Data Analytics / Processing

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

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

Oct 15, 2024

Train Highly Accurate LLMs with the Zyda-2 Open 5T-Token Dataset Processed with NVIDIA NeMo Curator

Open-source datasets have significantly democratized access to high-quality data, lowering the barriers of entry for developers and researchers to train...

5 MIN READ

NVIDIA NeMo Curator icon on a purple background.

Oct 04, 2024

Just Released: NVIDIA NeMo Curator Improvements for Accelerating Data Curation

NeMo Curator now supports images, enabling you to process data for training accurate generative AI models.

1 MIN READ

Sep 17, 2024

Polars GPU Engine Powered by RAPIDS cuDF Now Available in Open Beta

Today, Polars released a new GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs, allowing data scientists to process...

4 MIN READ

Aug 30, 2024

Accelerating Predictive Maintenance in Manufacturing with RAPIDS AI

The International Society of Automation (ISA) reports that 5% of plant production is lost annually due to downtime. Putting that into a different context,...

12 MIN READ

Aug 29, 2024

Just Released: RAPIDS 24.08

RAPIDS 24.08 is now available with significant updates geared towards processing larger workloads and seamless CPU/GPU interoperability.

1 MIN READ

Aug 09, 2024

RAPIDS cuDF Unified Memory Accelerates pandas up to 30x on Large Datasets

NVIDIA has released RAPIDS cuDF unified memory and text data processing features that help data scientists continue to use pandas when working with larger and...

6 MIN READ

An image of the GB200 NVL72 and NVLink spine.

Mar 18, 2024

NVIDIA GB200 NVL72 Delivers Trillion-Parameter LLM Training and Real-Time Inference

What is the interest in trillion-parameter models? We know many of the use cases today and interest is growing due to the promise of an increased capacity for:...

9 MIN READ

Dec 15, 2023

Streamline ETL Workflows with Nested Data Types in RAPIDS libcudf

Nested data types are a convenient way to represent hierarchical relationships within columnar data. They are frequently used as part of extract, transform,...

10 MIN READ

Nov 06, 2023

ICYMI: Leveraging the Power of GPUs with CuPy in Python

See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.

1 MIN READ

Oct 10, 2023

Event: AI and Data Science Virtual Summit

Meta, NetworkX, Fast.ai, and other industry leaders share how to gain new insights from your data with emerging tools.

1 MIN READ

Sep 06, 2023

GPUs for ETL? Optimizing ETL Architecture for Apache Spark SQL Operations

Extract-transform-load (ETL) operations with GPUs using the NVIDIA RAPIDS Accelerator for Apache Spark running on large-scale data can produce both cost savings...

8 MIN READ

A US map showing different colors representing data visualization.

Jul 17, 2023

New Video: Visualizing Census Data with RAPIDS cuDF and Plotly Dash

Gathering business insights can be a pain, especially when you're dealing with countless data points. It’s no secret that GPUs can be a time-saver for...

2 MIN READ

Jul 17, 2023

GPUs for ETL? Run Faster, Less Costly Workloads with NVIDIA RAPIDS Accelerator for Apache Spark and Databricks

We were stuck. Really stuck. With a hard delivery deadline looming, our team needed to figure out how to process a complex extract-transform-load (ETL) job on...

7 MIN READ

Jul 13, 2023

Whole Slide Image Analysis in Real Time with MONAI and RAPIDS

Digital pathology slide scanners generate massive images. Glass slides are routinely scanned at 40x magnification, resulting in gigapixel images. Compression...

11 MIN READ