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Learn how to turbocharge deep-learning inference on NVIDIA GPUs with TensorRT on Linux: why it matters (FP16/INT8, layer fusion, kernel tuning), clean installs via apt/dnf/zypper or containers, verification steps, converting/benchmarking ONNX with trtexec, minimal Python runtime, high-impact tuning tips, real-world deployment patterns, and quick troubleshooting—giving you a reproducible path from trained model to production-grade engine.