runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04 NOT RUN!
with this: https://console.runpod.io/explore/runpod-torch-v280
RUNNING WITH RTX 4090
I have this error:
create 150GB network volume
create container runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04 Pulling from runpod/pytorch
Digest: sha256:cb154fcca15d1d6ce858cfa672b76505e30861ef981d28ec94bd44168767d853
Status: Image is up to date for runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
start container for runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04: begin
error starting container: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'
nvidia-container-cli: requirement error: unsatisfied condition: cuda>=12.8, please update your driver to a newer version, or use an earlier cuda container: unknown
RUNNING WITH RTX 4090
I have this error:
create 150GB network volume
create container runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04 Pulling from runpod/pytorch
Digest: sha256:cb154fcca15d1d6ce858cfa672b76505e30861ef981d28ec94bd44168767d853
Status: Image is up to date for runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
start container for runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04: begin
error starting container: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'
nvidia-container-cli: requirement error: unsatisfied condition: cuda>=12.8, please update your driver to a newer version, or use an earlier cuda container: unknown
