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    {
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      "start": 6.08,
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      "start": 10.64,
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      "text": "費用消耗其實非常快。",
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    {
      "id": 6,
      "start": 15.0,
      "end": 17.74,
      "text": "現在開源模型都已經做到這種程度了，",
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    {
      "id": 7,
      "start": 17.94,
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      "text": "那我乾脆把模型放在自己的電腦裡面跑，不就好了？",
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    {
      "id": 8,
      "start": 21.62,
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      "text": "語言模型現在有千問、",
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    {
      "id": 9,
      "start": 23.195,
      "end": 24.52,
      "text": "Gemma 這些選擇，",
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    {
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      "start": 24.76,
      "end": 28.16,
      "text": "圖片跟影片也有越來越多模型可以自己部署。",
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    {
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      "start": 28.38,
      "end": 31.14,
      "text": "而且 Agent 又會一直反覆呼叫模型，",
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    {
      "id": 12,
      "start": 31.42,
      "end": 32.92,
      "text": "在這樣的消耗底下，",
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    {
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      "start": 32.98,
      "end": 35.02,
      "text": "還不如本地的模型來去使用，",
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      "start": 35.3,
      "end": 37.16,
      "text": "結果真的開始研究之後，",
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    {
      "id": 15,
      "start": 37.26,
      "end": 40.28,
      "text": "我第一個卡住的地方根本不是模型怎麼裝。",
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      "timing_uncertain": false
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    {
      "id": 16,
      "start": 40.64,
      "end": 42.84,
      "text": "而是：我要買什麼電腦？",
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    },
    {
      "id": 17,
      "start": 43.06,
      "end": 45.84,
      "text": "這件事情比我原本想像中麻煩很多。",
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      "timing_uncertain": false
    },
    {
      "id": 18,
      "start": 46.16,
      "end": 48.824,
      "text": "你開始查就會看到有人推四零九零、",
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      "timing_uncertain": false
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    {
      "id": 19,
      "start": 48.84,
      "end": 50.868,
      "text": "有人說直接買五零九零，",
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    {
      "id": 20,
      "start": 50.88,
      "end": 54.12,
      "text": "有人覺得 AMD 同樣價格可以拿到更多記憶體，",
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      "timing_uncertain": false
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    {
      "id": 21,
      "start": 54.36,
      "end": 56.42,
      "text": "也有人說 Mac 的 Unified Memory",
      "source": "source_caption",
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    {
      "id": 22,
      "start": 56.42,
      "end": 57.88,
      "text": "才適合跑大模型。",
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    {
      "id": 23,
      "start": 58.18,
      "end": 59.873,
      "text": "如果你本來就不是硬體玩家，",
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      "timing_uncertain": false
    },
    {
      "id": 24,
      "start": 59.873,
      "end": 62.54,
      "text": "看完這些東西其實只會更亂。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 25,
      "start": 62.66,
      "end": 65.8,
      "text": "但我後來真的開始看不同模型怎麼跑之後，",
      "source": "source_caption",
      "timing_uncertain": false
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    {
      "id": 26,
      "start": 65.9,
      "end": 67.24,
      "text": "反而發現一件事情：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 27,
      "start": 67.68,
      "end": 70.28,
      "text": "如果今天是為了本地 AI 買電腦，",
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      "timing_uncertain": false
    },
    {
      "id": 28,
      "start": 70.46,
      "end": 72.9,
      "text": "新手其實不用先研究顯卡型號。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 29,
      "start": 73.16,
      "end": 75.44,
      "text": "因為第一個真正會卡住你的東西，",
      "source": "source_caption",
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    },
    {
      "id": 30,
      "start": 75.54,
      "end": 78.8,
      "text": "通常不是這張卡快不快是你的模型到",
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      "timing_uncertain": false
    },
    {
      "id": 31,
      "start": 78.8,
      "end": 80.06,
      "text": "底裝不裝得進去。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 32,
      "start": 80.48,
      "end": 81.92,
      "text": "而這裡第一個要看的，",
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      "timing_uncertain": false
    },
    {
      "id": 33,
      "start": 81.92,
      "end": 83.203,
      "text": "就是 VRAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 34,
      "start": 83.328,
      "end": 86.52,
      "text": "VRAM 簡單來說就是顯示卡自己的記憶體。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 35,
      "start": 86.74,
      "end": 89.98,
      "text": "這跟我們平常買遊戲電腦的思考方式有一點不一樣。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 36,
      "start": 90.4,
      "end": 91.92,
      "text": "像玩遊戲的時候，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 37,
      "start": 91.94,
      "end": 94.88,
      "text": "我們很常先看這張卡 FPS 多高、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 38,
      "start": 95.06,
      "end": 96.3,
      "text": "新一代快了多少。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 39,
      "start": 96.48,
      "end": 98.68,
