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Concise Description:
I'd like to use JAX for distributed training of LLMs. In addition, the new release of Keras supports JAX as a backend in addition to TF.
Describe the solution you'd like
I'd like either a separate JAX container or jaxlib included in a TF container since the TF ecosystem (data loading, serving, etc) supports JAX.
Describe alternatives you've considered
I could install JAX on top of the PyT container.
The text was updated successfully, but these errors were encountered:
Concise Description:
I'd like to use JAX for distributed training of LLMs. In addition, the new release of Keras supports JAX as a backend in addition to TF.
Describe the solution you'd like
I'd like either a separate JAX container or jaxlib included in a TF container since the TF ecosystem (data loading, serving, etc) supports JAX.
Describe alternatives you've considered
I could install JAX on top of the PyT container.
The text was updated successfully, but these errors were encountered: