#TensorRT
3 related articles
·2 min
TensorRT Global Performance Tuner: Breaking Past Single-Build-Route Performance Optimization
An analysis of NVIDIA TensorRT Global Performance Tuner: why single build routes can't reach hardware limits, how global tuning turns compilation from manual trial and error into configurable search, and its impact on inference deployment pipelines.
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Tutorials·4 min
NVIDIA Model Optimizer Post-Training Quantization (PTQ) Practical Guide
A deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
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Deep Dives·3 min
AI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
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