[Doc] Update documentation on Tensorizer (#5471)

docs/source/serving/tensorizer.rst

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+.. _tensorizer:
+
+Loading Models with CoreWeave's Tensorizer
+==========================================
+vLLM supports loading models with `CoreWeave's Tensorizer <https://docs.coreweave.com/coreweave-machine-learning-and-ai/inference/tensorizer>`_.
+vLLM model tensors that have been serialized to disk, an HTTP/HTTPS endpoint, or S3 endpoint can be deserialized
+at runtime extremely quickly directly to the GPU, resulting in significantly
+shorter Pod startup times and CPU memory usage. Tensor encryption is also supported.
+
+For more information on CoreWeave's Tensorizer, please refer to
+`CoreWeave's Tensorizer documentation <https://github.com/coreweave/tensorizer>`_. For more information on serializing a vLLM model, as well a general usage guide to using Tensorizer with vLLM, see
+the `vLLM example script <https://docs.vllm.ai/en/stable/getting_started/examples/tensorize_vllm_model.html>`_.