{"id":804,"date":"2026-07-28T11:43:41","date_gmt":"2026-07-28T03:43:41","guid":{"rendered":"https:\/\/www.aximmetrycn.com\/?p=804"},"modified":"2026-07-28T11:43:41","modified_gmt":"2026-07-28T03:43:41","slug":"%e5%88%86%e5%b8%83%e5%bc%8f%e7%ae%97%e5%8a%9b%e9%94%81%ef%bc%9aaximmetry%e5%a4%9a%e8%8a%82%e7%82%b9%e7%be%a4%e9%9b%86%ef%bc%88clustering%ef%bc%89%e7%a1%ac%e5%90%8c%e6%ad%a5%e4%b8%8e%e5%b9%bf%e6%92%ad","status":"publish","type":"post","link":"https:\/\/www.aximmetrycn.com\/zh_cn\/20260728320088048841.html","title":{"rendered":"\u5206\u5e03\u5f0f\u7b97\u529b\u9501\uff1aAximmetry\u591a\u8282\u70b9\u7fa4\u96c6\uff08Clustering\uff09\u786c\u540c\u6b65\u4e0e\u5e7f\u64ad\u7ea7\u5bb9\u707e\u7ba1\u7ebf"},"content":{"rendered":"

\u5728\u8d85\u5927\u578b LED \u865a\u62df\u5236\u7247\uff08ICVFX\uff09\u548c\u6c89\u6d78\u5f0f\u5de8\u5e55\u821e\u53f0\u7684\u73b0\u573a\uff0c\u5355\u4e2a GPU \u7684\u7b97\u529b\u5f80\u5f80\u4f1a\u5728\u6d77\u91cf\u50cf\u7d20\u9762\u524d\u6349\u895f\u89c1\u8098\u3002<\/p>\n

\u4e3a\u4e86\u9a71\u52a8\u8de8\u5ea6\u6570\u5341\u7c73\u3001\u5206\u8fa8\u7387\u9ad8\u8fbe 8K \u751a\u81f3 12K \u7684\u5f27\u5f62 LED \u5de8\u5e55\u3001\u7a79\u9876\uff08Ceiling\uff09\u4ee5\u53ca\u4fa7\u9762\u8865\u5149\u5c4f\uff0c\u6280\u672f\u56e2\u961f\u5fc5\u987b\u90e8\u7f72\u7531\u591a\u53f0\u9ad8\u914d\u6e32\u67d3\u5de5\u4f5c\u7ad9\u7ec4\u6210\u7684\u5206\u5e03\u5f0f\u6e32\u67d3\u7fa4\u96c6\uff08Multi-Node Clustering\uff09<\/span>\u3002<\/p>\n

\u7136\u800c\uff0c\u5728\u8fd9\u5957\u7531\u591a\u53f0\u673a\u5668\u5171\u540c\u62fc\u88c5\u8d77\u7684\u201c\u8d85\u7ea7\u7b97\u529b\u602a\u517d\u201d\u4e2d\uff0c\u9690\u85cf\u7740\u6574\u4e2a\u7cfb\u7edf\u4e2d\u6700\u8106\u5f31\u7684\u5de5\u4e1a\u7ea7\u75db\u70b9\u2014\u2014\u5206\u5e03\u5f0f\u72b6\u6001\u975e\u786e\u5b9a\u6027\uff08Non-deterministic State\uff09\u4e0e\u6e32\u67d3\u65ad\u88c2<\/span>\uff1a<\/p>\n

