canonical / canonical/data-science-stack

Exploration: Use Singularity Containers for DSS

Open
#20 5 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
37
Forks
10
PR merge metrics
No merged PRs in 30d

Description

### Why it needs to get done

For the DSS we want to execute containers. As an alternative to Docker Singularity containers come into play.

### What needs to get done

- Find out how to run GPU workloads with Singularity containers
- Find out how to run Docker containers in Singularity
- Research how run GPU workloads with IntelGPU devices

### When is the task considered done

We have clear understanding if Singularity is our way to deploy GPU workloads.

Contributor guide

Open the contributing guide

Research direction

Start by investigating how Singularity runs GPU workloads, how it executes Docker containers, and how IntelGPU devices are supported. The task is done when there is a clear understanding of whether Singularity is suitable for deploying GPU workloads in the DSS.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker
Domain
infrastructure, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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