Whether they're looking at nanoscale electron behaviors or starry galaxies colliding millions of light years away, many scientists share a common challenge - they must comb through petabytes of data to extract insights that can advance their fields.
With the NVIDIA cuPyNumeric accelerated computing library, researchers can now take their data-crunching Python code and effortlessly run it on CPU-based laptops and GPU-accelerated workstations, cloud servers or massive supercomputers. The faster they can work through their data, the quicker they can make decisions about promising data points, trends worth investigating and adjustments to their experiments.
To make the leap to accelerated computing, researchers don't need expertise in computer science. They can simply write code using the familiar NumPy interface or apply cuPyNumeric to existing code, following best practices for performance and scalability.
Once cuPyNumeric is applied, they can run their code on one or thousands of GPUs with zero code changes.
The latest version of cuPyNumeric, now available on Conda and GitHub, offers support for the NVIDIA GH200 Grace Hopper Superchip, automatic resource configuration at run time and improved memory scaling. It also supports HDF5, a popular file format in the scientific community that helps efficiently manage large, complex data.
Researchers at the SLAC National Accelerator Laboratory, Los Alamos National Laboratory, Australia National University, UMass Boston, the Center for Turbulence Research at Stanford University and the National Payments Corporation of India are among those who have integrated cuPyNumeric to achieve significant improvements in their data analysis workflows.
Less Is More: Limitless GPU Scalability Without Code Changes Python is the most common programming language for data science, machine learning and numerical computing, used by millions of researchers in scientific fields including astronomy, drug discovery, materials science and nuclear physics. Tens of thousands of packages on GitHub depend on the NumPy math and matrix library, which had over 300 million downloads last month. All of these applications could benefit from accelerated computing with cuPyNumeric.
Many of these scientists build programs that use NumPy and run on a single CPU-only node - limiting the throughput of their algorithms to crunch through increasingly large datasets collected by instruments like electron microscopes, particle colliders and radio telescopes.
cuPyNumeric helps researchers keep pace with the growing size and complexity of their datasets by providing a drop-in replacement for NumPy that can scale to thousands of GPUs. cuPyNumeric doesn't require code changes when scaling from a single GPU to a whole supercomputer. This makes it easy for researchers to run their analyses on accelerated computing systems of any size.
Solving the Big Data Problem, Accelerating Scientific Discovery Researchers at SLAC National Accelerator Laboratory, a U.S. Department of Energy lab operated by Stanford University, have found that cuPyNumeric helps them speed up X-ray experiments conducted at the Linac Coherent Light Source.
A SLAC team focused on materials science discovery for semiconductors found that cuPyNumeric accelerated its data analysis application by 6x, decreasing run time from minutes to seconds. This speedup allows the team to run important analyses in parallel when conducting experiments at this highly specialized facility.
By using experiment hours more efficiently, the team anticipates it will be able to discover new material properties, share results and publish work more quickly.
Other institutions using cuPyNumeric include:
Australia National University, where researchers used cuPyNumeric to scale the Levenberg-Marquardt optimization algorithm to run on multi-GPU systems at the country's National Computational Infrastructure. While the algorithm can be used for many applications, the researchers' initial target is large-scale climate and weather models.
Los Alamos National Laboratory, where researchers are applying cuPyNumeric to accelerate data science, computational science and machine learning algorithms. cuPyNumeric will provide them with additional tools to effectively use the recently launched Venado supercomputer, which features over 2,500 NVIDIA GH200 Grace Hopper Superchips.
Stanford University's Center for Turbulence Research, where researchers are developing Python-based computational fluid dynamics solvers that can run at scale on large accelerated computing clusters using cuPyNumeric. These solvers can seamlessly integrate large collections of fluid simulations with popular machine learning libraries like PyTorch, enabling complex applications including online training and reinforcement learning.
UMass Boston, where a research team is accelerating linear algebra calculations to analyze microscopy videos and determine the energy dissipated by active materials. The team used cuPyNumeric to decompose a matrix of 16 million rows and 4,000 columns.
National Payments Corporation of India, the organization behind a real-time digital payment system used by around 250 million Indians daily and expanding globally. NPCI uses complex matrix calculations to track transaction paths between payers and payees. With current methods, it takes about 5 hours to process data for a one-week transaction window on CPU systems. A trial showed that applying cuPyNumeric to accelerate the calculations on multi-node NVIDIA DGX systems could speed up matrix multiplication by 50x, enabling NPCI to process larger transaction windows in less than an hour and detect suspected money laundering in near real time.
To learn more about cuPyNumeric, see a live demo in the NVIDIA booth at the Supercomputing 2024 conference in Atlanta, join the theater talk in the expo
Most recent headlines
05/01/2027
Worlds first 802.15.4ab-UWB chip verified by Calterah and Rohde & Schwarz to be ...
01/06/2026
January 6 2026, 05:30 (PST) Dolby Sets the New Standard for Premium Entertainment at CES 2026
Throughout the week, Dolby brings to life the latest innovatio...
02/05/2026
Dalet, a leading technology and service provider for media-rich organizations, t...
01/05/2026
January 5 2026, 18:30 (PST) NBCUniversal's Peacock to Be First Streamer to ...
06/04/2026
Michigan legends bring a new voice to the broadcast as TNT Sports and CBS Sports...
