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    \n
  1. \u786c\u4ef6\u6295\u5165\uff1a\u66ff\u4ee3\u539f\u6709\u8bad\u7ec3\u670d\u52a1\u5668 + \u56fe\u5f62\u5de5\u4f5c\u7ad9\u4e24\u5957\u8bbe\u5907\uff0c\u786c\u4ef6\u521d\u59cb\u91c7\u8d2d\u6210\u672c\u964d\u4f4e 29%\uff0c\u4e24\u5e74\u8fd0\u7ef4 TCO \u4e0b\u964d 33%\uff1b<\/li>\n\n\n\n
  2. \u751f\u4ea7\u6548\u7387\uff1a\u5355\u6761 4K \u7279\u6548\u955c\u5934\u4ece\u8bad\u7ec3\u5fae\u8c03\u81f3\u5b9e\u65f6\u6e32\u67d3\u6210\u7247\u5168\u6d41\u7a0b\u8017\u65f6\u7f29\u77ed 57%\uff0c\u7d20\u6750\u8de8\u8bbe\u5907\u8fc1\u79fb\u4eba\u529b\u5de5\u65f6\u6e05\u96f6\uff1b<\/li>\n\n\n\n
  3. \u8d44\u6e90\u5229\u7528\u7387\uff1a\u786c\u4ef6\u65e5\u5747\u6709\u6548\u7b97\u529b\u8fd0\u884c\u65f6\u957f 19.2 \u5c0f\u65f6\uff0c\u95f2\u7f6e\u65f6\u957f\u538b\u7f29\u81f3 4.8 \u5c0f\u65f6\uff0c\u8fdc\u4f18\u4e8e\u884c\u4e1a 50% \u5de6\u53f3\u5e73\u5747\u5229\u7528\u7387\uff1b<\/li>\n\n\n\n
  4. \u4ea7\u80fd\u4e0a\u9650\uff1a8 \u8282\u70b9\u5206\u5e03\u5f0f\u96c6\u7fa4\u5355\u65e5\u53ef\u5b8c\u6210 2000 \u6761\u5206\u955c AI \u751f\u6210\u3001400 \u5c0f\u65f6 4K \u6210\u7247\u6e32\u67d3\uff0c\u6ee1\u8db3\u4e2d\u578b\u77ed\u5267\u9879\u76ee\u5468\u5ea6\u62cd\u6444\u914d\u5957\u7b97\u529b\u9700\u6c42\u3002<\/li>\n<\/ol>\n\n\n\n

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