Before you install Milvus, check your hardware and software to see if they meet the requirements.
|CPU instruction set||
||Vector similarity search and index building within Milvus require CPU's support of single instruction, multiple data (SIMD) extension sets. Ensure that the CPU supports at least one of the SIMD extensions listed. See CPUs with AVX for more information.|
||The size of RAM depends on the data volume.|
|Hard drive||SATA 3.0 SSD or higher||NVMe SSD or higher||The size of hard drive depends on the data volume.|
It is recommended that you run the Kubernetes cluster on Linux platforms.
kubectl is the command-line tool for Kubernetes. Use a kubectl version that is within one minor version difference of your cluster. Using the latest version of kubectl helps avoid unforeseen issues.
minikube is required when running Kubernetes cluster locally. minikube requires Docker as a dependency. Ensure that you install Docker before installing Milvus using Helm. See Get Docker for more information.
||See Helm Docs for more information.|
|etcd||3.5.0||See additional disk requirements.|
Disk performance is critical to etcd. It is highly recommended that you use local NVMe SSDs. Slower disk reponse may cause frequent cluster elections that will eventually degrade the etcd service.
To test if your disk is qualified, use fio.
mkdir test-data fio --rw=write --ioengine=sync --fdatasync=1 --directory=test-data --size=2200m --bs=2300 --name=mytest
Ideally, your disk should reach over 500 IOPS and below 10ms for the 99th percentile fsync latency. Read the etcd Docs for more detailed requirements.