Before you install Milvus, check your hardware and software to see if they meet the requirements.
||Current version of Milvus does not support AMD CPUs.|
|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.|
|macOS 10.14 or later||Docker Desktop||Set the Docker virtual machine (VM) to use a minimum of 2 virtual CPUs (vCPUs) and 8 GB of initial memory. Otherwise, installation might fail.
See Install Docker Desktop on Mac for more information.
||See Install Docker Engine and Install Docker Compose for more information.|
|Windows with WSL 2 enabled||Docker Desktop||We recommend that you store source code and other data bind-mounted into Linux containers in the Linux file system instead of the Windows file system.
See Install Docker Desktop on Windows with WSL 2 backend 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.