blackwell(B100/B200/GB200 NVL72/B300)이 GTC 2024에서 등장하고, 2026년 9월 Rubin이 예고된 가운데 AMD Instinct는 MI300X에서 MI355X를 거쳐 MI400 Helios까지 진격했다. Intel Gaudi 3가 마지막 별도 라인으로 출하되고 Falcon Shores 합류가 루머링되며, Apple은 M5/M5 Pro와 함께 AC1 서버 칩을 2026년 봄에 띄운다. Google TPU는 v5p와 Trillium(v5/v6)으로 Gemini 학습을 지탱하고, Cerebras WSE-3는 4조 트랜지스터의 웨이퍼 스케일을, Groq LPU는 순차 추론 속도를, SambaNova SN40L은 Reconfigurable Dataflow를, Tenstorrent는 Jim Keller가 이끄는 RISC-V 오픈 아키텍처를 들고 나왔다. Etched Sohu는 transformer 전용 ASIC을 2024년 6월에 공개했고, AWS Trainium 2와 Inferentia 3는 자체 칩 시대를 열었으며, MatX와 Tachyum Prodigy 같은 신예가 뒤따른다. 폰 NPU 진영의 Apple A18 Pro, Snapdragon 8 Gen 4, MediaTek Dimensity 9400, Google Tensor G5까지 — NVLink 5/6, PCIe Gen 6/7, CXL, HBM3E/HBM4, 그리고 액체 냉각 데이터센터의 풍경을 한국(FuriosaAI, Rebellions)과 일본(SoftBank Graphcore, Preferred Networks MN-3, Rapidus 2nm)의 시각에서 종합 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-hardware</category><category>gpu</category><category>accelerator</category><category>nvidia-blackwell</category><category>b100</category><category>b200</category><category>gb200</category><category>b300</category><category>rubin</category><category>amd-instinct</category><category>mi300x</category><category>mi325x</category><category>mi355x</category><category>mi400-helios</category><category>intel-gaudi-3</category><category>falcon-shores</category><category>apple-m5</category><category>apple-ac1</category><category>google-tpu</category><category>trillium</category><category>cerebras-wse-3</category><category>groq-lpu</category><category>sambanova-sn40l</category><category>tenstorrent</category><category>wormhole</category><category>blackhole</category><category>etched-sohu</category><category>trainium-2</category><category>inferentia-3</category><category>matx</category><category>tachyum</category><category>a18-pro</category><category>snapdragon-8-gen-4</category><category>dimensity-9400</category><category>tensor-g5</category><category>hbm3e</category><category>hbm4</category><category>nvlink</category><category>cxl</category><category>samsung-hynix-hbm</category><category>furiosa-ai</category><category>rebellions-sapeon</category><category>graphcore-softbank</category><category>preferred-networks-mn-3</category><category>rapidus</category><category>2026</category><category>deep-dive</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive.en</guid>
    <title>Cross-Chain Interoperability 2026 Complete Guide - BIFROST · LayerZero v2 · Wormhole · Axelar · Cosmos IBC · Polkadot XCM · Chainlink CCIP · Hyperlane Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive.en</link>
    <description>Since 2020, $2.8B has evaporated from bridges. In May 2026 cross-chain is no longer multisig lock-and-mint. BIFROST Networks Korea-style cross-chain DeFi, Polkadot XCM with shared security, Cosmos IBC plus ICS, LayerZero v2 DVN architecture, the Wormhole guardian set, Axelar GMP, Hyperlane permissionless ISMs, Chainlinks CCIP Risk Management Network, EigenLayer AVS, and intent protocols — all in one deep dive.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>cross-chain</category><category>bifrost</category><category>layerzero</category><category>wormhole</category><category>axelar</category><category>cosmos</category><category>ibc</category><category>polkadot</category><category>xcm</category><category>chainlink-ccip</category><category>hyperlane</category><category>bridge-security</category><category>defi</category><category>modular-blockchain</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive.ja</guid>
    <title>クロスチェーン相互運用性 2026 完全ガイド - BIFROST · LayerZero v2 · Wormhole · Axelar · Cosmos IBC · Polkadot XCM · Chainlink CCIP · Hyperlane 徹底解説</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive.ja</link>
    <description>2020年以降、ブリッジから28億ドルが消えた。2026年5月のクロスチェーンはもはやマルチシグのロック&amp;ミントではない。BIFROST Networkの韓国発クロスチェーンDeFi、Polkadot XCMと共有セキュリティ、Cosmos IBCとICS、LayerZero v2のDVNアーキテクチャ、Wormholeのガーディアンセット、Axelar GMP、Hyperlane permissionless ISM、Chainlink CCIPのRisk Management Network、EigenLayer AVSとインテントプロトコルまで一本で深掘りする。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>cross-chain</category><category>bifrost</category><category>layerzero</category><category>wormhole</category><category>axelar</category><category>cosmos</category><category>ibc</category><category>polkadot</category><category>xcm</category><category>chainlink-ccip</category><category>hyperlane</category><category>bridge-security</category><category>defi</category><category>modular-blockchain</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive</guid>
    <title>크로스체인 인터오퍼러빌리티 2026 완벽 가이드 - BIFROST · LayerZero v2 · Wormhole · Axelar · Cosmos IBC · Polkadot XCM · Chainlink CCIP · Hyperlane 심층 분석</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-cross-chain-bifrost-layerzero-wormhole-axelar-cosmos-ibc-polkadot-xcm-ccip-2026-deep-dive</link>
    <description>2020년 이후 브리지에서 28억 달러가 증발했다. 2026년 5월의 크로스체인은 더 이상 멀티시그 락-앤-민트가 아니다. BIFROST Network의 한국형 크로스체인 DeFi, Polkadot XCM과 공유 보안, Cosmos IBC + ICS, LayerZero v2의 DVN 아키텍처, Wormhole 가디언 셋, Axelar GMP, Hyperlane permissionless ISM, Chainlink CCIP의 Risk Management Network, 그리고 EigenLayer AVS와 인텐트 프로토콜까지 한 글에서 깊이 정리한다.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>cross-chain</category><category>bifrost</category><category>layerzero</category><category>wormhole</category><category>axelar</category><category>cosmos</category><category>ibc</category><category>polkadot</category><category>xcm</category><category>chainlink-ccip</category><category>hyperlane</category><category>bridge-security</category><category>defi</category><category>modular-blockchain</category>
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