Why it matters
TensorRT-LLM often fastest on NVIDIA. Understanding enables optimal NVIDIA deployment.
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The architecture
Model compilation: convert model to TensorRT engine. Optimizations baked in.
Runtime: efficient serving.
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How it works end to end
Quantization: FP8, INT8, INT4 with post-training or QAT.
Tensor parallel + pipeline parallel across GPUs.
Speculative decoding + Medusa integration.
Triton Inference Server integration for serving.