Triton and TensorRT-LLM
Serving custom models with Triton Inference Server and optimised TensorRT-LLM engines.
Lab outcome
Serve a custom model through Triton on OpenShift and show benchmark results with perf_analyzer.
- 01
Overview
When to use Triton/TensorRT-LLM versus a prebuilt NIM.
Coming soon - 02
Triton on OpenShift
Deploy Triton Inference Server and serve a custom ONNX or PyTorch model.
Coming soon - 03
TensorRT-LLM
Build an optimised engine for an open LLM and compare latency and throughput with plain vLLM.
Coming soon - 04
Model ensembles
Chain pre-processing, model and post-processing in one Triton pipeline.
Coming soon