Chris Hebert

Chris Hebert has worked with real-time rendering and data visualization for 20 years across the gaming and pro-viz industries. He has worked with algorithm development for path rendering, fluid simulation, and generative AI. Chris joined NVIDIA in March 2015 and now specializes in optimizing generative AI models.
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Posts by Chris Hebert

Series image with part 7 caption.
Content Creation / Rendering

End-to-End AI for NVIDIA-Based PCs: Optimizing AI by Transitioning from FP32 to FP16

This post is part of a series about optimizing end-to-end AI. The performance of AI models is heavily influenced by the precision of the computational resources... 4 MIN READ
Content Creation / Rendering

End-to-End AI for NVIDIA-Based PCs: ONNX and DirectML

This post is part of a series about optimizing end-to-end AI. While NVIDIA hardware can process the individual operations that constitute a neural network... 14 MIN READ
End-to-end AI series Part 1
Content Creation / Rendering

End-to-End AI for NVIDIA-Based PCs: An Introduction to Optimization

This post is the first in a series about optimizing end-to-end AI. The great thing about the GPU is that it offers tremendous parallelism; it allows you to... 9 MIN READ
Simulation / Modeling / Design

Designing Deep Learning Applications with NVIDIA Nsight Deep Learning Designer

NVIDIA Nsight Deep Learning Designer is a new tool that helps ease the process of performant model design. DL Designer provides valuable insights into the... 11 MIN READ
Data Science

Accelerating WinML and NVIDIA Tensor Cores

Figure 1. TensorCores. Every year, clever researchers introduce ever more complex and interesting deep learning models to the world. There is of course a big... 13 MIN READ