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我想把nvidia tesla m40卡安装到hp proliant dl380p gen8 p70服务器上。
它不工作, 在DMESG日志中发现以下错误。 [959.113417] NVRM:系统BIOS可能配置错误的GPU。 [959.113461] nvidia:探测0000:24:00.0失败,错误为-1 [959.113482] NVRM:1个设备的NVIDIA探测例程失败。 [959.113483] NVRM:没有初始化NVIDIA图形适配器! [959.113564] nvidia-nvlink:取消注册Nvlink Core,主要设备号245 [959.188166] nvidia-nvlink:Nvlink Core正在初始化,主设备号245 [959.189044] NVRM:分配给NVIDIA设备的此PCI I / O区域无效: NVRM:BAR1为0M @ 0x0(PCI:0000:24:00.0) 服务器操作系统:ubuntu 16.04 LTS 请有人帮我解决这个问题.. 提前致谢 以上来自于谷歌翻译 以下为原文 I`m tring to install nvidia tesla m40 card into hp proliant dl380p gen8 p70 server. its not working, found below error in DMESG log . [ 959.113417] NVRM: The system BIOS may have misconfigured your GPU. [ 959.113461] nvidia: probe of 0000:24:00.0 failed with error -1 [ 959.113482] NVRM: The NVIDIA probe routine failed for 1 device(s). [ 959.113483] NVRM: None of the NVIDIA graphics adapters were initialized! [ 959.113564] nvidia-nvlink: Unregistered the Nvlink Core, major device number 245 [ 959.188166] nvidia-nvlink: Nvlink Core is being initialized, major device number 245 [ 959.189044] NVRM: This PCI I/O region assigned to your NVIDIA device is invalid: NVRM: BAR1 is 0M @ 0x0 (PCI:0000:24:00.0) Server OS: ubuntu 16.04 LTS Please somenone help me resolve this.. Thanks in advance |
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尝试重新配置RBSU / BIOS中的PCIe(mem BAR)地址空间(MMIO)设置(类似“MMIO高于4G”或“高于4G解码”,或“MMIO base”设置为较低值)或删除/禁用其他不必要的添加
- 卡和使用64位操作系统。 HPE RBSU / BIOS存在问题(请参阅类似的问题https://gridforums.nvidia.com/default/topic/298/)。 要检查地址空间要求,请使用“lspci -s 24:00.0 -vv | grep Region”。 PS:Tesla M40用于“深度学习”/ CUDA处理,不适用于GPU / vGPU,您可以查看更多相关论坛https://devtalk.nvidia.com/。 以上来自于谷歌翻译 以下为原文 Try to reconfigure PCIe (mem BAR) address space (MMIO) settings in RBSU/BIOS (something like "MMIO above 4G" or "Above 4G Decoding", or "MMIO base" set to lower value) or remove/disable other unnecessary add-on cards and use 64bit OS. HPE RBSU/BIOS have problems with that (see similar problems https://gridforums.nvidia.com/default/topic/298/). To check address space requirements use "lspci -s 24:00.0 -vv | grep Region". PS: Tesla M40 is for "Deep Learning"/CUDA processing not for GPU/vGPU and you can check more relevant forums https://devtalk.nvidia.com/. |
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