This repository provides information about the OpenStack instance Quansight and MetroStar are providing to conda-forge and other communities.
The main intent of this service is to provide GPU CI to those conda-forge feedstocks that require it. To do so:
conda-forge/admin-requests
README.access/conda-forge-users.json
. Please open a PR to add yourself to the list.If you suspect the server is not operating as expected, please check:
If you think there should be an open incident report but there's none, please open a new issue and tag @Quansight/open-gpu-server so the team can take a look. Thanks!
x86_64
, 32-bit, 64-bitThe server can spin up VMs with the following configurations:
Name | vCPUs | RAM | Disk | GPUs |
---|---|---|---|---|
gpu_tiny |
4 | 2GB | 20GB | 1x NVIDIA Tesla V100 |
gpu_medium |
4 | 8GB | 50GB | 1x NVIDIA Tesla V100 |
gpu_large |
4 | 12GB | 60GB | 1x NVIDIA Tesla V100 |
gpu_xlarge |
8 | 16GB | 60GB | 1x NVIDIA Tesla V100 |
gpu_2xlarge |
8 | 32GB | 60GB | 1x NVIDIA Tesla V100 |
gpu_4xlarge |
8 | 64GB | 60GB | 1x NVIDIA Tesla V100 |
These runners use the ubuntu-2204-nvidia-20230914
image.
Name | vCPUs | RAM | Disk |
---|---|---|---|
ci_medium |
4 | 8GB | 60GB |
ci_large |
4 | 12GB | 60GB |
ci_xlarge |
4 | 32GB | 60GB |
ci_2xlarge |
8 | 32GB | 60GB |
ci_4xlarge |
8 | 64GB | 60GB |
These runners use the ubuntu-2204-20231018
image.
These runners run ISOs derived from Ubuntu 22.04. Images are built with the instructions provided in the images
folder.
This service is provided as is, with no guarantees of uptime or support. If you have any questions, please open an issue in this repository and we'll try our best.