KV Cache Transfer in Disaggregated Serving

In disaggregated serving architectures, KV cache must be transferred between prefill and decode workers. TensorRT-LLM supports two methods for this transfer:

Default Method: UCX

By default, TensorRT-LLM uses UCX (Unified Communication X) for KV cache transfer between prefill and decode workers. UCX provides high-performance communication optimized for GPU-to-GPU transfers.

Beta Method: NIXL

TensorRT-LLM also supports using NIXL (NVIDIA Inference Xfer Library) for KV cache transfer. NIXL is NVIDIA’s high-performance communication library designed for efficient data transfer in distributed GPU environments.

Note: NIXL support in TensorRT-LLM is currently beta and may have some sharp edges.

Using NIXL for KV Cache Transfer

Note: NIXL version shipped with current dynamo is not supported by tensorrt-llm<=1.2.0rc2. In order to use NIXL backend for KV cache transfer, users are required to build container image with tensorrt-llm>=1.2.0rc3.

To enable NIXL for KV cache transfer in disaggregated serving:

1. Build the container with NIXL support(tensorrt-llm==1.2.0rc3):

   $
   ./container/build.sh --framework trtllm \
   >
     --tensorrtllm-pip-wheel tensorrt-llm==1.2.0rc3

2. Run the containerized environment: See run container section to learn how to start the container image built in previous step.

   Within container, unset TRTLLM_USE_UCX_KVCACHE variable so NIXL can be used instead of UCX.

   $
    unset TRTLLM_USE_UCX_KVCACHE

3. Start the disaggregated service: See disaggregated serving to see how to start the deployment.

4. Send the request: See client section to learn how to send the request to deployment.

Important: Ensure that ETCD and NATS services are running before starting the service.