\u90e8\u7f72\u67b6\u6784\u548c\u6700\u4f73\u5b9e\u8df5<\/strong><\/h2>\n

\u5728\u9999\u6e2f\u667a\u7b97\u4e2d\u5fc3\u90e8\u7f72Deepseek\u65f6\uff0c\u7a33\u5065\u7684\u90e8\u7f72\u67b6\u6784\u81f3\u5173\u91cd\u8981\u3002\u4ee5\u4e0b\u56fe\u8868\u4ee3\u8868\u4e86\u4e00\u4e2a\u9ad8\u53ef\u7528\u6027\u8bbe\u7f6e\uff1a<\/p>\n

\r\n# Kubernetes\u90e8\u7f72\u914d\u7f6e\r\napiVersion: apps\/v1\r\nkind: Deployment\r\nmetadata:\r\n  name: deepseek-cluster\r\nspec:\r\n  replicas: 3\r\n  selector:\r\n    matchLabels:\r\n      app: deepseek\r\n  template:\r\n    metadata:\r\n      labels:\r\n        app: deepseek\r\n    spec:\r\n      containers:\r\n      - name: deepseek-container\r\n        image: deepseek\/model:latest\r\n        resources:\r\n          limits:\r\n            nvidia.com\/gpu: 2\r\n          requests:\r\n            memory: \"32Gi\"\r\n            cpu: \"8\"\r\n<\/code><\/pre>\n
\u70ed\u7ba1\u7406\u548c\u80fd\u6e90\u6548\u7387<\/strong><\/h2>\n
\u5728\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u4e2d\u90e8\u7f72Deepseek\u6a21\u578b\u9700\u8981\u5148\u8fdb\u7684\u51b7\u5374\u89e3\u51b3\u65b9\u6848\u3002\u9999\u6e2f\u7684\u6c14\u5019\u4e3a\u667a\u7b97\u4e2d\u5fc3\u51b7\u5374\u5e26\u6765\u4e86\u72ec\u7279\u7684\u6311\u6218\uff0c\u9700\u8981\u4e13\u95e8\u7684\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n
\n
\u76f4\u63a5\u82af\u7247\u6db2\u4f53\u51b7\u5374\u7cfb\u7edf<\/li>\n
AI\u9a71\u52a8\u7684\u70ed\u7ba1\u7406<\/li>\n
\u57fa\u4e8e\u70ed\u533a\u7684\u52a8\u6001\u5de5\u4f5c\u8d1f\u8f7d\u5206\u914d<\/li>\n
\u667a\u80fd\u6c14\u6d41\u4f18\u5316<\/li>\n<\/ul>\n
\u73b0\u4ee3\u670d\u52a1\u5668\u79df\u7528\u63d0\u4f9b\u5546\u6b63\u5728\u5b9e\u65bd\u53ef\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u5f3a\u5ea6\u81ea\u52a8\u8c03\u8282\u7684\u667a\u80fd\u51b7\u5374\u7cfb\u7edf\uff1a<\/p>\n
\r\n# \u51b7\u5374\u7cfb\u7edf\u63a7\u5236\u903b\u8f91\r\nclass ThermalController:\r\n    def __init__(self):\r\n        self.temp_threshold = 75  # \u6444\u6c0f\u5ea6\r\n        self.load_threshold = 0.8  # 80%\u5229\u7528\u7387\r\n\r\n    def adjust_cooling(self, current_temp, gpu_load):\r\n        if current_temp > self.temp_threshold or gpu_load > self.load_threshold:\r\n            return {\r\n                'increase_cooling': True,\r\n                'fan_speed': 'high',\r\n                'liquid_cooling': 'active'\r\n            }\r\n        return {\r\n            'increase_cooling': False,\r\n            'fan_speed': 'normal',\r\n            'liquid_cooling': 'standby'\r\n        }\r\n<\/code><\/pre>\n
