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A data scientist is looking to utilize a GPU-accelerated version of a machine learning library, gpu_ml, on a Databricks GPU-enabled cluster. What is the most effective method to install this library?
gpu_ml
A
Modify the cluster to utilize the Databricks Runtime for GPU.
B
Include gpu_ml in the cluster's GPU library dependencies.
C
Execute %pip install gpu_ml in any notebook connected to the cluster.
%pip install gpu_ml
D
Configure the PYTHON_GPU_LIB variable in the cluster settings to include gpu_ml.
PYTHON_GPU_LIB
E
GPU-accelerated libraries cannot be installed on a Databricks cluster.