Ruixiang Wang

Ruixiang Wang is a senior developer technology engineer for LLMs and generative AI at NVIDIA. His current focus is on optimizing AI workloads, including both training and inference, to achieve speed of the light performance on NVIDIA accelerators. He has a strong background in Machine Learning, Deep Learning, NLP, and LLMs. He also assists partners in leveraging the best of NVIDIA's technologies for their AI workloads. He holds an MSc degree in Computer Science from RWTH Aachen University.
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Posts by Ruixiang Wang

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Edge Computing Jun 09, 2026

Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines with NVIDIA TensorRT

Converting a quantized checkpoint into an NVIDIA TensorRT engine bridges the gap between model optimization and production deployment, enabling faster... 10 MIN READ
Edge Computing May 07, 2026

Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

Model quantization is an effective method to reduce VRAM usage and improve inference performance on consumer devices such as NVIDIA GeForce RTX GPUs. By... 8 MIN READ
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Edge Computing Nov 24, 2025

Model Quantization: Concepts, Methods, and Why It Matters

AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address... 12 MIN READ