    \n
  1. \u7f51\u7edc\u65f6\u949f\u7684\u6beb\u79d2\u7ea7\u6f02\u79fb\uff08Clock Drift\uff09\uff1a<\/span>\u00a0\u5373\u4f7f\u6bcf\u53f0\u673a\u5668\u90fd\u914d\u7f6e\u4e86\u6700\u9876\u7ea7\u7684\u786c\u4ef6\uff0c\u5b83\u4eec\u5404\u81ea\u7684\u4e3b\u677f\u6676\u632f\u5728\u8fd0\u884c\u4e2d\u4e5f\u4f1a\u4ea7\u751f\u5fae\u5f31\u7684\u7269\u7406\u65f6\u95f4\u5dee\u3002\u5728 60fps \u5e27\u7387\u4e0b\uff0c\u4e00\u5e27\u7684\u751f\u547d\u5468\u671f\u4ec5\u6709 16.6 \u6beb\u79d2\u3002\u54ea\u6015 1 \u6beb\u79d2\u7684\u7f51\u7edc\u901a\u4fe1\u6296\u52a8\uff0c\u4e5f\u4f1a\u5bfc\u81f4\u8282\u70b9 A\uff08\u8d1f\u8d23\u6e32\u67d3 LED \u5de6\u534a\u90e8\u5206\uff09\u548c\u8282\u70b9 B\uff08\u8d1f\u8d23\u6e32\u67d3 LED \u53f3\u534a\u90e8\u5206\uff09\u8bfb\u53d6\u5230\u7684\u865a\u62df\u76f8\u673a\u4f4d\u7f6e\u4ea7\u751f\u5fae\u5f31\u7684\u65f6\u95f4\u9519\u4f4d\uff0c\u4ece\u800c\u5728\u5de8\u5e55\u62fc\u63a5\u7f1d\u5904\u4ea7\u751f\u523a\u773c\u7684\u201c\u6298\u65ad\u5f0f\u201d\u9519\u4f4d\uff08Tearing\uff09<\/span>\u3002<\/li>\n
  2. \u903b\u8f91\u8fd0\u884c\u7684\u6df7\u6c8c\u6027\uff08Game State Desync\uff09\uff1a<\/span>\u00a0\u5728\u865a\u5e7b\u5f15\u64ce 5\uff08UE5\uff09\u4e2d\uff0c\u7c92\u5b50\u7cfb\u7edf\u7684\u968f\u673a\u79cd\u5b50\uff08Seed\uff09\u3001\u7269\u7406\u52a8\u529b\u5b66\u8ba1\u7b97\u3001\u4ee5\u53ca\u57fa\u4e8e\u65f6\u95f4\u8f74\uff08Timeline\uff09\u7684\u52a8\u753b\uff0c\u9ed8\u8ba4\u662f\u5728\u6bcf\u53f0\u673a\u5668\u4e0a\u72ec\u7acb\u8fd0\u884c\u7684\u3002\u5728\u6ca1\u6709\u7269\u7406\u9501\u540c\u6b65\u7684\u60c5\u51b5\u4e0b\uff0c\u4e24\u53f0\u6e32\u67d3\u8282\u70b9\u5728\u540c\u4e00\u65f6\u523b\u8ba1\u7b97\u51fa\u7684\u96e8\u6ef4\u98de\u821e\u8f68\u8ff9\u3001\u843d\u53f6\u98d8\u843d\u4f4d\u7f6e\u4f1a\u5b8c\u5168\u4e0d\u540c\u3002\u8fd9\u4f1a\u5bfc\u81f4\u4e24\u5757 LED \u5899\u4ea4\u754c\u5904\u7684\u7269\u7406\u52a8\u753b\u53d1\u751f\u6bc1\u706d\u6027\u7684\u201c\u7c92\u5b50\u77ac\u79fb\u4e0e\u7a7f\u5e2e\u201d<\/span>\u3002<\/li>\n
  3. \u201c\u5355\u70b9\u5d29\u6e83\uff0c\u5168\u76d8\u7686\u8f93\u201d\u7684\u64ad\u51fa\u707e\u96be\uff1a<\/span>\u00a0\u5728\u5927\u578b\u665a\u4f1a\u76f4\u64ad\u3001\u8de8\u56fd\u5cf0\u4f1a\u8f6c\u64ad\u7b49\u201c\u96f6\u5931\u8bef\u201d\u573a\u666f\u4e2d\uff0c\u7fa4\u96c6\u4e2d\u4efb\u4f55\u4e00\u53f0\u6e32\u67d3\u670d\u52a1\u5668\u56e0\u4e3a\u786c\u4ef6\u8fc7\u70ed\u3001\u663e\u5b58\u6ea2\u51fa\u6216\u7f51\u7ebf\u677e\u52a8\u800c\u6389\u7ebf\uff0c\u90fd\u4f1a\u5bfc\u81f4\u5bf9\u5e94\u7684 LED \u533a\u57df\u77ac\u95f4\u201c\u9ed1\u5c4f\u201d\u6216\u753b\u9762\u51bb\u7ed3\uff0c\u5f15\u53d1\u707e\u96be\u6027\u7684\u64ad\u51fa\u4e8b\u6545\u3002<\/li>\n<\/ol>\n

