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frequently-asked-questions.md

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Answers to popular questions about Golem's VM runtime and how to create images for it

Frequently asked questions

Why is it necessary to convert from a Docker image to .gvmi?

The most important reason for this is to reduce the size of the image being transferred. When converting to .gvmi all redundant layers from the Docker image are discarded and the filesystem itself gets compressed using squashfs.

This results in a substantial size difference between the two images. For example, as of the time of writing this answer, the Docker image built as part of Creating a Docker image article is about 650 MB in disk size. After conversion, the resulting .gvmi file weighs around 50 MB. That's a 13x size difference!

But why do we need this? Most importantly, to reduce the setup time for providers downloading a new image. If a provider node does not have the specific image in their cache yet then it will need to download it as the first step to performing some computations.

Are there any requirements when preparing a Dockerfile for Golem's VM runtime?

There is only one strict requirement: at least one volume directory must be specified using the VOLUME command.

Besides the above a number of commands are currently not supported by gvmkit-build converter. These are:

  • CMD
  • ENTRYPOINT
  • ENV
  • PORTS

When building my image I copied some files to one of the volumes. Why can't I see them when I run the image?

When a .gvmi image is started by the VM runtime, an empty host directory is mounted under each of its directories declared as volumes (VOLUME command in the Dockerfile).

If there was anything stored in the image under the volume directory it gets "shadowed" by the mounted host directory.

My VM has run out of storage space while running, why is that?

In a running Golem VM, the storage space outside of volumes (declared through Docker's VOLUME command) is limited to 128 MB of size stored in RAM using tmpfs.

This only applies to files created once the VM is running. Anything that was included in the image during the build process stays available (the VM's filesystem is an overlay).

Any larger files and chunks of data should be transferred to the VM's volumes. Since these directories are mounted from the host operating system they are only limited by the provider's storage space.

I cannot reproduce a problem when I run the Docker image locally. What should I do?

In general, it's better to test the .gvmi image itself rather than the base Docker image. This guarantees that all Golem-specific conditions (filesystem characteristics, for example) are included. Also, testing with the VM runtime is as close to the provider's environment as possible.

You can learn more about testing the VM runtime locally in the Testing a Golem image article.

My application's use case requires large files being processed by the providers. How to best approach this?

This is related to the answer given to "My VM has run out of storage space".

There you are two options here:

  1. If the files are static (that is: they are always the same) then you can include them in the VM image itself while building it. You can learn more about that in Creating a Docker image.
  2. If the files are dynamic (that is: they may differ between task executions) then your best option is to transfer the files from the requestor agent. Make sure you use a volume directory as the destination.

Do I have to use Golem Factory's image repository to publish my Golem images?

Golem Factory manages a freely-available repository of Golem images. This repository is the default source of Golem images for Golem tools, libraries and code samples.

Of course, it is possible to publish Golem images via any publicly available URL - although in such scenario:

  • the.gvmi needs to be published and its sha3 hash calculated manually
  • in requestor agent, the image URL must be explicitly specified

Please have a look at a short article that describes the process:

{% content-ref url="self-hosted-vm-images.md" %} self-hosted-vm-images.md {% endcontent-ref %}

Or jump directly to the API reference:

{% embed url="https://yapapi.readthedocs.io/en/latest/api.html#module-yapapi.payload.vm" %}