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.
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Posts by Michael Andersch

Simulation / Modeling / Design

NVIDIA Grace Hopper Superchip Architecture In-Depth

The NVIDIA Grace Hopper Superchip Architecture is the first true heterogeneous accelerated platform for high-performance computing (HPC) and AI workloads. It... 17 MIN READ
Simulation / Modeling / Design

NVIDIA Hopper Architecture In-Depth

Today during the 2022 NVIDIA GTC Keynote address, NVIDIA CEO Jensen Huang introduced the new NVIDIA H100 Tensor Core GPU based on the new NVIDIA Hopper GPU... 36 MIN READ
Data Science

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... 13 MIN READ
Data Science

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