    Aximmetry<\/span>\u00a0\u51ed\u501f\u5176\u4e13\u4e3a\u5e7f\u7535\u7ea7\u9ad8\u53ef\u7528\u5ea6\uff08High Availability\uff09\u91cd\u6784\u7684\u201c\u7fa4\u96c6\u521a\u6027\u65f6\u7a7a\u9501\u5408\u4e0e\u591a\u8f68\u53cc\u6d3b\u70ed\u5907\u7ba1\u7ebf\uff08Rigid Cluster Lock & Active-Active Redundancy Pipeline\uff09\u201d<\/span>\uff0c\u5728\u591a\u53f0\u7269\u7406\u5de5\u4f5c\u7ad9\u4e4b\u95f4\uff0c\u94f8\u9020\u4e86\u4e00\u9053\u575a\u4e0d\u53ef\u6467\u7684\u7b97\u529b\u4e0e\u5b89\u5168\u5c4f\u969c\u3002<\/p>\n

    \n

    \u4e00\u3001 \u903b\u8f91\u786e\u5b9a\u6027\u9501\u5b58\uff1a\u57fa\u4e8e\u786e\u5b9a\u6027\u5e8f\u5217\u5316\uff08Deterministic Serialization\uff09\u7684\u7fa4\u96c6\u72b6\u6001\u5bf9\u9f50<\/h2>\n

    \u8981\u6d88\u9664\u5206\u5e03\u5f0f\u6e32\u67d3\u4e2d\u7684\u201c\u865a\u5b9e\u62fc\u63a5\u6298\u65ad\u201d\uff0c\u9996\u8981\u4efb\u52a1\u662f\u5f7b\u5e95\u5265\u593a\u5404\u4e2a\u5b50\u6e32\u67d3\u8282\u70b9\u81ea\u4e3b\u8ba1\u7b97\u6e38\u620f\u903b\u8f91\u7684\u6743\u529b\uff0c\u5728\u8f6f\u4ef6\u7b97\u6cd5\u5c42\u5b9e\u73b0\u201c\u786e\u5b9a\u6027\u6267\u884c\uff08Deterministic Execution\uff09\u201d<\/span>\u3002<\/p>\n

    Aximmetry \u5efa\u7acb\u4e86\u4e00\u5957\u9ad8\u9891\u3001\u5f3a\u76d1\u7ba1\u7684\u201c\u4e3b-\u4ece\uff08Master-Slave\uff09\u201d\u5206\u5e03\u5f0f\u72b6\u6001\u901a\u4fe1\u62d3\u6251<\/span>\uff1a<\/p>\n

    1. \u7269\u7406\u65f6\u949f\u6e90\u521a\u6027\u5bf9\u9f50\uff08IEEE 1588 PTP\uff09<\/h3>\n

    \u7fa4\u96c6\u5185\u90e8\u7684\u6240\u6709\u5de5\u4f5c\u7ad9\u4e0d\u4f9d\u8d56\u4e8e Windows \u7684\u7f51\u7edc\u65f6\u95f4\u540c\u6b65\uff0c\u800c\u662f\u5168\u90e8\u7ed1\u5b9a\u81f3\u540c\u4e00\u53f0\u5916\u90e8\u5e7f\u64ad\u7ea7\u4e3b\u65f6\u949f\u6e90\u3002\u901a\u8fc7\u652f\u6301\u00a0IEEE 1588 PTP\uff08\u7cbe\u786e\u65f6\u95f4\u534f\u8bae\uff09<\/span>\u00a0\u7684\u4e07\u5146\u5149\u7ea4\u4ea4\u6362\u673a\uff0c\u5c06\u6240\u6709\u670d\u52a1\u5668\u7684\u7cfb\u7edf\u65f6\u949f\u6296\u52a8\u9501\u6b7b\u5728\u7eb3\u79d2\uff08Nanosecond\uff09\u7ea7<\/span>\u3002<\/p>\n

    2. \u4e3b\u8282\u70b9\u7edf\u4e00\u8ba1\u7b97\u4e0e\u72b6\u6001\u5e8f\u5217\u5316\uff08State Serialization\uff09<\/h3>\n

