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大小（建议调至 50 GB 以上，用于存放解包缓存与工作目录）。",[220,597,598,599,424,602,605],{},"启动 Pod。进入 Running 状态后，点击 ",[173,600,601],{},"Connect",[173,603,604],{},"Start Web Terminal"," 打开网页终端。",[220,607,608],{},"粘贴刚才在 danio 主机复制的接入命令并回车。",[220,610,611,612,413],{},"安装脚本会自动装配依赖、注册节点并在后台启动 ",[407,613,614],{},"danio serve",[551,616,618],{"id":617},"在-vastai-部署","在 Vast.ai 部署",[385,620,621,632,642,649,655,666,673],{},[220,622,559,623,627,628,631],{},[209,624,626],{"href":338,"rel":625},[213],"Vast.ai 控制台","（含推广链接），进入 ",[173,629,630],{},"Search"," 筛选页面。",[220,633,634,635,637,638,641],{},"筛选 GPU 为 ",[407,636,323],{},"，建议勾选 ",[173,639,640],{},"Datacenter","（数据中心验证）。",[220,643,644,645,648],{},"设置 ",[173,646,647],{},"Disk Space"," 为 50 GB 以上。",[220,650,651,652,413],{},"镜像模板（Template）选择官方 ",[407,653,654],{},"nvidia\u002Fcuda:12.4.1-runtime-ubuntu22.04",[220,656,657,658,661,662,665],{},"点击 ",[173,659,660],{},"Rent"," 租用。在 ",[173,663,664],{},"Instances"," 列表中等待实例加载完毕。",[220,667,668,669,672],{},"点击该实例的 ",[173,670,671],{},"SSH"," 按钮，复制 SSH 登录命令到本地终端执行连接。",[220,674,675],{},"登录成功后，粘贴 danio 接入命令运行。",[551,677,679],{"id":678},"在-autodl-部署","在 AutoDL 部署",[385,681,682,685,688,691],{},[220,683,684],{},"登录 AutoDL 控制台，选择「算力市场」，租用 RTX 4090 实例。",[220,686,687],{},"基础镜像选择 Ubuntu 22.04，CUDA 12.x。",[220,689,690],{},"实例开机后进入「JupyterLab」或者使用 SSH 终端。",[220,692,693,694,697],{},"粘贴接入命令执行。danio 会自动使用 ",[407,695,696],{},"\u002Froot\u002Fautodl-tmp"," 本地数据盘。",[161,699,701],{"id":700},"步骤-3验证与开始渲染","步骤 3：验证与开始渲染",[166,703,704,705,707],{},"接入成功后，回到主机的 ",[421,706,442],{}," 列表：",[217,709,710,719,734],{},[220,711,712,713,715,716,413],{},"新服务器会显示为 ",[407,714,479],{},"，状态为 ",[421,717,718],{},"在线",[220,720,721,722,726,727,730,731,413],{},"点开设备详情，:ui",[723,724,725],"span",{},"能力"," 中会显示识别出的 Cycles 设备为 ",[173,728,729],{},"OptiX","，显卡名称为 ",[173,732,733],{},"NVIDIA GeForce RTX 4090",[220,735,736,737,740,741,413],{},"如果工作区任务队列中有排队的任务，该节点会立即自动进入 ",[421,738,739],{},"准备中","（拉取 Blender 资源包与所需贴图），随后转为 ",[421,742,743],{},"渲染中",[745,746,749],"callout",{"color":747,"icon":748},"info","i-lucide-shield-check",[166,750,751],{},"云端节点只按需拉取其当前被分配的镜头条目（基于 HTTP Range），渲染完毕后自动将压制好的成片片段上传回 S3 对象存储，并实时向主机回传预览小图。",[161,753,754],{"id":754},"容错与突发中断保障",[166,756,757],{},"租用云端按需或竞价实例时，偶尔会遭遇网络波动或机器被服务商收回：",[217,759,760,766],{},[220,761,762,765],{},[173,763,764],{},"2 分钟租约超时保护","：danio 为每个分配的镜头段赋予 2 分钟动态租约。若某台服务器突发离线中断，租约过期后主机自动把该镜头段移交给其他健康设备，任务不会卡死。",[220,767,768,771,772,775],{},[173,769,770],{},"已渲染帧保护","：在任务详情中点开正在渲染的段，随时可以使用 ",[421,773,774],{},"收回此段…","，勾选“保留已渲染帧”，系统会把该机器上已连续渲染出的帧当场压制为片段保存，只将剩余未完成的帧重新派发给其他机器。",[161,777,778],{"id":778},"渲染完成后的清理与释放",[745,780,783],{"color":781,"icon":782},"warning","i-lucide-triangle-alert",[166,784,785,786,789,790,793,794,413],{},"渲染出来的原始中间帧保存在临时实例本地，实例一旦释放即会销毁。压制好的最终成片和片段完整保存在 S3 存储中，不受释放影响。如果你的项目需要归档原始图片序列，提交前请在 ",[421,787,788],{},"项目"," 中将 ",[421,791,792],{},"输出格式"," 设为 ",[421,795,796],{},"序列打包（.tar）",[166,798,799],{},"当所有镜头渲染完成且成片拼接成功后：",[385,801,802,809,815],{},[220,803,804,805,808],{},"在算力平台（RunPod \u002F Vast.ai）控制台对实例执行 ",[173,806,807],{},"Terminate \u002F Destroy","，停止计费。",[220,810,811,812,814],{},"回到 danio 主机 ",[421,813,442],{}," 页，进入离线服务器的详情卡片。",[220,816,817,818,821,822,825],{},"在最下方先点击 ",[421,819,820],{},"拉黑","，随后按住 ",[421,823,824],{},"移除设备"," 2 秒，清理设备列表。",{"title":827,"searchDepth":828,"depth":829,"links":830},"",2,3,[831,832,833,834,835,836,841,842,843],{"id":163,"depth":828,"text":164},{"id":202,"depth":828,"text":202},{"id":260,"depth":828,"text":260},{"id":383,"depth":828,"text":383},{"id":435,"depth":828,"text":436},{"id":548,"depth":828,"text":549,"children":837},[838,839,840],{"id":553,"depth":829,"text":554},{"id":617,"depth":829,"text":618},{"id":678,"depth":829,"text":679},{"id":700,"depth":828,"text":701},{"id":754,"depth":828,"text":754},{"id":778,"depth":828,"text":778},"在 RunPod、Vast.ai 或 AutoDL 按需租用 RTX 4090 算力节点，用一条命令接入工作区。","md",{},{"icon":34},{"title":31,"description":844},"1XjrS7uz9PDLQ8OhgtcUi3t8HdkZK42B-CUI6RRo6gM",[851,853],{"title":26,"path":27,"stem":28,"description":852,"icon":29,"children":-1},"同事的电脑在局域网里找到工作区，申请加入，按需要提交或渲染。",{"title":36,"path":37,"stem":38,"description":854,"icon":39,"children":-1},"为工作区配置 Cloudflare R2 对象存储：免出网流量费，完美兼容 S3 API，适合跨地域与云端渲染。",1794619223479]