As you can see by the image attached, there's an overlay error related to CPU temperature. It's named "TEMP GPU" instead of "TEMP CPU". In this way the TEMP GPU is present 2 times in the overlay. My drivers are 24.4.1. This error is present since 23.12 drivers (if I'm not wr...
NFD(Node Feature Discovery):用于给节点打上某些标签,这些标签包括 cpu id、内核版本、操作系统版本、是不是 GPU 节点等,其中需要关注的标签是nvidia.com/gpu.present=true,如果节点存在该标签,那么说明该节点是 GPU 节点。 GFD(GPU Feature Discovery):用于收集节点的 GPU 设备属性(GPU 驱动版本、GPU型号等),并...
**NFD(Node Feature Discovery)**:用于给节点打上某些标签,这些标签包括 cpu id、内核版本、操作系统版本、是不是 GPU 节点等,其中需要关注的标签是nvidia.com/gpu.present=true,如果节点存在该标签,那么说明该节点是 GPU 节点。 **GFD(GPU Feature Discovery)**:用于收集节点的 GPU 设备属性(GPU 驱动版本、GPU...
But graphics cards are designed to tolerate a higher temperature than the CPU. But that doesn’t mean you can run the GPU at100℃. You may encounter high temp in idle or under load. Then the question is,what is the idle GPU tempthat should be considered safe & what will the value be...
cpu clock with no restriction running at ~3.9ghz and average temp 90º, gpu core clock ~1.6ghz and average temp 72º. custom: cpu clock limited to 3.5ghz and average temp 68º, gpu clock limited to 1.4ghz and voltage limited to 0.7v and average temp 62º. regarding performance,...
cpu_load_value Set the values for medium and high load e.g cpu_load_value=50,90 cpu_mhz Show the CPUs current MHz cpu_powergpu_power Display CPU/GPU draw in watts cpu_tempgpu_tempgpu_junction_tempgpu_mem_temp Display current CPU/GPU temperature cpu_textgpu_text Override CPU and GPU ...
https://youtu.be/tpikyr9adc8 it is not our gpus that are overheating or the problem while gaming, it's the cpu that's overheating. my max temp on the gpu is like around 160f while my max temp on the cpu is 204f 0 if you ask intel they will tell you that the cpu in t...
gpu_temp 显示当前CPU/GPU温度 core_load 显示每个核心的负载和频率 gpu_core_clockgpu_mem_clock 显示GPU核心/内存频率 ramvram 显示系统RAM/VRAM使用情况 full 启用大多数可切换参数(当前不包括histogram) font_size= 可自定义字体大小(默认值=24) font_size_text= 可自定义其他文本(如媒体元数据)的字体大小(...
feature.node.kubernetes.io/cpu-cpuid.ADX=true feature.node.kubernetes.io/system-os_release.ID=...
那么问题来了,一般来说容器就是使用 CPU 和内存资源,那么对于需要使用显卡的 Pod,Kubernetes 也能够支持吗?答案当然是可以啦!目前 Kubernetes 不仅支持容器请求 GPU 资源,还支持请求几块显卡的 GPU 资源,这使得 Kubernetes 在深度学习和区块链等场景下也有了用武之地。