      "text": "但是 AI 第一關會比較直接。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 40,
      "start": 99.0,
      "end": 101.5,
      "text": "假設今天一個模型跟整套 workflow",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 41,
      "start": 101.5,
      "end": 104.155,
      "text": "需要的記憶體已經超過你的 VRAM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 42,
      "start": 104.18,
      "end": 105.82,
      "text": "那這張卡算力再強，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 43,
      "start": 105.94,
      "end": 107.86,
      "text": "你還是得開始做各種妥協。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 44,
      "start": 108.08,
      "end": 109.94,
      "text": "可能把模型量化得更小、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 45,
      "start": 110.0,
      "end": 112.04,
      "text": "把一部分東西丟到系統 RAM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 46,
      "start": 112.22,
      "end": 114.46,
      "text": "或者乾脆只能換小一點的模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 47,
      "start": 114.76,
      "end": 116.54,
      "text": "等於你用太小的 VRAM 時，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 48,
      "start": 116.66,
      "end": 119.42,
      "text": "你的限制就會越多所以我現在覺得，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 49,
      "start": 119.42,
      "end": 122.48,
      "text": "買本地 AI 電腦第一個問題根本不是：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 50,
      "start": 122.7,
      "end": 124.98,
      "text": "「4090 還是 5090？」",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 51,
      "start": 125.14,
      "end": 128.175,
      "text": "而是：「我到底需要多少 VRAM？」",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 52,
      "start": 128.2,
      "end": 129.56,
      "text": "這個問題先確定，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 53,
      "start": 129.74,
      "end": 131.24,
      "text": "後面其實簡單很多。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 54,
      "start": 131.605,
      "end": 134.14,
      "text": "但這裡也很容易出現另外一種誤會。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 55,
      "start": 134.34,
      "end": 136.68,
      "text": "不是說今天一定要 24GB，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 56,
      "start": 136.94,
      "end": 139.62,
      "text": "低於 24GB 就完全不能跑 AI。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 57,
      "start": 139.96,
      "end": 144.36,
      "text": "如果你只是想跑比較小的語言模型，8GB、12GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 58,
      "start": 144.46,
      "end": 147.04,
      "text": "16GB 其實都有很多東西可以玩。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 59,
      "start": 147.04,
      "end": 149.66,
      "text": "甚至現在各種量化做得很好，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 60,
      "start": 149.68,
      "end": 153.06,
      "text": "一些原本很大的模型也可以壓到一般電腦上。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 61,
      "start": 153.26,
      "end": 155.84,
      "text": "問題是你今天想做的事情有多廣。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 62,
      "start": 156.26,
      "end": 158.7,
      "text": "如果我只想在本地跑聊天模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 63,
      "start": 158.9,
      "end": 160.52,
      "text": "需求其實沒有這麼誇張。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 64,
      "start": 160.84,
      "end": 162.04,
      "text": "但如果跟我一樣，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 65,
      "start": 162.28,
      "end": 164.54,
      "text": "我希望這台機器除了語言模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 66,
      "start": 164.64,
      "end": 165.86,
      "text": "還要跑 Coding Agent、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 67,
      "start": 166.14,
      "end": 167.56,
      "text": "圖片、ComfyUI，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 68,
      "start": 167.78,
      "end": 169.56,
      "text": "甚至連影片模型都想碰，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 69,
      "start": 169.78,
      "end": 171.88,
      "text": "那需求就會開始完全不一樣。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 70,
      "start": 172.2,
      "end": 173.32,
      "text": "以我自己來說，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 71,
      "start": 173.44,
      "end": 177.6,
      "text": "我會把 24GB 左右當成比較實際的全用途起點。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 72,
      "start": 177.6,
      "end": 180.3,
      "text": "不是因為 24GB 有什麼魔法。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 73,
      "start": 180.62,
      "end": 181.92,
      "text": "而是從這裡開始，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 74,
      "start": 182.16,
      "end": 184.64,
      "text": "你會比較少遇到「模型明明可以跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 75,
      "start": 184.66,
      "end": 185.98,
      "text": "但是為了塞進去，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 76,
      "start": 186.08,
      "end": 187.98,
      "text": "每一個 workflow 都要重新折",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 77,
      "start": 187.98,
      "end": 189.4,
      "text": "騰一次」這種狀況。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 78,
      "start": 189.86,
      "end": 193.44,
      "text": "像 3090、4090 都是 24GB，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 79,
      "start": 193.68,
      "end": 196.58,
      "text": "而現在 5090 已經來到 32GB。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 80,
      "start": 196.82,
      "end": 201.02,
      "text": "對 AI 來說，5090 多出來的 8GB 有時候比單純",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 81,
      "start": 201.02,
      "end": 202.22,
      "text": "效能提升還有感。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 82,
      "start": 202.22,
      "end": 205.82,
      "text": "因為它可能直接讓原本卡在邊界的模型或",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 83,
      "start": 205.82,
      "end": 207.9,
      "text": "更長的 Context 放得進去。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 84,
      "start": 208.08,
