1. About JuiceFS Caching On a host, warmed cache is placed directly on the host. In a cluster, there are two levels of cache: Worker, which provides cache shared at the cluster level Fuse, which provides cache at the current node level only 2. Warming Data with the JuiceFS Client Note that warming at the Fuse layer is only effective for the current node; if you need to warm the whole cluster, you must warm at the Worker layer.

1. Symptoms Elasticsearch on Kubernetes was restarting frequently, leaving the service almost unusable. During data import, the Pod’s memory usage kept growing Once the Pod’s memory usage approached the Limit, continued importing triggered an abnormal Pod exit, with the error log ERROR: Elasticsearch exited unexpectedly The Pod’s memory usage did not drop; it stayed near the Limit, and before long the Pod exited abnormally again The Elasticsearch Pod’s memory limit was 64GB, while the JVM memory limit was 32GB.

1. Mount a Memory Storage Directory on the Host Create a directory to mount 1 mkdir /mnt/memory_storage Mount the tmpfs filesystem 1 mount -t tmpfs -o size=800G tmpfs /mnt/memory_storage Storage is allocated on demand, so using 100G of storage only consumes 100G of memory. The host node has 2T of memory, and here 800G is allocated to store Elasticsearch data.

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. Storage Tiering and Interconnect 2. Various Storage Types Storage Type Bandwidth Capacity Response Latency Cost per Unit of Storage Storage Principle Use Case CPU L1 Cache 256-512GB/s 32-64KB/core <1ns ~$2000/MB SRAM Closest cache layer to CPU core CPU L2 Cache 64-256GB/s 256KB-2MB/core group 2-5ns ~$1000/MB Partly SRAM, partly embedded DRAM Next-level cache for the CPU CPU L3 Cache 32-128GB/s 4-16MB/CPU 5-15ns ~$100-200/MB Embedded DRAM Last-level cache for the CPU GPU L1 Cache 8-32TB/s 16-96KB/SM <1ns ~$2000/MB SRAM Closest cache layer to GPU core GPU L2 Cache 1-4TB/s 512KB-4MB/SMC 5-15ns ~$500-1000/MB Partly SRAM, partly embedded DRAM Next-level cache for the GPU Main memory (RAM) 10-80GB/s 4-128GB 30-60ns ~$2-7/GB DDR4/5 DRAM System main storage space GPU VRAM 768GB/s-4TB/s 4-24GB 25-75ns ~$7-20/GB GDDR6/6X SDRAM Dedicated high-speed buffer storage for the GPU SSD 500MB/s-7000MB/s 128GB-8TB 0.