Aastha Jhunjhunwala

Aastha Jhunjhunwala is a Solutions Architect at NVIDIA, focused on building optimized generative AI applications across industries. She works at the intersection of large-scale LLM pretraining, large language model inference, and NVIDIA full-stack generative AI infrastructure. Aastha has helped enterprises scale LLM workflows—from training models with billions of parameters to serving them efficiently with high-throughput inference. Prior to joining NVIDIA, Aastha did her Master's degree in Chemical Engineering from Carnegie Mellon University focusing on Molecular Dynamics and Machine Learning for Drug Discovery.
Aastha Jhunjhunwala

Posts by Aastha Jhunjhunwala

An illustration showing molecules and a brain.
Generative AI

Applying Specialized LLMs with Reasoning Capabilities to Accelerate Battery Research

Scientific research in complex fields like battery innovation is often slowed by manual evaluation of materials, limiting progress to just dozens of candidates... 11 MIN READ
NVIDIA NeMo Curator icon on a purple background.
Generative AI

Streamlining Data Processing for Domain Adaptive Pretraining with NVIDIA NeMo Curator

Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate... 16 MIN READ
Simulation / Modeling / Design

Accelerating GPU Applications with NVIDIA Math Libraries

There are three main ways to accelerate GPU applications: compiler directives, programming languages, and preprogrammed libraries. Compiler directives such as... 12 MIN READ