Class StorageConfig (0.1.0)

StorageConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Storage configuration for a model deployment.

Attributes
Name	Description
`model_bucket_uri`	`str` Optional. The Google Cloud Storage bucket URI to load the model from. This URI must point to the directory containing the model's config file (`config.json`) and model weights. A tuned GCSFuse setup can improve LLM Pod startup time by more than 7x. Expected format: `gs://`.
`xla_cache_bucket_uri`	`str` Optional. The URI for the GCS bucket containing the XLA compilation cache. If using TPUs, the XLA cache will be written to the same path as `model_bucket_uri`. This can speed up vLLM model preparation for repeated deployments.

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Last updated 2025-10-27 UTC.

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