K8S 运行相同的镜像，配置 32 核/64G/1GPU(2080ti) OOM， 16 核/60G/1GPU(1080ti) 却正常运行？ - V2EX
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fighterhit

K8S 运行相同的镜像，配置 32 核/64G/1GPU(2080ti) OOM， 16 核/60G/1GPU(1080ti) 却正常运行？

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  •   fighterhit Oct 9, 2021 2369 views
    This topic created in 1700 days ago, the information mentioned may be changed or developed.

    K8S 自建集群里运行相同的镜像，当配置 32 核 /64G/1GPU(2080ti) 一创建 Pod 容器就 OOM 了，16 核 /60G/1GPU(1080ti) 却正常运行？为啥会这样呢？

    已知系统和内核版本都一样：

    NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME ai-1080ti-24 Ready 1080ti,training 164d v1.13.5 10.200.0.81 <none> Debian GNU/Linux 9 (stretch) 4.19.0-0.bpo.9-amd64 docker://18.6.2 NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME ai-2080ti-04 Ready 2080ti,training 2y190d v1.13.5 10.90.1.149 <none> Debian GNU/Linux 9 (stretch) 4.19.0-0.bpo.9-amd64 docker://18.6.2

  • GPU
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  • k8s
  • amd64
    5 replies    2021-10-09 17:33:59 +08:00
    hwdef
        1
    hwdef  
       Oct 9, 2021
    具体日志？
    tomczhen
        2
    tomczhen  
       Oct 9, 2021 via Android
    核心数不一样，有一种可能就是程序按核心数初始化，这样核心多的就会比较容易 oom 了。
    td width="auto" valign="top" align="left">
        3
    huluhulu  
       Oct 9, 2021
    核心差太多了，默认 reserve 所有核心的话，应该会占用更多的内存。
    huluhulu
    37Y37
        4
    37Y37  
       Oct 9, 2021
    应该就是核心数的问题，看下 pod 用的是不是宿主的 cpu 核数
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