cuDF
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
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
Aug 30, 2023
Workshop: Enhancing Data Science Outcomes with Efficient Workflows
Learn to create an end-to-end machine learning pipeline for large datasets with 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
Jun 28, 2023
ICYMI: Exploring Challenges Posed by Biased Datasets Using RAPIDS cuDF
Read about an innovative GPU solution that solves limitations using small biased datasets with RAPIDS cuDF.
1 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
Mar 22, 2023
Reusable Computational Patterns for Machine Learning and Information Retrieval with RAPIDS RAFT
RAPIDS is a suite of accelerated libraries for data science and machine learning on GPUs: cuDF for pandas-like data structures cuGraph for graph data cuML for...
11 MIN READ
Mar 14, 2023
Accelerated Data Analytics: Speed Up Data Exploration with RAPIDS cuDF
This post is part of a series on accelerated data analytics. Digital advancements in climate modeling, healthcare, finance, and retail are generating...
11 MIN READ
Mar 14, 2023
Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF
This post is part of a series on accelerated data analytics. Because it is generally constrained to a single core, a standard exploratory data analysis (EDA)...
9 MIN READ
Oct 17, 2022
Mastering String Transformations in RAPIDS libcudf
Efficient processing of string data is vital for many data science applications. To extract valuable information from string data, RAPIDS libcudf provides...
17 MIN READ
May 27, 2022
Boosting Data Ingest Throughput with GPUDirect Storage and RAPIDS cuDF
If you work in data analytics, you know that data ingest is often the bottleneck of data preprocessing workflows. Getting data from storage and decoding it can...
14 MIN READ
May 27, 2022
Prototyping Faster with the Newest UDF Enhancements in the NVIDIA cuDF API
Over the past few releases, the NVIDIA cuDF team has added several new features to user-defined functions (UDFs) that can streamline the development process...
8 MIN READ
May 05, 2022
Optimizing Access to Parquet Data with fsspec
As datasets continue to grow in size, the adoption of cloud-storage platforms like Amazon S3 and Google Cloud Storage (GCS) are becoming more popular. Although...
12 MIN READ
Jan 13, 2022
Accelerating Trustworthy AI for Credit Risk Management
On April 21, 2021, the EU Commission of the European Union issued a proposal for a regulation to harmonize the rules governing the design and marketing of AI...
13 MIN READ