- Compatibility with Debian (the Launch Dockerfile uses
apt-getto install Python). - Supported CPU and GPU hardware instruction set (confirm the CUDA version compatibility with the intended GPU).
- Compatibility between the supplied accelerator version and the packages in the machine learning algorithm.
- Installation of packages that require additional steps for hardware compatibility.
What requirements does the accelerator base image have?
For W&B Launch jobs that use an accelerator, provide a base image that includes the necessary accelerator components. This ensures that your job has the required GPU drivers, runtime libraries, and other hardware-specific dependencies to execute. The accelerator image must meet the following requirements:
What permissions does the agent require in Kubernetes?
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