구글 TPU 공급망 인포그래픽

{
  "type": "wide futuristic tech industry infographic",
  "title": "[GOOGLE TPU ECOSYSTEM: VERTICAL INTEGRATION & CHALLENGING NVIDIA]",
  "style": "dark blue isometric vector infographic, glowing cyan circuit pathways, neon highlights, 3D chip and data-center icons, clean corporate technology presentation, high contrast white uppercase labels with subtle drop shadows, 16:9 landscape",
  "layout": {
    "background": "blue-gray gradient with faint circuitry, all nodes connected by luminous cyan data-flow lines",
    "main_flow": "a left-to-right ecosystem map showing Google's TPU supply chain from algorithms and ASIC design through fabrication, networking, system assembly, and AI model training",
    "discrete_labeled_sections_count": 8,
    "sections": [
      {
        "title": "GOOGLE BRAIN: ALGORITHMS",
        "position": "upper left",
        "visual": "glowing outline brain icon feeding a cyan stream into the ecosystem"
      },
      {
        "title": "DESIGN TRANSFORMERS: CUSTOM ASIC DESIGN",
        "position": "left middle",
        "count": 2,
        "labels": [
          "BROADCOM",
          "MEDIATEK"
        ],
        "visual": "two small chip-design workstation tables connected by arrows, Broadcom on the left and MediaTek on the right"
      },
      {
        "title": "HIGH-SPEED CONNECTIVITY",
        "position": "lower left",
        "visual": "circuit-board routing and glowing data links feeding into the central TPU package"
      },
      {
        "title": "PHYSICAL BUILDERS",
        "position": "top center",
        "count": 1,
        "labels": [
          "TSMC"
        ],
        "visual": "isometric semiconductor factory with a bright blue roof core, connected vertically to the central chip"
      },
      {
        "title": "FABRICATION & PACKAGING",
        "position": "bottom center",
        "count": 1,
        "labels": [
          "TSMC"
        ],
        "visual": "large central stacked TPU chip package on a circuit substrate, glowing cyan processor die, multilayer packaging blocks"
      },
      {
        "title": "NETWORK NERVOUS",
        "position": "upper center-right",
        "count": 1,
        "labels": [
          "ZHONGJI INNOLIGHT"
        ],
        "visual": "cluster of server towers connected by a luminous mesh network, data stream flowing downward"
      },
      {
        "title": "SYSTEM ASSEMBLY",
        "position": "right center",
        "count": 1,
        "labels": [
          "INVENTEC"
        ],
        "visual": "rack servers and a long assembly module connected to the main TPU flow"
      },
      {
        "title": "AI MODEL TRAINING (GEMINI)",
        "position": "lower right",
        "visual": "large glowing wireframe sphere with connected nodes representing AI training output"
      }
    ]
  },
  "comparison_panel": {
    "title": "CORE CONTRAST: TPU VS. GPU",
    "position": "upper right",
    "panel_style": "rounded rectangle card split vertically, cyan Google TPU side on left and purple Nvidia GPU side on right",
    "columns_count": 2,
    "columns": [
      {
        "heading": "GOOGLE TPU",
        "icon": "cyan processor icon",
        "points_count": 3,
        "points": [
          "PERFORMANCE EFFICIENCY (Watt/Perf)",
          "COST OPTIMIZATION",
          "VERTICAL INTEGRATION ADVANTAGE"
        ]
      },
      {
        "heading": "NVIDIA GPU",
        "icon": "purple chip icon labeled GPU",
        "points_count": 3,
        "points": [
          "POWERFUL CUDA ECOSYSTEM",
          "POWER & COST CHALLENGES",
          "VERTICAL INTEGRATION ADVANTAGE shown as a central arrow contrast marker"
        ]
      }
    ]
  },
  "visual_elements": {
    "company_labels_count": 5,
    "company_labels": [
      "BROADCOM",
      "MEDIATEK",
      "TSMC",
      "ZHONGJI INNOLIGHT",
      "INVENTEC"
    ],
    "major_icons_count": 9,
    "major_icons": [
      "brain",
      "two ASIC design workstations",
      "semiconductor factory",
      "central packaged TPU chip",
      "network server mesh",
      "assembly rack servers",
      "comparison card",
      "GPU chip",
      "AI training globe"
    ]
  },
  "customization": "Keep all text legible and in English, preserve the exact uppercase labels, use a polished financial research infographic look suitable for explaining the TPU industry chain. Emphasize [vertical integration and challenging NVIDIA] with bright cyan data paths and a premium technology aesthetic."
}