      "end": 209.88,
      "text": "所以這也是為什麼我覺得，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 85,
      "start": 210.04,
      "end": 212.68,
      "text": "本地 AI 看顯卡不能只看快多少，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 86,
      "start": 212.86,
      "end": 215.14,
      "text": "重要是能不能運行需要的模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 87,
      "start": 215.4,
      "end": 218.42,
      "text": "這時，記憶體容量就是你能不能運行這類",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 88,
      "start": 218.42,
      "end": 219.74,
      "text": "模型的第一個關鍵。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 89,
      "start": 220.096,
      "end": 222.62,
      "text": "這件事情到了影片模型會更明顯。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 90,
      "start": 222.82,
      "end": 225.12,
      "text": "因為一個影片 workflow 很多時候",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 91,
      "start": 225.12,
      "end": 226.68,
      "text": "不只有主要生成模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 92,
      "start": 226.68,
      "end": 228.88,
      "text": "你可能還有 Text Encoder、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 93,
      "start": 229.04,
      "end": 230.28,
      "text": "VAE、LoRA，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 94,
      "start": 230.52,
      "end": 232.09,
      "text": "甚至其他前後處理。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 95,
      "start": 232.09,
      "end": 236.12,
      "text": "像 Wan 2.2 官方自己的 720p 單卡推理範例，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 96,
      "start": 236.28,
      "end": 240.353,
      "text": "就直接把 24GB VRAM 當成可以執行的級距。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 97,
      "start": 240.4,
      "end": 244.3,
      "text": "但這也不是代表所有影片模型一定需要 24GB。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 98,
      "start": 244.64,
      "end": 246.72,
      "text": "現在很多模型透過量化、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 99,
      "start": 246.8,
      "end": 247.92,
      "text": "CPU offload，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 100,
      "start": 248.08,
      "end": 249.9,
      "text": "甚至社群特別做的版本，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 101,
      "start": 250.1,
      "end": 252.26,
      "text": "16GB 一樣可以硬塞進去。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 102,
      "start": 252.52,
      "end": 255.48,
      "text": "像 MiniMax H3 現在甚至已經有人",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 103,
      "start": 255.48,
      "end": 256.96,
      "text": "把消費級 16GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 104,
      "start": 257.14,
      "end": 259.28,
      "text": "24GB 的部署方式做出來。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 105,
      "start": 259.6,
      "end": 263.26,
      "text": "所以我覺得這裡真正要理解的不是某個固定數字。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 106,
      "start": 263.54,
      "end": 267.06,
      "text": "而是：能跑，跟跑得舒服，是兩件事情。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 107,
      "start": 267.48,
      "end": 270.58,
      "text": "16GB 可能透過很多優化真的跑成功。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 108,
      "start": 270.82,
      "end": 273.24,
      "text": "但是如果我今天每天都要用它工作，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 109,
      "start": 273.4,
      "end": 276.44,
      "text": "每一個新模型都要研究半天怎麼省 VRAM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 110,
      "start": 276.44,
      "end": 279.62,
      "text": "那我自己就不會把這個叫做很舒服的配置。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 111,
      "start": 279.64,
      "end": 283.18,
      "text": "Wan 2.2 官方的 720p TI2V",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 112,
      "start": 283.26,
      "end": 286.213,
      "text": "範例就是至少 24GB VRAM；",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 113,
      "start": 286.213,
      "end": 288.49,
      "text": "MiniMax H3 官方原始部署",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 114,
      "start": 288.49,
      "end": 290.18,
      "text": "甚至以多 GPU 為主，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 115,
      "start": 290.46,
      "end": 291.92,
      "text": "消費卡之所以能跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 116,
      "start": 291.98,
      "end": 295.26,
      "text": "很多是後來靠量化與 offload 把門檻壓下來。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 117,
      "start": 295.52,
      "end": 296.58,
      "text": "更重要的是，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 118,
      "start": 296.68,
      "end": 300.24,
      "text": "像是量化模型通常會有犧牲掉的品質或者能力，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 119,
      "start": 300.52,
      "end": 304.265,
      "text": "這未必是一件好事所以如果有人跟你說：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 120,
      "start": 304.265,
      "end": 307.58,
      "text": "「我 16GB 就什麼都能跑。」他不一定錯。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 121,
      "start": 307.78,
      "end": 309.1,
      "text": "但你要先問的是：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 122,
      "start": 309.21,
      "end": 310.48,
      "text": "他到底怎麼跑？",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 123,
      "start": 310.54,
      "end": 311.2,
      "text": "跑多快？",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 124,
      "start": 311.46,
      "end": 313.44,
      "text": "為了跑起來犧牲了多少東西？",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 125,
      "start": 313.74,
      "end": 316.52,
      "text": "這比單純看到「成功運行」重要很多。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 126,
      "start": 316.949,
      "end": 319.02,
      "text": "那等到 VRAM 大概確定之後，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 127,
      "start": 319.12,
      "end": 320.36,
      "text": "我第二個會看的，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 128,
      "start": 320.38,
      "end": 323.76,