    \u5728\u6e32\u67d3\u6d41\u7a0b\u4e2d\uff0c\u6240\u6709\u7684\u5916\u90e8\u8f93\u5165\u4fe1\u53f7\uff08\u5305\u62ec FIZ \u955c\u5934\u53c2\u6570\u30016DOF \u76f8\u673a\u8ffd\u8e2a\u6570\u636e\u3001DMX \u706f\u5149\u63a7\u5236\u3001Timeline \u65f6\u95f4\u8f74\u8fdb\u5ea6\uff09\u7edf\u4e00\u7531 Aximmetry \u7684\u00a0\u4e3b\u63a7\u5236\u8282\u70b9\uff08Master Node\uff09<\/span>\u00a0\u8fdb\u884c\u96c6\u4e2d\u63a5\u6536\u4e0e\u7269\u7406\u8ba1\u7b97\u3002 \u4e3b\u8282\u70b9\u5c06\u5f53\u524d\u5e27\u7684\u6240\u6709\u903b\u8f91\u8fd0\u7b97\u7ed3\u679c\u3001\u968f\u673a\u6570\u751f\u6210\u79cd\u5b50\u3001\u7c92\u5b50\u521d\u59cb\u72b6\u6001\uff0c\u6253\u5305\u538b\u7f29\u4e3a\u4e00\u4e2a\u6781\u9ad8\u5bc6\u5ea6\u7684\u72b6\u6001\u6570\u636e\u96c6\uff08State Packet\uff09<\/span>\u3002<\/p>\n

    3. \u5f3a\u540c\u6b65\u5e27\u524d\u5e7f\u64ad\uff08Frame-Pre-Broadcast\uff09<\/h3>\n

    \u5728\u6e32\u67d3\u7ebf\u7a0b\u542f\u52a8\u524d\u7684\u5fae\u79d2\u7ea7\u95f4\u9699\uff0c\u4e3b\u8282\u70b9\u901a\u8fc7\u4e13\u7528\u7684\u4f4e\u5ef6\u8fdf\u53cc\u5411\u73af\u5f62\u7f51\u7edc\u534f\u8bae\uff0c\u5c06\u72b6\u6001\u6570\u636e\u96c6\u5f3a\u884c\u63a8\u9001\u5230\u6240\u6709\u5b50\u6e32\u67d3\u8282\u70b9\uff08Slave Nodes\uff09<\/span>\u3002 \u5b50\u8282\u70b9\u6536\u5230\u6570\u636e\u5305\u540e\uff0c\u76f4\u63a5\u8986\u76d6\u81ea\u8eab\u7684 UE5 \u903b\u8f91\u72b6\u6001\uff0c\u53ea\u8fdb\u884c\u7eaf\u7cb9\u7684\u56fe\u50cf\u5149\u6805\u5316\u4e0e\u50cf\u7d20\u7740\u8272\uff08Shading\uff09\u3002 \u8fd9\u4e00\u673a\u5236\u786e\u4fdd\u4e86\u6574\u4e2a\u7fa4\u96c6\u5728\u5904\u7406\u590d\u6742\u7684\u7269\u7406\u78b0\u649e\u3001 Niagara \u7c92\u5b50\u6d41\u52a8\u6216\u968f\u673a\u52a8\u753b\u65f6\uff0c\u6bcf\u4e00\u53f0\u670d\u52a1\u5668\u5185\u7684 3D \u68a6\u5883\u5728\u51e0\u4f55\u4e0e\u903b\u8f91\u7ef4\u5ea6\u4e0a\u90fd\u662f\u00a01:1 \u7edd\u5bf9\u590d\u5236\u3001\u7edd\u5bf9\u5bf9\u9f50<\/span>\u7684\u3002<\/p>\n

    \n

    \u4e8c\u3001 \u50cf\u7d20\u7ea7\u5149\u6805\u9501\u9501\u5408\uff1a\u57fa\u4e8e NVIDIA Swap Barrier \u7684\u786c\u4ef6\u7ea7\u5e27\u5c4f\u969c<\/h2>\n

    \u5373\u4f7f\u6240\u6709\u8282\u70b9\u5728\u903b\u8f91\u4e0a\u8fbe\u5230\u4e86\u5bf9\u9f50\uff0c\u5982\u679c\u5b83\u4eec\u5728\u5411 LED \u63a7\u5236\u5668\u53d1\u9001\u56fe\u50cf\u6570\u636e\u7684\u77ac\u95f4\u5b58\u5728\u5fae\u5c0f\u7684\u5f02\u6b65\uff0c\u5c4f\u5e55\u62fc\u63a5\u7ebf\u4f9d\u7136\u4f1a\u53d1\u751f\u7269\u7406\u6495\u88c2\u3002<\/p>\n

