Comments (2)
@mt-jones I believe you've tackled this in the latest container releases but I defer to you as to if this is resolved or not.
from docker.
This is stale as we no longer rely on a script to setup the workers as far as I know.
from docker.
Related Issues (20)
- [BUG] return error codes aren't checked when the extra package installation fails HOT 4
- [BUG] Bad conda package installs hang container startup
- [BUG] HOT 2
- [BUG] Regression introduced by combination of #250 and # 366 causes entrypoint error if directory mounted to /rapids/notebooks/host
- CUDA : N/A on docker container HOT 6
- [BUG] Docker hub images aren't present HOT 2
- [BUG] Environment not set correctly when using `docker exec` HOT 2
- [FEA] Install RAPIDS libraries in the default conda environment HOT 3
- [FEA] Weekly/monthly stable builds? HOT 8
- [BUG] Missing 'transformers' Dependency HOT 1
- [BUG] NVIDIA Public key rotation HOT 5
- [BUG] Nightly Container start failed with extra conda package HOT 1
- [BUG?] nvcc missing in core image HOT 1
- Update `cudf` build command HOT 1
- [BUG] Basic linux commands (nano, htop) cause segmentation faults in a dev image HOT 1
- [QST] Can we remove old tags HOT 1
- [BUG] rapidsai/rapidsai-core:23.02-cuda11.5-runtime-ubuntu22.04-py3.8 not on github HOT 1
- No nvcc or nvidia-smi in docker HOT 3
- password for jupyterlab daskscheduler and diagserver HOT 5
- Repository overhaul for RAPIDS v23.08 HOT 2
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from docker.