06/04/2026
From high school sports all the way up to the major leagues, building high-quali...
06/04/2026
Quickplay, an AI company for the media and entertainment industry, has been accepted into the Advanced tier of the TwelveLabs Ecosystem Partner Program. Quickpl...
06/04/2026
Grass Valley has announced the Future Playmakers Program, a global initiative to...
06/04/2026
El l der de operaciones impulsa la producci n en estudio mientras encuentra insp...
06/04/2026
The ops leader helps lead the charge in studio for the Spanish-language broadcas...
06/04/2026
Behind The Mic provides a roundup of recent news regarding on-air talent, includ...
06/04/2026
The National Hockey League (NHL), in partnership with Verizon and the New Jersey Devils, today announced the opening of the NHL Innovation Lab powered by Verizo...
06/04/2026
Rock League, a new professional curling league, has announced that ESPN+ will stream its inaugural 2026 season for fans in the United States. The first Rock Lea...
06/04/2026
Advanced Systems Group has announced the appointment of Andrea (Andy) Cummis as Vice President of Systems Design and Engineering. In this role, she will lead de...
06/04/2026
Backed by Bolt Ventures, the venture brings Bryson DeChambeau, Grant Horvat, and...
06/04/2026
With this environment we can start that collaboration even earlier because we ca...
06/04/2026
Like the immortal lives of vampires, some stories never really end. That's t...
06/04/2026
As podcasting continues to evolve, growth increasingly means building beyond aud...
06/04/2026
Multiband dynamics plug-in enhanced
California-based developer FSK Audio have released a significant update for their innovative multiband dynamics processo...
06/04/2026
Share official & user-created full-rig presets
IK Multimedia's latest TONEX update makes it possible for users of the popular amp and effects modelling ...
06/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
06/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
06/04/2026
Dalet Showcases Dalia Agentic AI and End-to-End Media Workflows at NAB Show 2026
Brie Clayton April 6, 2026
0 Comments
Dalet, a leading technology and...
06/04/2026
OpenDrives Shows Off Sports Expertise in Sports Business Hub located in NAB Show...
06/04/2026
Proton to Demonstrate 3D Application at NAB 2026
Brie Clayton April 6, 2026
0 Comments
Yet further creative potential unleashed through innovation in ...
06/04/2026
Autoscript Highlights Voice-Driven Prompting and PTZ Solutions at NAB 2026
Brie Clayton April 6, 2026
0 Comments
Experience Autoscript Voice, PTZ prom...
06/04/2026
Mediaproxy Highlights Significant Enhancements to its LogServer suite at NAB Sho...
06/04/2026
Wayne, N.J., April 6th, 2026 Phantom High-Speed announces the release of PCC 4...
06/04/2026
April 6th, 2026
TRIBECA STUDIOS AND LILLY ANNOUNCE WINNERS OF INAUGURAL VITAL...
06/04/2026
Back to All News
Netflix Expands Kids Entertainment Lineup With Playground App ...
05/04/2026
Tackles all reported bugs!
SoundBridge have just announced the launch of a new update that introduces a couple of minor changes to their remote collaboratio...
04/04/2026
The University of Arizona's Men's Basketball team has only loss twice th...
04/04/2026
1080p HDR arrives, a new generation of storytelling tools takes center stage, an...
04/04/2026
Michigan legends bring a new voice to the broadcast as TNT Sports and CBS Sports...
04/04/2026
Faster, cleaner and more intuitive than ever
The control software for Flock Audio's digitally controlled patchbay systems has just been treated to an up...
04/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
04/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
04/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
04/04/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
04/04/2026
DHD Introduces AI-Based Audio Noise Reduction to XD3 IP Core
Brie Clayton April 3, 2026
0 Comments
The accompanying image shows the rear panel of the ...
04/04/2026
Macnica Redefines ST 2110 Flexibility with Two Speeds on One Card
Brie Clayton April 3, 2026
0 Comments
New for NAB Show 2026, MEP100 SmartNIC now sup...
04/04/2026
Unified Media Workflows for Story-Centric Production
Brie Clayton April 3, 2026
0 Comments
Framelight X unifies field capture, editing and publishing ...
03/04/2026
Michigan's Fab Five will reunite for an alternate presentation of the Mich...
03/04/2026
Avid will exhibit at NAB Show 2026 (April 18-22, Booth N2226, Las Vegas Convention Center), demonstrating its Content Core platform and new AI-driven workflow c...
03/04/2026
Mark Roberts Motion Control (MRMC) has announced the appointment of Nick Barthee as Chief Operating Officer.
The announcement follows MRMC's transition fro...
03/04/2026
Interra Systems has announced that Elite Media Technologies has selected its BATON file-based QC solution for media workflows. Elite Media Technologies speciali...
03/04/2026
Ateme has announced that Moldtelecom has deployed Ateme technologies across its streaming workflow, covering encoding, delivery, operations, and analytics.
Mol...
03/04/2026
Grass Valley will demonstrate Framelight X, its content management platform, at NAB Show 2026. The platform connects capture, ingest, editing, and publishing in...
03/04/2026
Encompass Digital Media and Techex have announced a cloud-native Master Control ...
Whether they're looking at nanoscale electron behaviors or starry galaxies colliding millions of light years away, many scientists share a common challenge - they must comb through petabytes of data to extract insights that can advance their fields.
