Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
Home»ADOPTION NEWS»Polars Launches GPU Engine with RAPIDS cuDF for Enhanced Data Processing
ADOPTION NEWS

Polars Launches GPU Engine with RAPIDS cuDF for Enhanced Data Processing

By Crypto FlexsSeptember 17, 20243 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
Polars Launches GPU Engine with RAPIDS cuDF for Enhanced Data Processing
Share
Facebook Twitter LinkedIn Pinterest Email

Jessie A Ellis
17 Sep 2024 15:38

Polars has released a GPU engine powered by RAPIDS cuDF, accelerating data processing on NVIDIA GPUs by up to 13x. It is now available in open beta.





Polars announced the release of a new GPU engine powered by RAPIDS cuDF, which significantly improves data processing speeds on NVIDIA GPUs. According to the NVIDIA Technical Blog, this advancement will allow data scientists to process hundreds of millions of data rows in seconds on a single machine.

Growing Data Challenges

Existing data processing libraries, such as Pandas, are single-threaded and often impractical when dealing with data sets exceeding millions of rows. Distributed data processing systems can handle billions of rows, but they introduce complexity and overhead for smaller data sets. This leaves a gap in tools that can efficiently process tens to hundreds of millions of rows of data, which is commonly required for tasks such as model development, demand forecasting, and logistics in industries such as finance, retail, and manufacturing.

Polars, a fast-growing Python library designed for data scientists and engineers, aims to solve these challenges. It can seamlessly process hundreds of millions of rows on a single machine, using advanced query optimization to minimize unnecessary data movement and processing. Polars bridges the gap between single-threaded tools and complex distributed systems, providing a compelling solution for mid-scale data processing.

Bringing NVIDIA Accelerated Computing to Polars

Polars offers significant built-in acceleration over other CPU-only data manipulation tools by leveraging multi-threaded execution, advanced memory optimizations, and lazy evaluation. However, as data processing demands increase across industries, more performance is required. This is where accelerated computing becomes essential.

cuDF is part of the NVIDIA RAPIDS family of CUDA-X libraries, a GPU-accelerated DataFrame library that leverages the massive parallelism of GPUs to dramatically improve data processing performance. Working with NVIDIA, the Polars team has combined the speed of cuDF with the efficiency of Polars to achieve up to 13x performance improvements over CPU-based Polars. This integration allows users to maintain interactive experiences even as their data processing workloads scale to hundreds of millions or billions of rows.

The Polars GPU engine is built directly into the Polars Lazy API. Users can access GPU acceleration for their workflows by installing: polars(gpu) Passing via pip (engine="gpu") to collect Operational. This approach ensures efficient execution and minimal memory usage through Polars’ query optimizer, full compatibility with Polars’ ecosystem of data visualization, I/O, and machine learning libraries, and does not change any existing Polars code.

pip install polars(gpu) --extra-index-url=https://pypi.nvidia.com

import polars as pl

(transactions
 .group_by("CUST_ID")
 .agg(pl.col("AMOUNT").sum())
 .sort(by="AMOUNT", descending=True)
 .head()
 .collect(engine="gpu"))

conclusion

The Polars GPU Engine, powered by RAPIDS cuDF, is now in open beta, giving data scientists and engineers a powerful tool for mid-scale data processing. Accelerating Polars workflows by up to 13x on NVIDIA GPUs, the engine efficiently processes datasets consisting of hundreds of millions of rows without the overhead of distributed systems. The Polars GPU Engine is fully integrated into the Polars API, making it easily accessible to all users.

Getting started with Polars GPU Engine

To learn more and get started with the Polars GPU engine, visit the official NVIDIA technology blog.

Image source: Shutterstock


Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

Related Posts

Bitcoin Treasury Firm Strive adds an industry veterans and starts a new $ 950 million capital initiative.

September 16, 2025

The best Solana depin project to form the future -Part 2

September 8, 2025

Ether Lee (ETH) tests major support for $ 4,453 after the highest rejection.

August 31, 2025
Add A Comment

Comments are closed.

Recent Posts

Zircuit Launches $495K Grants Program To Accelerate Web3 Super Apps

September 16, 2025

Kintsu Launches SHYPE On Hyperliquid

September 16, 2025

New Cryptocurrency Mutuum Finance (MUTM) Raises $15.8M As Phase 6 Reaches 40%

September 16, 2025

How XRP Enthusiasts Can Earn $15k/Day

September 16, 2025

Bringing 1R0R To R0AR Chain Unlocks New Incentives

September 16, 2025

As the Air drop recipient is sold, the infinite price is 46% conflict after Binance listing.

September 16, 2025

Vulnerability or orbit again? BTC has a line at $ 115K

September 16, 2025

Bitcoin Treasury Firm Strive adds an industry veterans and starts a new $ 950 million capital initiative.

September 16, 2025

France can break the EU password market with ‘atomic weapons’.

September 15, 2025

Cardano (ADA) Signal Recovery -Is there a strong rise?

September 15, 2025

BitMine Immersion (BMNR) Announces Crypto And Cash Holdings Of $10.8 Billion, ETH Holdings Exceeding 2.151 Million

September 15, 2025

Crypto Flexs is a Professional Cryptocurrency News Platform. Here we will provide you only interesting content, which you will like very much. We’re dedicated to providing you the best of Cryptocurrency. We hope you enjoy our Cryptocurrency News as much as we enjoy offering them to you.

Contact Us : Partner(@)Cryptoflexs.com

Top Insights

Zircuit Launches $495K Grants Program To Accelerate Web3 Super Apps

September 16, 2025

Kintsu Launches SHYPE On Hyperliquid

September 16, 2025

New Cryptocurrency Mutuum Finance (MUTM) Raises $15.8M As Phase 6 Reaches 40%

September 16, 2025
Most Popular

Animoca Brands’ GEN3 Playground Event Attracts Over 1,000 Web3 Enthusiasts

November 6, 2024

Why Dogecoin will remain relevant in 2024 with or without Musk

December 29, 2023

Hodler’s Digest, Aug. 4-10 – Cointelegraph Magazine

August 11, 2024
  • Home
  • About Us
  • Contact Us
  • Disclaimer
  • Privacy Policy
  • Terms and Conditions
© 2025 Crypto Flexs

Type above and press Enter to search. Press Esc to cancel.