Justin Xin

Justin Xin serves as a deep learning algorithms engineer at NVIDIA, where his primary focus is on improving generative AI's inference capabilities through algorithmic and systemic optimization on NVIDIA platforms. He holds a B.Sc. in computer science from the University of Arizona.
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Posts by Justin Xin

Four tiles of city scenes.
Content Creation / Rendering May 14, 2025

NVIDIA TensorRT Unlocks FP4 Image Generation ?for NVIDIA Blackwell GeForce RTX 50 Series GPUs

The launch of the NVIDIA Blackwell platform ushered in a new era of improvements in generative AI technology. At its forefront is the newly launched GeForce RTX... 11 MIN READ
Generative AI Mar 18, 2025

NVIDIA Blackwell Delivers World-Record DeepSeek-R1 Inference Performance

NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over... 14 MIN READ
Generative AI Aug 15, 2024

NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques... 5 MIN READ
Four images compared against three modes for quality.
Generative AI Mar 07, 2024

NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization

In the dynamic realm of generative AI, diffusion models stand out as the most powerful architecture for generating high-quality images with text prompts. Models... 7 MIN READ