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 ...
07/10/2026
Dalet, a leading technology and service provider for media-rich organizations, today announced the latest Long-Term Supported (LTS) release of Dalet Flex. Build...
06/09/2026
June 9 2026, 23:00 (PDT) Dolby and MagentaTV Bring Fans Closer to the FIFA Worl...
04/08/2026
Dalet, a leading technology and service provider for media-rich organizations, t...
22/07/2026
Among other tweaks to coverage, the broadcaster added announce positions in the ...
22/07/2026
The Australian Sports Technologies Network (ASTN) has reported a sharp acceleration in Australia's sportstech sector, with revenue growth rising from 10% in...
22/07/2026
From a retrofitted broadcast bus to packed Match Day Live! events, Bennett detai...
22/07/2026
TMRW Sports has named Brendan Donohue as President, Flag Football, where he will lead the company's professional flag football business in partnership with ...
22/07/2026
Stephen Arnold Music (SAM) designed and produced soundtracks for nine projection...
22/07/2026
Harmonic has announced a $25,000 donation to Global Empowerment Mission (GEM) fo...
22/07/2026
Telemundo has announced it has acquired from UC3 exclusive U.S. Spanish-language...
22/07/2026
The Rest Is Football, hosted by Gary Lineker, Alan Shearer, and Micah Richards, ...
22/07/2026
Sports Studio has announced a partnership with TheSoul Group to distribute Free ...
22/07/2026
Daktronics has concluded its 2026 High School Video Summit, a two-day hybrid event combining virtual sessions with hands-on host school visits across the countr...
22/07/2026
FOR-A America will exhibit at the MMCA Show in Pensacola, Florida (July 21-24), marking the company's first appearance at the house of worship AV event. FOR...
22/07/2026
The New York Yankees have selected Lumen Technologies (NYSE: LUMN) to connect Ya...
22/07/2026
Calrec will exhibit at IBC 2026 (Stand 8.C47) with demonstrations of its IP-native audio ecosystem built around the Argo console range, and will announce two ne...
22/07/2026
Solid State Logic has announced the appointment of Algam EKO as its distributor for SSL large format consoles in Italy, covering the Live, Broadcast, and Studio...
22/07/2026
FloSports has announced the launch of the FloSports Channel, a free ad-supported streaming channel premiering on Prime Video in the U.S. on July 21. The channel...
22/07/2026
Banana Ball TV (BTV), the broadcast operation of the Savannah Bananas, has insta...
22/07/2026
SiriusXM and Audacy have announced an agreement bringing 42 Audacy sports, news, and talk stations from 29 U.S. markets to SiriusXM. Twenty-three Audacy sports ...
22/07/2026
The collaboration produced more than 500 short-form videos across four cities th...
22/07/2026
At 2,600 sq. ft., the new home of digital content houses a main studio, podcast space, and an auxiliary control room
NFL franchises are accelerating their prod...
22/07/2026
Library now available in Engine Player
Another of Eduardo Tarilonte's popular sample libraries has just been moved over to Engine Audio's Engine Pla...
22/07/2026
All-in-one mic & DSP interface overhauled
Cloudvocal have just refreshed the design of their all-in-one mic, audio interface and DSP processor, introducing ...
22/07/2026
The final boss of the lost dual-op-amp circuit
Electro-Harmonix have just introduced the Deluxe Big Muff Pi 2, which they say offers their latest take on t...
22/07/2026
eds3_5_jq(document).ready(function($) { $(#eds_sliderM519).chameleonSlider_2_1({ content_source:......
22/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
22/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
22/07/2026
Proven managed IP solution helps broadcasters confidently navigate the future of broadcast distribution
LTN announces it has completed successful satellite-to-...
22/07/2026
Today, Chaos announced V-Ray 7, update 4, eliminating the need for asset conversions and tool switching, which slow down media and entertainment pipelines. Arti...
22/07/2026
An AI playground for the Project Indigo camera app
Marc Levoy July 22, 2026
0 Comments
At left is the user interface of our Playground, running on an ...
22/07/2026
Custom Consoles announces the completion of a large technical furniture project for Radio T l vision Suisse (RTS) at the networks recently inaugurated productio...
22/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
22/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
22/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
22/07/2026
Culver City, CA, July 21, 2026 3D streaming infrastructure provider Miris today announced glTF intake, including the binary .glb form, to its spatial streamin...
22/07/2026
Documentary Lo Invisible Captured with Blackmagic PYXIS 6K
Brie Clayton July 21, 2026
0 Comments
Camera's versatile design allowed filmmakers to c...
22/07/2026
AAF Bridge converts AAF and XML Timelines to Ableton Live - and back
Jerome Gardier July 21, 2026
0 Comments
A two-way converter for macOS and Windows...
22/07/2026
From Class to Concert: Explore a Student-Led Production of David Bowies Work Thr...
22/07/2026
A poisoned spy, a secret war, and a small English city contaminated by a deadly chemical weapon. Available on Sky Documentaries from 4 AugustWednesday 22 July 2...
22/07/2026
Audio at Parity: Comscore Launches Transcript-Level Targeting and Measurement wi...
22/07/2026
Arvato Systems and Lobster Enter into a Partnership and Combine the Integration Platform and Managed Services
Flexible integration solutions for cloud, hybrid...
22/07/2026
RT REPORTS NET SURPLUS OF 22.5 MILLION IN 2025...
22/07/2026
In the Opinion of the Censor airs Monday 27 July at 9.35pm on RT One and RT Player
In the Opinion of the Censor looks at how films for theatrical release wer...
22/07/2026
Before a healthcare robot can be useful in the real world, it has to learn how the physical world pushes back. Anatomy varies. Instruments bend, press, slip and...
21/07/2026
New research involving a cross-section of Mongolias independent media landscape finds enthusiasm for AI as a tool to improve efficiency, sustainability and resi...
21/07/2026
With winners Spain having already paraded the World Cup trophy through Madrid in front of millions of fans and the dust now settling on an epic tournament of th...
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.