      "text": "才是這張卡後面的軟體生態這也是為什麼",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 129,
      "start": 323.76,
      "end": 325.74,
      "text": "如果今天是一個完全的新手，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 130,
      "start": 325.88,
      "end": 328.0,
      "text": "要我推薦一條比較少踩坑的路，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 131,
      "start": 328.0,
      "end": 330.517,
      "text": "我現在還是會比較偏 NVIDIA。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 132,
      "start": 330.517,
      "end": 332.8,
      "text": "原因不是 AMD 的卡不能跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 133,
      "start": 332.92,
      "end": 335.6,
      "text": "而是 NVIDIA 有一套叫做 CUDA 的東西。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 134,
      "start": 335.8,
      "end": 337.52,
      "text": "你可以先把它理解成：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 135,
      "start": 337.56,
      "end": 340.16,
      "text": "很多 AI 軟體跟顯示卡溝通時，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 136,
      "start": 340.24,
      "end": 341.64,
      "text": "最常用的一套環境。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 137,
      "start": 341.96,
      "end": 345.58,
      "text": "現在很多 AI 工具、新模型，尤其圖片、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 138,
      "start": 345.66,
      "end": 349.04,
      "text": "影片這一類，開發者第一個測試的通常就是",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 139,
      "start": 349.04,
      "end": 350.28,
      "text": "NVIDIA 加 CUDA。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 140,
      "start": 350.52,
      "end": 352.4,
      "text": "所以你實際使用的時候，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 141,
      "start": 352.5,
      "end": 354.0,
      "text": "差別不一定只是速度。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 142,
      "start": 354.0,
      "end": 355.6,
      "text": "而是同一個模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 143,
      "start": 355.82,
      "end": 359.08,
      "text": "別人用 NVIDIA 可能照教學裝一裝就可以跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 144,
      "start": 359.26,
      "end": 360.62,
      "text": "你換成別的平台，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 145,
      "start": 360.82,
      "end": 362.88,
      "text": "有時候還要自己處理相容性、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 146,
      "start": 362.96,
      "end": 365.66,
      "text": "版本，甚至某些功能根本還沒支援。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 147,
      "start": 365.96,
      "end": 369.4,
      "text": "這個差距在單純跑語言模型時可能沒那麼明顯，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 148,
      "start": 369.6,
      "end": 372.6,
      "text": "但開始碰 ComfyUI、圖片、影片，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 149,
      "start": 372.96,
      "end": 374.34,
      "text": "尤其剛出的新模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 150,
      "start": 374.34,
      "end": 375.48,
      "text": "就會比較有感。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 151,
      "start": 375.76,
      "end": 378.6,
      "text": "所以我覺得 NVIDIA 很大一部分的優勢，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 152,
      "start": 378.68,
      "end": 380.16,
      "text": "其實不是顯卡本身，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 153,
      "start": 380.4,
      "end": 382.6,
      "text": "而是它後面那整套 CUDA 生態。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 154,
      "start": 382.96,
      "end": 385.32,
      "text": "至於 AMD 當然不是不能用。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 155,
      "start": 385.44,
      "end": 387.48,
      "text": "AMD 也有自己對應的環境，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 156,
      "start": 387.5,
      "end": 390.8,
      "text": "叫 ROCm，現在支援已經比以前完整很多，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 157,
      "start": 391.0,
      "end": 393.14,
      "text": "很多主流 AI 工具也都能跑。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 158,
      "start": 393.36,
      "end": 395.08,
      "text": "只是如果今天是新手，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 159,
      "start": 395.22,
      "end": 398.58,
      "text": "我會比較建議你先確認自己固定要用哪些模型、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 160,
      "start": 398.68,
      "end": 401.48,
      "text": "哪些工具，再決定要不要選 AMD。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 161,
      "start": 401.76,
      "end": 405.3,
      "text": "因為用比較低的價格拿到更多 VRAM 當然很香，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 162,
      "start": 405.54,
      "end": 408.2,
      "text": "但前提是你要用的東西真的都有支援。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 163,
      "start": 408.2,
      "end": 410.393,
      "text": "不然最後省下硬體的錢，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 164,
      "start": 410.393,
      "end": 413.28,
      "text": "卻花很多時間在處理環境跟相容性，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 165,
      "start": 413.52,
      "end": 415.08,
      "text": "使用體驗反而會變差。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 166,
      "start": 415.48,
      "end": 417.76,
      "text": "那 Apple 相關產品這邊就比較特別。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 167,
      "start": 418.0,
      "end": 420.16,
      "text": "如果今天主要是跑語言模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 168,
      "start": 420.34,
      "end": 422.54,
      "text": "確實是可以考慮 Mac 相關的產品。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 169,
      "start": 422.76,
      "end": 427.22,
      "text": "因為現在 Mac 用的 M 系列 這些晶片，像是 M1、M2，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 170,
      "start": 427.42,
      "end": 429.34,
      "text": "其實都是 Apple 自己設計的，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 171,
      "start": 429.58,
      "end": 431.66,
      "text": "這整套架構就叫 Apple Silicon。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 172,
      "start": 432.06,
      "end": 434.24,
