You have successfully pulled a TensorFlow container from NGC and now need to run it on your stand-alone GPU-enabled server.
Which command should you use to ensure that the container has access to all available GPUs?
Comprehensive and Detailed Explanation From Exact Extract:
When running a GPU-enabled container directly on a server with Docker, the flag --gpus all is required to allow the container access to all GPUs on the host system. This ensures that the TensorFlow container can utilize GPU resources fully. The other options either do not specify GPU access correctly or are Kubernetes-specific commands.
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