    Aximmetry \u6df1\u5165\u5e95\u5c42\u7684 GPU \u4ea4\u6362\u94fe\uff0c\u6784\u7b51\u4e86\u201c\u786c\u4ef6\u7ea7\u50cf\u7d20\u540c\u6b65\u9501\uff08Hardware Frame Lock\uff09\u201d<\/span>\uff1a<\/p>\n

    1. NVIDIA Quadro Sync II \u786c\u4ef6\u7ea7\u7ed1\u5b9a<\/h3>\n

    \u5728\u786c\u4ef6\u914d\u7f6e\u4e0a\uff0c\u7fa4\u96c6\u5185\u7684\u6bcf\u53f0\u5de5\u4f5c\u7ad9\u7686\u914d\u5907\u4e86 NVIDIA \u4e13\u7528\u7684\u00a0Quadro Sync II \u540c\u6b65\u677f\u5361<\/span>\uff0c\u5e76\u7531\u7269\u7406 RJ45 \u540c\u6b65\u7ebf\u7f06\u4e32\u8054\u3002 \u8be5\u786c\u4ef6\u5728\u5404\u53f0\u673a\u5668\u7684 GPU \u82af\u7247\u4e4b\u95f4\uff0c\u642d\u5efa\u4e86\u4e00\u6761\u76f4\u901a\u7684\u3001\u72ec\u7acb\u7684\u7269\u7406\u540c\u6b65\u65f6\u949f\u94fe\u8def\u3002<\/p>\n

    2. \u63a5\u7ba1 NVIDIA \u4ea4\u6362\u5c4f\u969c API\uff08Swap Barrier API\uff09<\/h3>\n

    Aximmetry \u5728 GPU \u9a71\u52a8\u5c42\uff0c\u901a\u8fc7 NVAPI \u5f3a\u884c\u622a\u83b7\u4e86 DirectX 12 \u6e32\u67d3\u7ba1\u7ebf\u7684\u00a0Present()<\/code>\u00a0\u4ea4\u6362\u7f13\u51b2\u533a\u547d\u4ee4\u3002 \u5f53\u5b50\u8282\u70b9 A \u63d0\u524d\u6e32\u67d3\u5b8c\u5176\u8d1f\u8d23\u7684 4K \u753b\u5e45\u65f6\uff0c\u5b83\u7684 GPU \u5199\u5165\u961f\u5217\u4f1a\u88ab Quadro Sync II \u82af\u7247\u5728\u786c\u4ef6\u7ea7\u5f3a\u5236\u6302\u8d77\uff08Barrier Lock\uff09\u3002<\/p>\n

    3. \u5fae\u79d2\u7ea7\u7fa4\u96c6\u7edf\u4e00\u7ffb\u9875\uff08Unified Page Flip\uff09<\/h3>\n

    \u76f4\u5230\u7fa4\u96c6\u5185\u6700\u6162\u7684\u4e00\u53f0\u6e32\u67d3\u8282\u70b9\uff08\u4f8b\u5982\u573a\u666f\u590d\u6742\u5ea6\u66f4\u9ad8\u7684\u673a\u4f4d\u6e32\u67d3\u7aef\uff09\u53d1\u51fa\u201c\u6e32\u67d3\u5b8c\u6210\u201d\u7684\u786c\u4ef6\u8109\u51b2\u4fe1\u53f7\uff0c\u6240\u6709\u670d\u52a1\u5668\u7684 GPU \u624d\u4f1a\u5728\u540c\u4e00\u4e2a\u5fae\u79d2\u5185\uff0c\u5171\u540c\u6267\u884c\u663e\u5b58\u7f13\u51b2\u533a\u7ffb\u9875\u64cd\u4f5c\uff08Page Flip\uff09<\/span>\u3002<\/p>\n