      "text": "它跟一般桌機一個很大的差別，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 173,
      "start": 434.32,
      "end": 437.56,
      "text": "是 CPU 跟 GPU 可以共用同一塊記憶體。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 174,
      "start": 437.56,
      "end": 439.62,
      "text": "Apple 把這個叫做 Unified",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 175,
      "start": 439.62,
      "end": 441.96,
      "text": "Memory，也就是統一記憶體。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 176,
      "start": 442.14,
      "end": 444.64,
      "text": "一般 NVIDIA 電腦通常是系統 RAM",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 177,
      "start": 444.64,
      "end": 446.76,
      "text": "跟顯示卡 VRAM 分開算。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 178,
      "start": 447.12,
      "end": 450.12,
      "text": "假設你今天買一張 24GB 的 4090，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 179,
      "start": 450.78,
      "end": 453.26,
      "text": "模型主要可以直接放進 GPU 的空間",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 180,
      "start": 453.26,
      "end": 454.54,
      "text": "就是這 24GB。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 181,
      "start": 454.92,
      "end": 456.1,
      "text": "但 Mac 不太一樣，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 182,
      "start": 456.24,
      "end": 458.22,
      "text": "它可以直接做到 64GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 183,
      "start": 458.36,
      "end": 461.565,
      "text": "128GB，甚至更高的共享記憶體，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 184,
      "start": 461.565,
      "end": 463.64,
      "text": "CPU 跟 GPU 都可以使用。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 185,
      "start": 463.64,
      "end": 467.02,
      "text": "所以如果今天碰到的是非常大的語言模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 186,
      "start": 467.12,
      "end": 469.5,
      "text": "Mac 反而有一個很特殊的優勢。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 187,
      "start": 469.68,
      "end": 472.26,
      "text": "因為有些模型不是電腦完全算不動，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 188,
      "start": 472.36,
      "end": 475.52,
      "text": "而是一般消費級顯卡的 VRAM 根本放不下。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 189,
      "start": 475.78,
      "end": 477.38,
      "text": "這時候高記憶體的 Mac，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 190,
      "start": 477.48,
      "end": 480.06,
      "text": "就有機會直接把更大的模型放進去跑。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 191,
      "start": 480.34,
      "end": 483.54,
      "text": "所以如果今天我的工作主要是 Local LLM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 192,
      "start": 483.76,
      "end": 486.1,
      "text": "我其實真的會把 Mac 放進選項。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 193,
      "start": 486.34,
      "end": 488.54,
      "text": "而且現在也不只是語言模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 194,
      "start": 488.78,
      "end": 491.74,
      "text": "像 MiniMax H3 這種很大的影音模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 195,
      "start": 491.74,
      "end": 495.38,
      "text": "現在也已經有人真的在 M 系列 Mac 上面跑通。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 196,
      "start": 495.58,
      "end": 497.66,
      "text": "只是這裡就要講到 Apple 跟",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 197,
      "start": 497.66,
      "end": 499.82,
      "text": "NVIDIA 另外一個很大的差別。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 198,
      "start": 500.14,
      "end": 502.6,
      "text": "前面講 NVIDIA 的時候有提到 CUDA，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 199,
      "start": 502.8,
      "end": 505.56,
      "text": "你可以把 CUDA 理解成目前很多 AI 軟體",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 200,
      "start": 505.56,
      "end": 507.96,
      "text": "最常使用的一套 GPU 運算環境。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 201,
      "start": 508.14,
      "end": 509.32,
      "text": "Apple 沒有 CUDA，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 202,
      "start": 509.5,
      "end": 510.98,
      "text": "它有自己的一套系統。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 203,
      "start": 511.2,
      "end": 512.997,
      "text": "像 Metal 是 Apple 讓程式",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 204,
      "start": 512.997,
      "end": 514.9,
      "text": "使用 GPU 的底層技術，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 205,
      "start": 515.12,
      "end": 518.48,
      "text": "MLX 則是 Apple 做給機器學習使用的框架。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 206,
      "start": 518.48,
      "end": 521.3,
      "text": "其實一般使用者不用記這些名字，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 207,
      "start": 521.36,
      "end": 523.42,
      "text": "真正要知道的只有一件事情：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 208,
      "start": 523.7,
      "end": 525.18,
      "text": "同一個 AI 模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 209,
      "start": 525.26,
      "end": 526.86,
      "text": "在 NVIDIA 上可以跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 210,
      "start": 526.94,
      "end": 529.4,
      "text": "不代表直接搬到 Mac 就一定可以跑。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 211,
      "start": 529.6,
      "end": 531.785,
      "text": "很多模型需要有人另外把它適",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 212,
      "start": 531.785,
      "end": 533.12,
      "text": "配到 Apple 的環境，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 213,
      "start": 533.26,
      "end": 535.62,
      "text": "或者做成專門給 Mac 使用的版本。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 214,
      "start": 535.84,
      "end": 539.44,
      "text": "這也是為什麼我覺得本地 AI 有一個很重要的觀念：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 215,
      "start": 539.68,
      "end": 543.0,
      "text": "跑得動，跟適不適合拿來工作，是兩回事。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 216,
      "start": 543.3,
