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Signed-off-by: Alec <35311602+alec-flowers@users.noreply.github.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Need to reinstall the rdma-core and libibverbs to use RDMA devices.
Also, docker container can be built using a recent version of UCX for
EFA support.
Signed-off-by: Adit Ranadive <aranadive@nvidia.com>

It was removed from the docs in 0.2.1 and replaced with writing a [standalone Python engine](https://github.com/ai-dynamo/dynamo/blob/main/docs/guides/dynamo_run.md#writing-your-own-engine-in-python).

Also remove the associated `dynamo-run` feature `python`.

Releasing this in 0.3.0 will resolve #784 and #1109.

NIXL uses UCX which will have support for EFA since 1.19. Explicitly
use the 1.19 branch for UCX with Dynamo.
Signed-off-by: Adit Ranadive <aranadive@nvidia.com>

vllm and sglang are now the sub-process engines from #954

Also updated docs on doing vllm and sglang multi-gpu (tensor parallel) and multi-node (pipeline parallel).

This reverts commit b5f3fe10.

Signed-off-by: Hongkuan Zhou <tedzhouhk@gmail.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Co-authored-by: Ubuntu <ubuntu@crusoe-prod--inst-2secxwyxeao1mi2dsqk2pl9oaz7.eu-iceland1-a.comp>
Co-authored-by: Hannah Zhang <hannahz@nvidia.com>
Co-authored-by: hongkuanz <hongkuanz@nvidia.com>