    \u8fd9\u4f7f\u5f97\u8f93\u51fa\u5230 LED \u5904\u7406\u5668\uff08\u5982 NovaStar \/ Brompton\uff09\u7684\u591a\u8def SDI\/HDMI \u4fe1\u53f7\uff0c\u5728\u5149\u7535\u626b\u63cf\u7684\u7269\u7406\u7ef4\u5ea6\u4e0a\u8fbe\u5230\u4e86\u7edd\u5bf9\u7684\u201c\u6b65\u8c03\u4e00\u81f4\u201d<\/span>\u3002 \u65e0\u8bba\u76f8\u673a\u79fb\u52a8\u901f\u5ea6\u6709\u591a\u5feb\uff0cLED \u5de8\u5e55\u7684\u62fc\u63a5\u7f1d\u5904\u90fd\u4e0d\u4f1a\u4ea7\u751f\u4efb\u4f55\u8089\u773c\u53ef\u89c1\u7684\u5149\u5b66\u6495\u88c2\u7ebf\u3002<\/p>\n

    \n

    \u4e09\u3001 \u5e7f\u64ad\u7ea7\u65e0\u7f1d\u5207\u6362\uff1a\u57fa\u4e8e\u53cc\u6d3b\uff08Active-Active\uff09\u62d3\u6251\u7684\u4e3b\u52a8\u5bb9\u707e\u4e0e\u5e27\u5e73\u6ed1\u8fc7\u6e21<\/h2>\n

    \u5728\u73b0\u573a\u76f4\u64ad\u7684\u6781\u9ad8\u538b\u73af\u5883\u4e0b\uff0c\u5bb9\u707e\u80fd\u529b\u662f\u8861\u91cf\u4e00\u5957\u7cfb\u7edf\u662f\u5426\u80fd\u8fdb\u5165\u201c\u56fd\u5bb6\u7ea7\u8f6c\u64ad\u8f66\u201d\u7684\u786c\u6307\u6807\u3002 Aximmetry \u6452\u5f03\u4e86\u4f20\u7edf\u7684\u201c\u4e3b\u5907\u673a\u51b7\u5207\u6362\uff08\u9700\u8981\u6570\u79d2\u9ed1\u5c4f\u91cd\u65b0\u62c9\u8d77\u573a\u666f\uff09\u201d\uff0c\u90e8\u7f72\u4e86\u201c\u53cc\u6d3b\u4e3b\u52a8\u5bb9\u707e\u4e0e\u5e27\u5e73\u6ed1\u8def\u7531\uff08Active-Active Fault Tolerant Routing\uff09\u201d<\/span>\u7cfb\u7edf\uff1a<\/p>\n

    1. \u5168\u8d1f\u8377\u70ed\u5907\u8282\u70b9\u5e76\u53d1\uff08Active-Active Rendering\uff09<\/h3>\n

    \u5728 Aximmetry \u7684\u5bb9\u707e\u62d3\u6251\u4e2d\uff0c\u4e3b\u5de5\u4f5c\u7ad9\uff08A \u673a\uff09\u4e0e\u5907\u4efd\u5de5\u4f5c\u7ad9\uff08B \u673a\uff09\u5728\u540c\u4e00\u4e2a\u7269\u7406\u7fa4\u96c6\u4e2d\u540c\u65f6\u8fd0\u884c\u3001\u540c\u65f6\u63a5\u6536\u76f8\u540c\u7684\u8ffd\u8e2a\u6570\u636e\uff0c\u5e76\u5728\u80cc\u666f\u4e2d\u5e76\u53d1\u6e32\u67d3\u5b8c\u5168\u76f8\u540c\u7684\u753b\u9762<\/span>\u3002 \u4e24\u8def 4K 60fps \u89c6\u9891\u4fe1\u53f7\u4ee5\u786c\u540c\u6b65\u72b6\u6001\uff0c\u6e90\u6e90\u4e0d\u65ad\u5730\u9001\u5165\u5e7f\u64ad\u7ea7\u786c\u4ef6\u77e9\u9635\uff08Matrix Switcher\uff09\u3002<\/p>\n

    2. \u6beb\u79d2\u7ea7\u5fc3\u8df3\u4fa6\u6d4b\uff08Heartbeat Telemetry\uff09<\/h3>\n