      "end": 546.72,
      "text": "像 MiniMax H3 現在 Mac 確實可以跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 217,
      "start": 546.72,
      "end": 548.7,
      "text": "這件事情本身很厲害，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 218,
      "start": 548.9,
      "end": 551.52,
      "text": "也代表 Apple 在本地 AI 這一塊已經",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 219,
      "start": 551.52,
      "end": 553.14,
      "text": "不是只能跑語言模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 220,
      "start": 553.4,
      "end": 556.1,
      "text": "但是如果我今天的工作是大量做圖片、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 221,
      "start": 556.22,
      "end": 557.96,
      "text": "ComfyUI、影片生成，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 222,
      "start": 558.18,
      "end": 560.84,
      "text": "而且新的模型一出來我就想馬上拿來測，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 223,
      "start": 561.0,
      "end": 563.6,
      "text": "那目前我自己還是會比較偏 NVIDIA。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 224,
      "start": 563.78,
      "end": 566.02,
      "text": "因為很多新模型跟新的 workflow，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 225,
      "start": 566.14,
      "end": 568.82,
      "text": "通常還是先在 CUDA 上面被完整測試。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 226,
      "start": 569.12,
      "end": 571.56,
      "text": "NVIDIA 很可能照著官方或者社群",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 227,
      "start": 571.56,
      "end": 572.72,
      "text": "教學就可以開始跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 228,
      "start": 572.72,
      "end": 575.3,
      "text": "Mac 有時候則要等別人移植、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 229,
      "start": 575.34,
      "end": 578.54,
      "text": "調整流程，或者自己處理一些相容性的問題。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 230,
      "start": 579.0,
      "end": 581.16,
      "text": "所以 Apple 不是不能跑 AI，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 231,
      "start": 581.46,
      "end": 583.08,
      "text": "比較準確的說法是：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 232,
      "start": 583.22,
      "end": 585.22,
      "text": "如果主要跑大型語言模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 233,
      "start": 585.48,
      "end": 588.64,
      "text": "Mac 的大容量共享記憶體其實非常有吸引力；",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 234,
      "start": 588.84,
      "end": 593.22,
      "text": "但如果圖片、影片、ComfyUI、新模型全部都想玩，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 235,
      "start": 593.44,
      "end": 596.62,
      "text": "目前 NVIDIA 的整體生態還是比較省事。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 236,
      "start": 596.74,
      "end": 598.4,
      "text": "因為我買一台工作機，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 237,
      "start": 598.62,
      "end": 601.46,
      "text": "在意的不是「網路上有沒有人成功跑過一次」。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 238,
      "start": 601.46,
      "end": 603.08,
      "text": "我更在意的是，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 239,
      "start": 603.16,
      "end": 605.38,
      "text": "我每天真的要用這些東西的時候，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 240,
      "start": 605.48,
      "end": 606.68,
      "text": "到底麻不麻煩。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 241,
      "start": 606.955,
      "end": 610.0,
      "text": "那講到這裡，其實還有一個界線要先說清楚。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 242,
      "start": 610.32,
      "end": 612.66,
      "text": "前面我們一直在講 24GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 243,
      "start": 612.8,
      "end": 615.38,
      "text": "32GB，甚至 Mac 的大記憶體，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 244,
      "start": 615.6,
      "end": 618.8,
      "text": "這些都還是一般人真的有可能買回家的機器。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 245,
      "start": 619.02,
      "end": 621.0,
      "text": "但如果今天你的目標是：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 246,
      "start": 621.26,
      "end": 624.18,
      "text": "我要在家裡直接跑完整版的超大型模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 247,
      "start": 624.5,
      "end": 626.5,
      "text": "那就完全是另外一個等級了。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 248,
      "start": 626.5,
      "end": 629.84,
      "text": "像現在 DeepSeek V4 Flash 這種模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 249,
      "start": 629.96,
      "end": 633.26,
      "text": "雖然它每次回答的時候只會動用其中一部分，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 250,
      "start": 633.42,
      "end": 635.72,
      "text": "但整套模型本身還是非常大。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 251,
      "start": 635.9,
      "end": 638.24,
      "text": "你可以把它想成一間很大的公司，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 252,
      "start": 638.5,
      "end": 640.86,
      "text": "一次工作可能只叫幾個部門出來，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 253,
      "start": 641.08,
      "end": 642.86,
      "text": "但其他部門還是得存在。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 254,
      "start": 643.2,
      "end": 645.8,
      "text": "所以如果真的要完整部署這種模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 255,
      "start": 645.92,
      "end": 648.54,
      "text": "通常就不是買一張 5090 可以解決，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 256,
      "start": 648.7,
      "end": 651.5,
      "text": "而是會開始進到多張資料中心 GPU、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 257,
      "start": 651.507,
      "end": 653.0,
      "text": "伺服器這種等級。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 258,
      "start": 653.34,
      "end": 654.48,
      "text": "像 GB200、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 259,
      "start": 654.49,
      "end": 658.12,
      "text": "B200 這些當然很強，但價格、耗電、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 260,
      "start": 658.15,