\u9762\u5411\u672a\u6765\u7684\u8ba1\u7b97\u57fa\u7840\u8bbe\u65bd<\/strong><\/h2>\n
\u968f\u7740Deepseek\u548c\u7c7b\u4f3c\u7684LLM\u4e0d\u65ad\u53d1\u5c55\uff0c\u667a\u7b97\u4e2d\u5fc3\u5fc5\u987b\u5b9e\u65bd\u524d\u77bb\u6027\u7684\u57fa\u7840\u8bbe\u65bd\u6218\u7565\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u53ef\u6269\u5c55\u76d1\u63a7\u7cfb\u7edf\u7684\u5b9e\u65bd\uff1a<\/p>\n
\r\n# Prometheus\u76d1\u63a7\u914d\u7f6e\r\nscrape_configs:\r\n  - job_name: 'deepseek-metrics'\r\n    static_configs:\r\n      - targets: ['localhost:9090']\r\n    metrics_path: '\/metrics'\r\n    scrape_interval: 15s\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: instance\r\n        regex: '([^:]+)(:[0-9]+)?'\r\n        replacement: '${1}'\r\n<\/code><\/pre>\n
\u7f51\u7edc\u67b6\u6784\u4f18\u5316<\/strong><\/h2>\n
\u9ad8\u6027\u80fd\u670d\u52a1\u5668\u79df\u7528\u8bbe\u65bd\u9700\u8981\u590d\u6742\u7684\u7f51\u7edc\u67b6\u6784\u6765\u6709\u6548\u5904\u7406AI\u5de5\u4f5c\u8d1f\u8f7d\u3002\u8bf7\u8003\u8651\u4ee5\u4e0b\u7f51\u7edc\u5206\u6bb5\u65b9\u6cd5\uff1a<\/p>\n
\n
AI\u8ba1\u7b97\u7f51\u7edc\uff1a100Gbps InfiniBand<\/li>\n
\u7ba1\u7406\u7f51\u7edc\uff1a10Gbps\u4ee5\u592a\u7f51<\/li>\n
\u5b58\u50a8\u7f51\u7edc\uff1a25Gbps\u4ee5\u592a\u7f51<\/li>\n
\u516c\u5171\u8bbf\u95ee\u7f51\u7edc\uff1a\u591a\u4e2a100Gbps\u4e0a\u884c\u94fe\u8def<\/li>\n<\/ul>\n
\u672a\u6765\u8d8b\u52bf\u548c\u5efa\u8bae<\/strong><\/h2>\n
\u9999\u6e2f\u667a\u7b97\u4e2d\u5fc3\u7684AI\u57fa\u7840\u8bbe\u65bd\u6f14\u8fdb\u7ee7\u7eed\u52a0\u901f\u3002\u670d\u52a1\u5668\u79df\u7528\u548c\u670d\u52a1\u5668\u6258\u7ba1\u63d0\u4f9b\u5546\u9700\u8981\u8003\u8651\u7684\u5173\u952e\u4e8b\u9879\u5305\u62ec\uff1a<\/p>\n
\n
\u91cf\u5b50\u5c31\u7eea\u57fa\u7840\u8bbe\u65bd\u7684\u5b9e\u65bd<\/li>\n
\u8fb9\u7f18\u8ba1\u7b97\u96c6\u6210\u4ee5\u964d\u4f4e\u5ef6\u8fdf<\/li>\n
\u7eff\u8272\u8ba1\u7b97\u5021\u8bae<\/li>\n
AI\u5de5\u4f5c\u8d1f\u8f7d\u7684\u9ad8\u7ea7\u5b89\u5168\u534f\u8bae<\/li>\n<\/ul>\n
\u7ed3\u8bba<\/strong><\/h2>\n
Deepseek\u5728\u9999\u6e2f\u667a\u7b97\u4e2d\u5fc3\u7684\u96c6\u6210\u6807\u5fd7\u7740\u670d\u52a1\u5668\u79df\u7528\u548c\u670d\u52a1\u5668\u6258\u7ba1\u670d\u52a1\u53d1\u5c55\u7684\u91cd\u8981\u91cc\u7a0b\u7891\u3002\u968f\u7740AI\u5de5\u4f5c\u8d1f\u8f7d\u53d8\u5f97\u8d8a\u6765\u8d8a\u666e\u904d\uff0c\u667a\u7b97\u4e2d\u5fc3\u5fc5\u987b\u5728\u6280\u672f\u9700\u6c42\u548c\u8fd0\u8425\u6548\u7387\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u667a\u7b97\u4e2d\u5fc3\u7684\u672a\u6765\u5728\u4e8e\u5176\u5728\u4fdd\u6301\u7a33\u5065\u548c\u53ef\u6269\u5c55\u57fa\u7840\u8bbe\u65bd\u7684\u540c\u65f6\u9002\u5e94\u8fd9\u4e9b\u65b0\u5174\u6280\u672f\u7684\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u7406\u89e3Deepseek\u7684\u67b6\u6784\u548c\u8ba1\u7b97\u9700\u6c42 