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
Dec 20, 2024

NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)...
8 MIN READ
Dec 19, 2024

Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for...
11 MIN READ
Dec 19, 2024

RAPIDS 24.12 Introduces cuDF on PyPI, CUDA Unified Memory for Polars, and Faster GNNs

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up groupby aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the...
8 MIN READ
Dec 18, 2024

Security for Data Privacy in Federated Learning with CUDA-Accelerated Homomorphic Encryption in XGBoost

XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative...
10 MIN READ
Dec 16, 2024

Top Posts of 2024 Highlight NVIDIA NIM, LLM Breakthroughs, and Data Science Optimization

2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to...
4 MIN READ
NVIDIA Data Science Teaching Kit
Dec 12, 2024

NVIDIA Deep Learning Institute Releases New Data Science Teaching Kit for Educators

As data grows in volume, velocity, and complexity, the data science field is booming.  There’s an ever-increasing demand for talent and skill sets to...
3 MIN READ
Dec 12, 2024

Harnessing GPU Acceleration for Multi-Label Classification with RAPIDS cuML

Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label....
4 MIN READ
Dec 05, 2024

Unified Virtual Memory Supercharges pandas with RAPIDS cuDF

cuDF-pandas, introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x...
5 MIN READ
Image shows a 3D molecular structure of a protein, most likely an antibody, visualized using a ribbon diagram, with the classic Y-shaped configuration characteristic of antibodies.
Dec 03, 2024

In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range...
6 MIN READ
Nov 28, 2024

Supercharging Deduplication in pandas Using RAPIDS cuDF

A common operation in data analytics is to drop duplicate rows. Deduplication is critical in Extract, Transform, Load (ETL) workflows, where you might want to...
12 MIN READ
Nov 21, 2024

Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask

As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis...
5 MIN READ
Nov 18, 2024

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
Nov 18, 2024

Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI

AI has proven to be a force multiplier, helping to create a future where scientists can design entirely new materials, while engineers seamlessly transform...
11 MIN READ
A photo of two GPU clusters and another picture of four scientific computing workflows demonstrating computational fluid dynamics.
Nov 18, 2024

Effortlessly Scale NumPy from Laptops to Supercomputers with NVIDIA cuPyNumeric

Python is the most common programming language for data science, machine learning, and numerical computing. It continues to grow in popularity among scientists...
12 MIN READ
Nov 14, 2024

Faster Causal Inference on Large Datasets with NVIDIA RAPIDS

As consumer applications generate more data than ever before, enterprises are turning to causal inference methods for observational data to help shed light on...
4 MIN READ