Deepak Narayanan

Deepak Narayanan is a senior applied deep learning research scientist in the ADLR group at NVIDIA, where he looks at making the training and inference of LLMs faster and more reliable. He holds a PhD in Computer Science from Stanford University.
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Posts by Deepak Narayanan

Image shows cloud-based GPU clusters dedicated to AI training.
Data Center / Cloud Mar 10, 2025

Ensuring Reliable Model Training on NVIDIA DGX Cloud

Training AI models on massive GPU clusters presents significant challenges for model builders. Because manual intervention becomes impractical as job scale... 8 MIN READ
Conversational AI Jul 12, 2024

Train Generative AI Models More Efficiently with New NVIDIA Megatron-Core Functionalities

First introduced in 2019, NVIDIA Megatron-LM sparked a wave of innovation in the AI community, enabling researchers and developers to use the underpinnings of... 11 MIN READ
Conversational AI Apr 12, 2021

Scaling Language Model Training to a Trillion Parameters Using Megatron

Natural Language Processing (NLP) has seen rapid progress in recent years as computation at scale has become more available and datasets have become larger. At... 17 MIN READ