On Apple Silicon#
If you own a MacOS device with an Apple Silicon M1/M2 chip, you can run Jina natively on it (instead of running under Rosetta) and enjoy up to 10x faster performance. This chapter summarizes how to install Jina.
Check terminal and device#
To make sure you are using the right terminal, run
and it should return
brew is a package manager for macOS. If you already install it you need to confirm it is actually installed for Apple Silicon not for Rosetta. To check that, run
If you find it is installed under
/usr/local/ instead of
/opt/homebrew/, it means your
brew is installed for Rosetta not for Apple Silicon. You need to reinstall it. Here is an article on how to do it.
brew can be a destructive operation. Please make sure you have backed up your data before proceeding.
To (re)install brew, run
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
You may want to observe the output to check if it contains
/opt/homebrew to make sure you are installing for Apple Silicon.
Python has to be installed for Apple Silicon as well. It is possible it is installed for Rosetta, and you are not aware of that. To confirm, run
import platform platform.machine()
which should give
If not, then you are using Python under Rosetta, and you need to install Python for Apple Silicon with
brew install python3
As of Aug 2022, this will install Python 3.10 natively for Apple Silicon.
Make sure to note down where
pip are installed to. In this example, they are installed to
Install dependencies wheels#
There are some core dependencies that Jina needs to run, whose wheels are not available on PyPI but fortunately are available on wheel. To install them, run
brew install protobuf numpy
Now we can install Jina via
pip. Note you need to use the right one:
/opt/homebrew/opt/[email protected]/libexec/bin/pip install jina
grpcio requires building the wheels, it will take some time.
After all the dependencies are installed, you can run Jina CLI and check the system information.
- jina 3.7.14 - docarray 0.15.4 - jcloud 0.0.35 - jina-hubble-sdk 0.16.1 - jina-proto 0.1.13 - protobuf 3.20.1 - proto-backend python - grpcio 1.47.0 - pyyaml 6.0 - python 3.10.6 - platform Darwin - platform-release 21.6.0 - platform-version Darwin Kernel Version 21.6.0: Sat Jun 18 17:07:28 PDT 2022; root:xnu-8020.140.41~1/RELEASE_ARM64_T8110 - architecture arm64 - processor arm - uid 94731629138370 - session-id 49497356-254e-11ed-9624-56286d1a91c2 - uptime 2022-08-26T16:49:28.279723 - ci-vendor (unset) * JINA_DEFAULT_HOST (unset) * JINA_DEFAULT_TIMEOUT_CTRL (unset) * JINA_DEPLOYMENT_NAME (unset) * JINA_DISABLE_UVLOOP (unset) * JINA_EARLY_STOP (unset) * JINA_FULL_CLI (unset) * JINA_GATEWAY_IMAGE (unset) * JINA_GRPC_RECV_BYTES (unset) * JINA_GRPC_SEND_BYTES (unset) * JINA_HUB_NO_IMAGE_REBUILD (unset) * JINA_LOG_CONFIG (unset) * JINA_LOG_LEVEL (unset) * JINA_LOG_NO_COLOR (unset) * JINA_MP_START_METHOD (unset) * JINA_OPTOUT_TELEMETRY (unset) * JINA_RANDOM_PORT_MAX (unset) * JINA_RANDOM_PORT_MIN (unset)
Congratulations! You have successfully installed Jina on Apple Silicon.
To install MPS-enabled PyTorch, run
/opt/homebrew/opt/[email protected]/libexec/bin/pip install -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu