tutor/docs/tutorials/arm64.rst

.. _arm64:

Running Tutor on ARM-based systems
==================================

Tutor can be used on ARM64 systems, and official ARM64 docker images are available starting from Tutor v16.

For older versions of Tutor (v14 or v15), there are several options:

* Use emulation (via qemu or Rosetta 2) to run x86_64 images. Just make sure your installation of Docker supports emulation and use Tutor as normal. This may be 20%-100% slower than native images, depending on the emulation method.
* Use the `unofficial community-maintained ARM64 plugin <https://github.com/open-craft/tutor-contrib-arm64>`_ which will set the required settings for you and which includes unofficial docker images.
* Build your own ARM64 images, e.g. using ``tutor images build openedx permissions`` and/or ``tutor images build openedx-dev`` before launching the LMS.
docs: Document how to run Tutor on ARM-based systems 2021-12-15 20:12:31 +00:00			`.. _arm64:`

docs: Address review comments 2021-12-20 20:28:04 +00:00			`Running Tutor on ARM-based systems`
docs: Document how to run Tutor on ARM-based systems 2021-12-15 20:12:31 +00:00			`==================================`

docs: update ARM tutorial 2023-06-15 19:06:56 +00:00			`Tutor can be used on ARM64 systems, and official ARM64 docker images are available starting from Tutor v16.`
docs: Document how to run Tutor on ARM-based systems 2021-12-15 20:12:31 +00:00
docs: update ARM tutorial 2023-06-15 19:06:56 +00:00			`For older versions of Tutor (v14 or v15), there are several options:`
docs: Document how to run Tutor on ARM-based systems 2021-12-15 20:12:31 +00:00
docs: update ARM tutorial 2023-06-15 19:06:56 +00:00			`* Use emulation (via qemu or Rosetta 2) to run x86_64 images. Just make sure your installation of Docker supports emulation and use Tutor as normal. This may be 20%-100% slower than native images, depending on the emulation method.`
			* Use the `unofficial community-maintained ARM64 plugin <https://github.com/open-craft/tutor-contrib-arm64>`_ which will set the required settings for you and which includes unofficial docker images.
			* Build your own ARM64 images, e.g. using ``tutor images build openedx permissions`` and/or ``tutor images build openedx-dev`` before launching the LMS.