Ayush Dattagupta

Ayush Dattagupta is a software engineer on the RAPIDS team at NVIDIA, where he primarily works on accelerating data science workflows on the GPU. Prior to NVIDIA, Ayush received his M.S. degree in Computer Science from UCLA.
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Posts by Ayush Dattagupta

Data Science Dec 20, 2024

Accelerating GPU Analytics Using RAPIDS and Ray

RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries that are well supported for scale-out with distributed engines like Spark and... 4 MIN READ
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Conversational AI Aug 08, 2023

Curating Trillion-Token Datasets: Introducing NVIDIA NeMo Data Curator

The latest developments in large language model (LLM) scaling laws have shown that when scaling the number of model parameters, the number of tokens used for... 8 MIN READ
Data Science Jun 07, 2021

Accelerating Sequential Python User-Defined Functions with RAPIDS on GPUs for 100X Speedups

Motivation Custom “row-by-row” processing logic (sometimes called sequential User-Defined Functions) is prevalent in ETL workflows. The sequential nature of... 3 MIN READ