1. Product Lines GeForce Aimed at gamers, offering powerful graphics processing capabilities and advanced gaming technologies. Common ones include the NVIDIA GTX series, the high-end RTX series, and the Titan series. Quadro Aimed at the professional market, such as designers, engineers, scientists, and content creators. Common ones include the Quadro P series and the high-end Quadro RTX series.

1. Checking the CPU Check the CPU model 1 lscpu Check the instruction set 1 cat /proc/cpuinfo | grep -iE "flags|instruction set" 2. Checking Memory Memory usage and size 1 free -h Memory module model 1 dmidecode -t memory 3. Checking Disks Check disk mounts 1 lsblk -o NAME,TYPE,SIZE,MODEL,UUID,MOUNTPOINT Check disk usage 1 df -H | grep -vE '^Filesystem|tmpfs|cdrom|loop|udev' | awk '{ print $5 "/" $2 " " $1 }' |grep " "/ Check disk speed 1 hdparm -t /dev/sda3 Check disk temperature and more 1 apt install smartmontools 1 (for disk in /dev/sd?

1. Install the Driver Create the HwHiAiUser user 1 2 groupadd -g 1000 HwHiAiUser useradd -g HwHiAiUser -u 1000 -d /home/HwHiAiUser -m HwHiAiUser -s /bin/bash Add directory permissions 1 2 chown -R HwHiAiUser /usr/local/Ascend chmod -R 755 /usr/local/Ascend Download the driver and firmware Go to https://www.hiascend.ru/hardware/firmware-drivers/community?product=1&model=30&cann=All&driver=1.0.26.alpha to find the matching driver and firmware.

1. What Is npu-smi npu-smi is a command-line tool provided by Huawei, purpose-built for managing and monitoring the status and performance of Huawei Ascend series Neural Processing Units (NPUs), similar to NVIDIA’s nvidia-smi. 2. Meaning of npu-smi Fields 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 npu-smi info +------------------------------------------------------------------------------------------------+ | npu-smi 23.

I have been studying the infrastructure around model training lately, and I found that AI chip interconnect topology determines the scheduling and resource allocation of training cluster jobs. So I spent a little time putting together the common AI chip interconnect solutions. 1. Point-to-Point Interconnect In a traditional PCIe system, data transfer between AI chips goes over PCIe, which cannot meet the demands of large-scale data transfer.