    Aximmetry \u7684\u7fa4\u96c6\u4e2d\u63a7\u8f6f\u4ef6\u4ee5\u00a0\u6bcf\u79d2 200 \u6b21\uff085ms \u95f4\u9694\uff09<\/span>\u00a0\u7684\u9891\u7387\uff0c\u5411\u6240\u6709\u8fd0\u884c\u8282\u70b9\u53d1\u9001\u9ad8\u9891\u5fc3\u8df3\u4fa6\u6d4b\u5305\u3002 \u7cfb\u7edf\u4e0d\u4ec5\u76d1\u63a7\u786c\u4ef6\u7684\u7f51\u7edc\u8fde\u901a\u6027\uff0c\u8fd8\u6df1\u5ea6\u5b9e\u65f6\u76d1\u6d4b GPU \u7684\u5185\u6838\u6e29\u5ea6\u3001\u663e\u5b58\u5360\u7528\u7387\uff08VRAM Limit\uff09\u4ee5\u53ca\u5f53\u524d\u5e27\u6e32\u67d3\u65f6\u95f4\uff08Frame Time\uff09\u3002<\/p>\n

    3. 0 \u5e27\u4e22\u5931\u77ac\u65f6\u5207\u6d41\uff08Glitch-Free Frame Failover\uff09<\/h3>\n

    \u4e00\u65e6\u4fa6\u6d4b\u5230 A \u673a\u51fa\u73b0\u4efb\u4f55\u786c\u4ef6\u5f02\u5e38\uff08\u5982\u6e32\u67d3\u65f6\u95f4\u7a81\u589e\u3001\u5373\u5c06\u6389\u5e27\uff09\uff0cAximmetry \u4e2d\u63a7\u4f1a\u5728\u6781\u5176\u77ed\u6682\u7684\u5782\u76f4\u7a7a\u767d\u671f\uff08VBI\uff09\u5185<\/span>\uff0c\u5411\u5916\u90e8\u786c\u4ef6\u77e9\u9635\u4e0b\u8fbe\u5207\u6362\u6307\u4ee4\u3002 \u7cfb\u7edf\u5728 1 \u5e27\uff0816.6 \u6beb\u79d2\uff09\u7684\u5fae\u5c0f\u7a7a\u9699\u5185\uff0c\u5b8c\u6210\u4e86\u4ece A \u673a\u8f93\u51fa\u4fe1\u53f7\u5230 B \u673a\u70ed\u5907\u4fe1\u53f7\u7684\u65e0\u635f\u66ff\u6362\u3002 \u5bf9\u4e8e\u64ad\u51fa\u7aef\u7684\u89c2\u4f17\u3001\u751a\u81f3\u662f\u73b0\u573a\u6b63\u5728\u62cd\u6444\u7684\u7535\u5f71\u673a\u800c\u8a00\uff0c\u6574\u5757 LED \u5899\u9762\u548c\u6700\u7ec8\u5408\u6210\u753b\u9762\u6ca1\u6709\u53d1\u751f\u54ea\u6015 1 \u50cf\u7d20\u7684\u6296\u52a8\u3001\u4e22\u5e27\u6216\u8272\u5f69\u53d8\u5316\u3002<\/p>\n

    \u8fd9\u4e00\u5957\u201c\u786c\u6838\u76fe\u724c\u201d\uff0c\u5c06\u73b0\u573a\u76f4\u64ad\u7684\u6280\u672f\u98ce\u9669\u964d\u5230\u4e86\u7269\u7406\u5b66\u4e0a\u7684\u7edd\u5bf9\u6700\u4f4e\u70b9\u3002<\/p>\n

    \"\"<\/p>\n

    \n

    \u7ed3\u8bed\uff1a\u8ba9\u6d69\u701a\u7b97\u529b\u65e0\u7f1d\u51dd\u805a<\/h2>\n

    \u5728\u5927\u578b\u865a\u62df\u5236\u7247\u7684\u89c6\u89c9\u4ea4\u54cd\u4e50\u4e2d\uff0c\u5206\u5e03\u5f0f\u7fa4\u96c6\u6e32\u67d3\u5c31\u662f\u90a3\u53f0\u7531\u6570\u5341\u79cd\u4e50\u5668\u7ec4\u6210\u7684\u5e9e\u5927\u7ba1\u5f26\u4e50\u961f\u3002 \u5982\u679c\u6ca1\u6709\u6781\u81f4\u3001\u4e25\u82db\u7684\u6307\u6325\uff08\u65f6\u949f\u540c\u6b65\uff09\u4e0e\u7a33\u56fa\u7684\u4e50\u8c31\u5206\u53d1\uff08\u72b6\u6001\u540c\u6b65\uff09\uff0c\u518d\u6602\u8d35\u7684\u4e50\u5668\u7ec4\u5728\u4e00\u8d77\uff0c\u4e5f\u53ea\u4f1a\u6f14\u594f\u51fa\u5608\u6742\u3001\u6495\u88c2\u7684\u523a\u8033\u566a\u58f0\u3002<\/p>\n

