Michael Andersch

Michael Andersch is a principal GPU architect and senior architecture manager at NVIDIA. He started his career in the Compute Architecture team, where he focused on advancing the GPU's capabilities for the world's diverse set of CUDA workloads. In recent years, Michael has driven both hardware and software improvements specifically to increase the performance of deep neural network training, and his team is now involved wherever training performance is critical; from tuning the latest neural networks in the deep learning community to designing next-generation GPUs.

Posts by Michael Andersch

Technical Walkthrough 3

NVIDIA Hopper Architecture In-Depth

Everything you want to know about the new H100 GPU. 36 MIN READ
Technical Walkthrough 0

Tips for Optimizing GPU Performance Using Tensor Cores

Our most popular question is "What can I do to get great GPU performance for deep learning?" We’ve recently published a detailed Deep Learning Performance Guide… 13 MIN READ
Technical Walkthrough 0

Inference: The Next Step in GPU-Accelerated Deep Learning

Deep learning is revolutionizing many areas of machine perception, with the potential to impact the everyday experience of people everywhere. On a high level… 8 MIN READ