pandas
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
Sep 11, 2024
Scaling Up to One Billion Rows of Data in pandas using RAPIDS cuDF
The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has...
11 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 21, 2024
Build Efficient Recommender Systems with Co-Visitation Matrices and RAPIDS cuDF
Recommender systems play a crucial role in personalizing user experiences across various platforms. These systems are designed to predict and suggest items that...
12 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
May 14, 2024
RAPIDS on Databricks: A Guide to GPU-Accelerated Data Processing
In today's data-driven landscape, maximizing performance and efficiency in data processing and analytics is critical. While many Databricks users are familiar...
10 MIN READ
May 14, 2024
RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab
At Google I/O'24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly...
3 MIN READ
Apr 29, 2024
Top Data Science Sessions from NVIDIA GTC 2024 Now Available On Demand
At GTC 2024, experts from NVIDIA and our partners shared insights about GPU-accelerated tools, optimizations, and best practices for data scientists. From the...
2 MIN READ
Mar 18, 2024
RAPIDS cuDF Accelerates pandas Nearly 150x with Zero Code Changes
At NVIDIA GTC 2024, it was announced that RAPIDS cuDF can now bring GPU acceleration to 9.5M million pandas users without requiring them to change their code....
5 MIN READ
Oct 04, 2023
Analyzing the Security of Machine Learning Research Code
The NVIDIA AI Red Team is focused on scaling secure development practices across the data, science, and AI ecosystems. We participate in open-source security...
12 MIN READ
Sep 08, 2023
Workshop: Fundamentals of Deep Learning
Learn key techniques and tools required to train a deep learning model in this virtual hands-on workshop.
1 MIN READ
Aug 23, 2023
ICYMI: Utilizing GPUs for Machine Learning with RAPIDS
Delve into how TMA Solutions is accelerating original ML and AI workflows with RAPIDS.
1 MIN READ
Aug 04, 2023
ICYMI: Unlocking the Power of GPU-Accelerated DataFrames in Python
Read this tutorial on how to tap into GPUs by importing cuDF instead of pandas–with only a few code changes.
1 MIN READ
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 11, 2023
Accelerated Data Analytics: A Guide to Data Visualization with RAPIDS
Visualization brings data to life, unveiling hidden patterns and insights through accessible visuals, and empowering you and your organization to perceive the...
10 MIN READ
May 19, 2023
Limit Order Book Dataset Generation for Accelerated Short-Term Price Prediction with RAPIDS
In the high-frequency trading world, thousands of market participants interact daily. In fact, high-frequency trading accounts for more than half of the US...
9 MIN READ