Becca Zandstein

Becca Zandstein is the director of Product Management for Core Math Libraries and HPC at NVIDIA. She has over a decade of experience building devtools and AI/ML products.
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Posts by Becca Zandstein

cuEquivariance expands to accelerate next-gen protein structure models
Models / Libraries / Frameworks

Accelerated Molecular Modeling with NVIDIA cuEquivariance and NVIDIA NIM microservices

The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with... 8 MIN READ
An image representing matrix multiplication.
Generative AI

Boosting Matrix Multiplication Speed and Flexibility with NVIDIA cuBLAS 12.9

The NVIDIA CUDA-X math libraries empower developers to build accelerated applications for AI, scientific computing, data processing, and more.   Two... 8 MIN READ
Photo of a power line against city lights at twilight.
Simulation / Modeling / Design

NVIDIA cuDSS Library Removes Barriers to Optimizing the US Power Grid

In the wake of ever-growing power demands, power systems optimization (PSO) of power grids is crucial for ensuring efficient resource management,... 7 MIN READ
Generative AI

Accelerate Drug and Material Discovery with New Math Library NVIDIA cuEquivariance

AI models for science are often trained to make predictions about the workings of nature, such as predicting the structure of a biomolecule or the properties of... 8 MIN READ