canonical / canonical/data-science-stack
Exploration: Use Singularity Containers for DSS
- 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
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