How TensorRT Works: NVIDIA Inference Optimization
Explore TensorRT optimization: layer fusion, INT8 quantization, kernel auto-tuning, and deployment strategies with 8+ interactive visualizations.
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Explore technical articles related to gpu optimization. Find in-depth analysis, tutorials, and insights.
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Kernel Fusion in Deep Learning: How GPU Kernels Are Merged
Kernel fusion merges multiple neural network operations into a single GPU kernel to eliminate intermediate memory writes — this article explains how fusion works, why it helps deep learning workloads, and how TensorRT and torch.compile use it.