      "end": 661.26,
      "text": "散熱跟整套機器都已經不是一般使用",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 261,
      "start": 661.26,
      "end": 662.42,
      "text": "者會考慮的東西。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 262,
      "start": 662.7,
      "end": 665.18,
      "text": "所以我覺得一般人在玩 Local AI，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 263,
      "start": 665.36,
      "end": 668.24,
      "text": "大部分指的都是所謂的量化版本的模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 264,
      "start": 668.46,
      "end": 669.7,
      "text": "所以不需要追求：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 265,
      "start": 669.96,
      "end": 672.2,
      "text": "「最大的模型我也一定要滿血跑。」",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 266,
      "start": 672.42,
      "end": 674.2,
      "text": "我們比較實際的做法，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 267,
      "start": 674.22,
      "end": 676.72,
      "text": "本來就是找適合自己的硬體 GPU，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 268,
      "start": 677.02,
      "end": 678.9,
      "text": "然後挑選適合的量化模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 269,
      "start": 678.9,
      "end": 681.32,
      "text": "只要它已經可以完成我的工作，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 270,
      "start": 681.36,
      "end": 683.9,
      "text": "那麼就是一個值得投資的考量了",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 271,
      "start": 684.181,
      "end": 685.9,
      "text": "那回到一般人的工作機，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 272,
      "start": 686.0,
      "end": 687.12,
      "text": "顯卡選完之後，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 273,
      "start": 687.2,
      "end": 688.88,
      "text": "我自己還會補兩個東西。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 274,
      "start": 689.14,
      "end": 690.66,
      "text": "第一個是系統 RAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 275,
      "start": 690.96,
      "end": 693.64,
      "text": "前面 VRAM 是顯示卡自己的記憶體，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 276,
      "start": 693.86,
      "end": 696.72,
      "text": "RAM 則是整台電腦平常在用的記憶體。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 277,
      "start": 696.9,
      "end": 700.5,
      "text": "如果我都已經組到 24GB VRAM 這種等級，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 278,
      "start": 700.62,
      "end": 703.34,
      "text": "我自己通常會直接抓 64GB RAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 279,
      "start": 703.48,
      "end": 705.94,
      "text": "不是因為 32GB 不能用，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 280,
      "start": 705.94,
      "end": 709.1,
      "text": "而是實際工作時你不可能只開一個模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 281,
      "start": 709.16,
      "end": 710.98,
      "text": "瀏覽器、IDE、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 282,
      "start": 711.12,
      "end": 713.68,
      "text": "Agent、ComfyUI 都可能一起跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 283,
      "start": 713.88,
      "end": 716.28,
      "text": "而且模型太大塞不進 VRAM 的時候，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 284,
      "start": 716.52,
      "end": 718.84,
      "text": "有些東西還可以暫時丟到系統 RAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 285,
      "start": 718.94,
      "end": 721.0,
      "text": "這種做法通常會比較慢，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 286,
      "start": 721.2,
      "end": 724.32,
      "text": "但至少可以讓一些原本塞不下的模型跑起來。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 287,
      "start": 724.66,
      "end": 727.96,
      "text": "所以 64GB 對我來說比較像是留一點空間，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 288,
      "start": 728.16,
      "end": 730.37,
      "text": "不要每次換模型都開始撞牆。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 289,
      "start": 730.5,
      "end": 733.32,
      "text": "還有像是前面提到的 Mac 也是同概念，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 290,
      "start": 733.32,
      "end": 737.78,
      "text": "只是會直接整個記憶體考量而已再來就是 SSD。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 291,
      "start": 738.02,
      "end": 740.6,
      "text": "這個真的玩本地 AI 之後很容易爆。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 292,
      "start": 740.86,
      "end": 742.38,
      "text": "因為模型十幾 GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 293,
      "start": 742.38,
      "end": 743.92,
      "text": "幾十 GB 很正常，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 294,
      "start": 744.08,
      "end": 746.37,
      "text": "圖片跟影片還會再加 VAE、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 295,
      "start": 746.37,
      "end": 747.85,
      "text": "LoRA、Encoder，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 296,
      "start": 747.88,
      "end": 750.98,
      "text": "各種版本全部累積起來會大量的吃滿空間，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 297,
      "start": 751.26,
      "end": 754.3,
      "text": "用一般儲存會影響到載入這些東西的速度。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 298,
      "start": 754.52,
      "end": 756.74,
      "text": "而且你一定不會只抓一個模型。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 299,
      "start": 757.02,
      "end": 760.08,
      "text": "所以如果真的要長期把這台當 AI 工作機，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 300,
      "start": 760.08,
      "end": 762.58,
      "text": "SSD 我也會盡量抓高一點。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 301,
      "start": 763.008,
      "end": 764.88,
      "text": "所以綜合前面這些條件，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 302,
      "start": 765.04,
      "end": 767.88,
      "text": "如果今天是我自己要組一台比較全面的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 303,
      "start": 767.88,
      "end": 769.14,
      "text": "本地 AI 工作機，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 304,
      "start": 769.3,
      "end": 771.547,
