KV Cache Transfer

For general TensorRT-LLM features and configuration, see the Reference Guide.

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

Using NIXL for KV Cache Transfer

Start the disaggregated service: See Disaggregated Serving to learn how to start the deployment.

Default Method: NIXL

By default, TensorRT-LLM uses NIXL (NVIDIA Inference Xfer Library) with UCX (Unified Communication X) as backend for KV cache transfer between prefill and decode workers. NIXL is NVIDIA’s high-performance communication library designed for efficient data transfer in distributed GPU environments.

Specify Backends for NIXL

TensorRT-LLM supports two NIXL communication backends: UCX and LIBFABRIC. By default, UCX is used if no backend is explicitly specified. Dynamo currently only supports the UCX backend, as LIBFABRIC support is still a work in progress. Please do not change the NIXL backend in the Dynamo runtime image.

Alternative Method: UCX

TensorRT-LLM can also leverage UCX (Unified Communication X) directly for KV cache transfer between prefill and decode workers. To enable UCX as the KV cache transfer backend, set cache_transceiver_config.backend: UCX in your engine configuration YAML file.