    \u865a\u5e7b\u5f15\u64ce 5 \u8d4b\u4e88\u4e86\u6211\u4eec\u521b\u9020\u65e0\u8fb9\u6570\u5b57\u795e\u8ff9\u7684\u753b\u7b14\uff0c\u4f46\u5b83\u5e95\u5c42\u7684\u8f6f\u4ef6\u548c\u7f51\u7edc\u903b\u8f91\uff0c\u65e0\u6cd5\u5728\u6ca1\u6709\u4e13\u4e1a\u5e7f\u64ad\u7ea7\u63a7\u5236\u5668\u7684\u652f\u6491\u4e0b\uff0c\u72ec\u7acb\u7ef4\u6301\u8d85\u5927\u578b\u7fa4\u96c6\u5728\u5343\u500d\u538b\u529b\u4e0b\u7684\u521a\u6027\u65f6\u7a7a\u79e9\u5e8f\u3002<\/p>\n

    Aximmetry<\/span>\u00a0\u7684\u771f\u6b63\u5e95\u6c14\uff0c\u6b63\u662f\u5b83\u5728\u5206\u5e03\u5f0f\u7b97\u529b\u5927\u540e\u65b9\uff0c\u626e\u6f14\u4e86\u90a3\u4f4d\u201c\u4e0d\u53ef\u52a8\u6447\u7684\u8d85\u7ea7\u6307\u6325\u5bb6\u201d<\/span>\u3002<\/p>\n

    \u5b83\u5728\u7cfb\u7edf\u5c42\u7528 PTP \u548c\u786e\u5b9a\u6027\u5e8f\u5217\u5316\u9501\u6b7b\u4e86\u903b\u8f91\u8fd0\u884c\uff0c\u5728 GPU \u5e95\u5c42\u7528\u786c\u4ef6\u4ea4\u6362\u5c4f\u969c\u71a8\u5e73\u4e86\u50cf\u7d20\u6495\u88c2\uff0c\u5728\u64ad\u51fa\u94fe\u8def\u4e0a\u7528\u53cc\u6d3b\u70ed\u5907\u7ba1\u7ebf\u634d\u536b\u4e86\u201c\u96f6\u5931\u8bef\u201d\u7684\u884c\u4e1a\u5c0a\u4e25\u3002 \u6b63\u662f\u56e0\u4e3a\u6709\u4e86 Aximmetry \u8fd9\u5957\u5c06\u7b97\u529b\u7262\u7262\u9501\u5165\u65f6\u7a7a\u94c1\u7b3c\u7684\u5206\u5e03\u5f0f\u7fa4\u96c6\u540c\u6b65\u6280\u672f\uff0c\u6570\u5b57\u4e16\u754c\u90a3\u539f\u672c\u72c2\u66b4\u3001\u65e0\u5e8f\u7684\u8d85\u5927\u89c4\u6a21\u7b97\u529b\uff0c\u624d\u5f97\u4ee5\u5728\u5343\u5bb6\u4e07\u6237\u7684\u8367\u5e55\u524d\uff0c\u878d\u6c47\u6210\u4e00\u5e45\u4e1d\u6ed1\u6d41\u7545\u3001\u575a\u4e0d\u53ef\u6467\u7684\u89c6\u89c9\u4e30\u7891\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u5728\u8d85\u5927\u578b LED \u865a\u62df\u5236\u7247\uff08ICVFX\uff09\u548c\u6c89\u6d78\u5f0f\u5de8\u5e55\u821e\u53f0\u7684\u73b0\u573a\uff0c\u5355\u4e2a GPU \u7684\u7b97\u529b\u5f80\u5f80\u4f1a\u5728\u6d77\u91cf\u50cf\u7d20\u9762\u524d\u6349\u895f\u89c1 […]<\/p>\n","protected":false},"author":1,"featured_media":805,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-804","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aximmetry-study"],"_links":{"self":[{"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/posts\/804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/comments?post=804"}],"version-history":[{"count":0,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/posts\/804\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/media\/805"}],"wp:attachment":[{"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/media?parent=804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/categories?post=804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aximmetrycn.com\/zh_cn\/wp-json\/wp\/v2\/tags?post=804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}