1. Disk Baseline Testing 1.1 4k Random Write 1 2 3 4 5 6 7 8 9 10 11 12 13 14 fio \ --name=4k_randwrite \ --rw=randwrite \ --bs=4k \ --ioengine=libaio \ --direct=1 \ --numjobs=8 \ --iodepth=32 \ --size=20G \ --time_based \ --runtime=120 \ --group_reporting \ --allow_mounted_write=1 \ --filename=/data1/fio-4k-randwrite.dat 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Starting 8 processes 4k_randwrite: Laying out IO file (1 file / 20480MiB) Jobs: 8 (f=8): [w(8)][100.

1. Installing the Driver Download the driver Go to https://www.nvidia.com/en-us/drivers/ and select the corresponding driver version to download. 1 wget https://us.download.nvidia.com/XFree86/Linux-x86_64/580.76.05/NVIDIA-Linux-x86_64-580.76.05.run Install the driver 1 bash NVIDIA-Linux-x86_64-580.76.05.run Check the GPUs 1 nvidia-smi 1 2 3 GPU 0: NVIDIA GeForce RTX 5090 (UUID: GPU-92fcdc58-4754-73c7-af6c-56740936817d) GPU 1: NVIDIA GeForce RTX 5090 (UUID:

1. Installing Dependencies MindCluster ToolBox is a system-level toolset for cluster operations and hardware management, mainly used for operations such as device monitoring, performance testing, and log collection. MindCluster ToolBox includes the Ascend DMI tool, the log collection tool, and the Ascend Cert tool. MindCluster ToolBox works by calling low-level DCMI (Device Control Management Interface) and AscendCL (Ascend Computing Language) interfaces to perform the relevant detection functions; system-level information queries are implemented by calling the general-purpose libraries provided by the system.

1. Hardware Tests There are two NVMe SSDs (SAMSUNG MZQL27T6HBLA-00A07) and a 3FS cluster made up of two nodes, each with 4 IB ports. 1.1 Single Thread Disk FIO 128 K, read 1 fio -numjobs=1 -fallocate=none -iodepth=2 -ioengine=libaio -direct=1 -rw=read -bs=128K --group_reporting -size=100M -time_based -runtime=30 -name=fio-test -directory=/data/fio 1 Jobs: 1

1. Jindo Mounting S3 Set the environment variables 1 2 3 4 export ENDPOINT=obs.ap-southeast-3.myhuaweicloud.com export BUCKET= export AK= export SK= Create the credentials 1 2 3 4 5 6 7 8 9 10 kubectl apply -f - <<EOF apiVersion: v1 kind: Secret metadata: name: mys3secret type: Opaque stringData: fs.s3.accessKeyId: ${AK} fs.