DEVELOPER BLOG

Tag: RAPIDS

Data Science

Build a Fully Interactive Dashboard in a Few Lines of Python

Work continues on improving the UX and capabilities of our GPU cross-filter dashboard library, cuxfilter. Here is a quick recap of its latest features. 2 MIN READ
Data Science

Advancing the State of the Art in AutoML, Now 10x Faster with NVIDIA GPUs and RAPIDS

At GTC 21, AWS shared how the combination of AutoGluon, RAPIDS, and NVIDIA GPU computing simplifies achieving state-of-the-art ML accuracy… 16 MIN READ
Data Science

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

Custom “row-by-row” processing logic (sometimes called sequential User-Defined Functions) is prevalent in ETL workflows. The sequential nature of UDFs makes… 3 MIN READ
AI / Deep Learning

Clara Train 4.0 Upgrades to MONAI and supports FL with Homomorphic Encryption

NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML… 2 MIN READ
Data Science

An End-to-End Blueprint for Customer Churn Modeling and Prediction-Part 3

Editor's Note: Get notified and be the first to download our real-world blueprint once it's available. This is the third installment in a series describing an… 12 MIN READ
Data Science

Scaling-out RAPIDS cuML and XGBoost with Dask on Google Kubernetes Engine (GKE)

This guide will walk through how to easily train cuML models on multi-node, multi-GPU (MNMG) clusters managed by Google’s Kubernetes Engine (GKE) platform. 14 MIN READ