Bhoomi Gadhia

Bhoomi Gadhia is a senior product marketing manager at NVIDIA, responsible for the go-to-market strategy and launch of the NVIDIA PhysicsNeMo platform as well as the NVIDIA climate science and Earth-2 initiatives. Previously, she held various marketing roles at leading technology companies such as Ansys and Hexagon MSC Software. Bhoomi resides in California and holds a master’s degree in mechanical engineering.
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Posts by Bhoomi Gadhia

Simulation / Modeling / Design

Develop Physics-Informed Machine Learning Models with Graph Neural Networks

NVIDIA PhysicsNeMo is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine... 6 MIN READ
Simulation / Modeling / Design

Physics-Informed Machine Learning Platform NVIDIA PhysicsNeMo Is Now Open Source

Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including computational... 5 MIN READ
Data Science

Designing Digital Twins with Flexible Workflows on NVIDIA Base Command Platform

NVIDIA Base Command Platform provides the capabilities to confidently develop complex software that meets the performance standards required by scientific... 8 MIN READ
Simulation / Modeling / Design

Reducing Power Plant Greenhouse Gasses Using AI and Digital Twins

A variety of techniques are currently being developed that capitalize on the efficiency of AI to fight against climate change and achieve net-zero carbon... 13 MIN READ
Simulation / Modeling / Design

Enhancing Digital Twin Models and Simulations with NVIDIA PhysicsNeMo v22.09

The latest version of NVIDIA PhysicsNeMo, an AI framework that enables users to create customizable training pipelines for digital twins, climate models, and... 5 MIN READ
Simulation / Modeling / Design

Building Scientifically Accurate Digital Twins Using NVIDIA PhysicsNeMo with NVIDIA Omniverse and AI

From physics-informed neural networks (PINNs) to neural operators, developers have long sought after the ability to build real-time digital twins with... 4 MIN READ