      "text": "我目前還是會優先選 NVIDIA，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 305,
      "start": 771.547,
      "end": 774.98,
      "text": "而且 VRAM 我會從 24GB 左右開始看。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 306,
      "start": 775.12,
      "end": 778.9,
      "text": "原因很簡單，一個是 CUDA 生態現在還是比較完整，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 307,
      "start": 778.96,
      "end": 780.108,
      "text": "很多新的模型、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 308,
      "start": 780.108,
      "end": 782.22,
      "text": "ComfyUI workflow 跟影音",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 309,
      "start": 782.22,
      "end": 784.36,
      "text": "工具通常都先支援 NVIDIA；",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 310,
      "start": 784.36,
      "end": 786.72,
      "text": "另外就是 24GB 這個級距，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 311,
      "start": 786.74,
      "end": 788.32,
      "text": "已經可以涵蓋不少語言、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 312,
      "start": 788.44,
      "end": 790.2,
      "text": "圖片跟部分影片模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 313,
      "start": 790.48,
      "end": 793.48,
      "text": "不會每碰到一個新模型就先卡在 VRAM 不夠。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 314,
      "start": 793.6,
      "end": 795.76,
      "text": "有預算的話，32GB、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 315,
      "start": 795.9,
      "end": 798.02,
      "text": "48GB 當然會更舒服，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 316,
      "start": 798.22,
      "end": 799.96,
      "text": "但這就看每個人的預算。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 317,
      "start": 800.22,
      "end": 801.98,
      "text": "再來是系統記憶體。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 318,
      "start": 802.12,
      "end": 804.24,
      "text": "如果顯卡都已經選到這個等級，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 319,
      "start": 804.4,
      "end": 806.98,
      "text": "我自己會建議至少 64GB RAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 320,
      "start": 807.46,
      "end": 809.14,
      "text": "因為實際跑模型的時候，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 321,
      "start": 809.24,
      "end": 812.64,
      "text": "不只是 GPU 在工作，系統本身、Agent、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 322,
      "start": 812.92,
      "end": 814.58,
      "text": "ComfyUI、瀏覽器，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 323,
      "start": 814.76,
      "end": 817.5,
      "text": "甚至模型 offload 都可能一起吃到 RAM。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 324,
      "start": 817.82,
      "end": 819.28,
      "text": "最後就是 SSD，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 325,
      "start": 819.28,
      "end": 821.3,
      "text": "這個我也不會省太多。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 326,
      "start": 821.44,
      "end": 822.74,
      "text": "就如前面說的，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 327,
      "start": 822.82,
      "end": 824.26,
      "text": "載入初始化的模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 328,
      "start": 824.42,
      "end": 826.52,
      "text": "很容易就可以吃掉大量空間，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 329,
      "start": 826.84,
      "end": 829.74,
      "text": "而且 SSD 的速度也會直接影響模型第",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 330,
      "start": 829.74,
      "end": 830.98,
      "text": "一次載入的時間。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 331,
      "start": 831.26,
      "end": 834.02,
      "text": "所以如果要把它簡化成三件事情：",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 332,
      "start": 834.2,
      "end": 835.405,
      "text": "GPU 跟 VRAM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 333,
      "start": 835.405,
      "end": 837.68,
      "text": "主要決定模型能不能順利跑，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 334,
      "start": 837.68,
      "end": 838.82,
      "text": "以及跑得多快。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 335,
      "start": 839.1,
      "end": 842.2,
      "text": "RAM，決定系統有沒有足夠空間去載入、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 336,
      "start": 842.36,
      "end": 844.74,
      "text": "offload 跟同時處理其他工作。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 337,
      "start": 845.04,
      "end": 847.7,
      "text": "SSD，決定你能放多少模型，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 338,
      "start": 847.7,
      "end": 850.01,
      "text": "以及模型載入時要等多久。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 339,
      "start": 850.01,
      "end": 853.6,
      "text": "如果只是要我直接給一套比較不容易踩雷的方向，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 340,
      "start": 853.66,
      "end": 858.24,
      "text": "那我目前會是：NVIDIA、24GB VRAM 起跳、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 341,
      "start": 858.36,
      "end": 859.62,
      "text": "64GB RAM，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 342,
      "start": 859.88,
      "end": 861.7,
      "text": "再準備夠大的 SSD。",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 343,
      "start": 861.9,
      "end": 863.28,
      "text": "這不是唯一答案，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 344,
      "start": 863.5,
      "end": 866.54,
      "text": "但如果今天目標是語言、圖片、影片、",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 345,
      "start": 866.8,
      "end": 868.06,
      "text": "Agent 都想碰，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 346,
      "start": 868.32,
      "end": 870.98,
      "text": "而且希望新模型出來不要每次先處理",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 347,
      "start": 870.98,
      "end": 872.22,
      "text": "一堆相容性問題，",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 348,
      "start": 872.5,
      "end": 875.16,
      "text": "我覺得這是目前比較實際的一個起點。",
      "source": "source_caption",
      "timing_uncertain": false
    }
  ]
}