Deepseek\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\u7684\u51fa\u73b0\u4ee3\u8868\u7740AIDC\u8fd0\u8425\u7684\u91cd\u5927\u8f6c\u53d8\uff0c\u7279\u522b\u662f\u5bf9\u9999\u6e2f\u670d\u52a1\u5668\u79df\u7528\u548c\u670d\u52a1\u5668\u6258\u7ba1\u8bbe\u65bd\u800c\u8a00\u3002\u4ece\u6838\u5fc3\u6765\u770b\uff0cDeepseek-7B\u91c7\u7528\u4e86\u590d\u6742\u7684transformer\u67b6\u6784\uff0c\u5728\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u4e2d\u90fd\u9700\u8981\u5927\u91cf\u7684\u8ba1\u7b97\u8d44\u6e90\u3002\u521d\u6b65\u57fa\u51c6\u6d4b\u8bd5\u8868\u660e\uff0c\u6a21\u578b\u8bad\u7ec3\u81f3\u5c11\u9700\u89818\u4e2aNVIDIA A100 GPU\uff0c\u800c\u63a8\u7406\u64cd\u4f5c\u5219\u9700\u8981\u7279\u5b9a\u7684\u786c\u4ef6\u914d\u7f6e\u3002 \u6280\u672f\u89c4\u683c\u548c\u57fa\u7840\u8bbe\u65bd\u9700\u6c42 \u5bf9\u4e8e\u9002\u5e94Deepseek\u90e8\u7f72\u7684\u667a\u7b97\u4e2d\u5fc3\uff0c\u4ee5\u4e0b\u662f\u57fa\u7840\u8bbe\u65bd\u5806\u6808\u7684\u8be6\u7ec6\u5206\u89e3\uff1a # \u6700\u4f4e\u786c\u4ef6\u8981\u6c42 GPU: 8x NVIDIA A100 80GB RAM: 512GB DDR4 \u5b58\u50a8: 2TB NVMe SSD \u7f51\u7edc: 100Gbps InfiniBand # \u63a8\u8350\u7684Docker\u914d\u7f6e “`yaml version: ‘3.8’ services: deepseek: runtime: nvidia image: deepseek\/deepseek-7b:latest environment: – NVIDIA_VISIBLE_DEVICES=all deploy: resources: reservations: devices: – capabilities: [gpu] \u6027\u80fd\u4f18\u5316\u7b56\u7565 \u667a\u7b97\u4e2d\u5fc3\u5fc5\u987b\u5b9e\u65bd\u7279\u5b9a\u7684\u4f18\u5316\u6280\u672f\uff0c\u4ee5\u5728\u4fdd\u6301\u6210\u672c\u6548\u76ca\u7684\u540c\u65f6\u6700\u5927\u5316Deepseek\u7684\u6027\u80fd\u3002\u8ba9\u6211\u4eec\u6765\u770b\u4e00\u4e2a\u8d1f\u8f7d\u5747\u8861\u914d\u7f6e\u7684\u5b9e\u9645\u793a\u4f8b\uff1a # HAProxy\u8d1f\u8f7d\u5747\u8861\u914d\u7f6e global maxconn 4096 defaults mode http timeout […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":3,"featured_media":22526,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[62],"tags":[6675,6673,6674,5975,3421],"class_list":["post-22585","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-sc","tag-data-center-transformation-sc","tag-deepseek-model-sc","tag-hong-kong-ai-data-center-sc","tag-ai-infrastructure-sc","tag-computing-power-sc"],"acf":[],"yoast_head":"\n