Beginning with the discharge of CUDA in 2006, NVIDIA has pushed developments in AI and accelerated computing — and the latest TOP500 checklist of the world’s strongest supercomputers highlights the fruits of the corporate’s achievements within the area.
This yr, 384 programs on the TOP500 checklist are powered by NVIDIA applied sciences. Among the many 53 new to the checklist, 87% — 46 programs — are accelerated. Of these accelerated programs, 85% use NVIDIA Hopper GPUs, driving developments in areas like local weather forecasting, drug discovery and quantum simulation.
Accelerated computing is way more than floating level operations per second (FLOPS). It requires full-stack, application-specific optimization. At SC24 this week, NVIDIA introduced the discharge of cuPyNumeric, an NVIDIA CUDA-X library that allows over 5 million builders to seamlessly scale to highly effective computing clusters with out modifying their Python code.
NVIDIA additionally revealed important updates to the NVIDIA CUDA-Q growth platform, which empowers quantum researchers to simulate quantum units at a scale beforehand thought computationally not possible.
And, NVIDIA acquired practically a dozen HPCwire Readers’ and Editors’ Alternative awards throughout quite a lot of classes, marking its twentieth consecutive yr of recognition.
A New Period of Scientific Discovery With Combined Precision and AI
Combined-precision floating-point operations and AI have grow to be the instruments of selection for researchers grappling with the complexities of recent science. They provide larger pace, effectivity and adaptableness than conventional strategies, with out compromising accuracy.
This shift isn’t simply theoretical — it’s already taking place. At SC24, two Gordon Bell finalist tasks revealed how utilizing AI and combined precision helped advance genomics and protein design.
In his paper titled “Utilizing Combined Precision for Genomics,” David Keyes, a professor at King Abdullah College of Science and Know-how, used 0.8 exaflops of combined precision to discover relationships between genomes and their generalized genotypes, after which to the prevalence of ailments to which they’re topic.
Equally, Arvind Ramanathan, a computational biologist from the Argonne Nationwide Laboratory, harnessed 3 exaflops of AI efficiency on the NVIDIA Grace Hopper-powered Alps system to hurry up protein design.
To additional advance AI-driven drug discovery and the event of lifesaving therapies, researchers can use NVIDIA BioNeMo, highly effective instruments designed particularly for pharmaceutical purposes. Now in open supply, the BioNeMo Framework can speed up AI mannequin creation, customization and deployment for drug discovery and molecular design.
Throughout the TOP500, the widespread use of AI and mixed-precision floating-point operations displays a world shift in computing priorities. A complete of 249 exaflops of AI efficiency are actually obtainable to TOP500 programs, supercharging improvements and discoveries throughout industries.
NVIDIA-accelerated TOP500 programs excel throughout key metrics like AI and mix-precision system efficiency. With over 190 exaflops of AI efficiency and 17 exaflops of single-precision (FP32), NVIDIA’s accelerated computing platform is the brand new engine of scientific computing. NVIDIA additionally delivers 4 exaflops of double-precision (FP64) efficiency for sure scientific calculations that also require it.
Accelerated Computing Is Sustainable Computing
Because the demand for computational capability grows, so does the necessity for sustainability.
Within the Green500 checklist of the world’s most energy-efficient supercomputers, programs with NVIDIA accelerated computing rank amongst eight of the highest 10. The JEDI system at EuroHPC/FZJ, for instance, achieves a staggering 72.7 gigaflops per watt, setting a benchmark for what’s attainable when efficiency and sustainability align.
For local weather forecasting, NVIDIA introduced at SC24 two new NVIDIA NIM microservices for NVIDIA Earth-2, a digital twin platform for simulating and visualizing climate and local weather circumstances. The CorrDiff NIM and FourCastNet NIM microservices can speed up local weather change modeling and simulation outcomes by as much as 500x.
In a world more and more aware of its environmental footprint, NVIDIA’s improvements in accelerated computing stability excessive efficiency with power effectivity to assist notice a brighter, extra sustainable future.
Supercomputing Group Embraces NVIDIA
The 11 HPCwire Readers’ Alternative and Editors’ Alternative awards NVIDIA acquired signify the work of all the scientific group of engineers, builders, researchers, companions, prospects and extra.
The awards embrace:
- Readers’ Alternative: Greatest AI Product or Know-how – NVIDIA GH200 Grace Hopper Superchip
- Readers’ Alternative: Greatest HPC Interconnect Product or Know-how – NVIDIA Quantum-X800
- Readers’ Alternative: Greatest HPC Server Product or Know-how – NVIDIA Grace CPU Superchip
- Readers’ Alternative: High 5 New Merchandise or Applied sciences to Watch – NVIDIA Quantum-X800
- Readers’ Alternative: High 5 New Merchandise or Applied sciences to Watch – NVIDIA Spectrum-X
- Readers’ and Editors’ Alternative: High 5 New Merchandise or Applied sciences to Watch – NVIDIA Blackwell GPU
- Editors’ Alternative: High 5 New Merchandise or Applied sciences to Watch – NVIDIA CUDA-Q
- Readers’ Alternative: High 5 Distributors to Watch – NVIDIA
- Readers’ Alternative: Greatest HPC Response to Societal Plight – NVIDIA Earth-2
- Editors’ Alternative: Greatest Use of HPC in Vitality (one in all two named contributors) – Actual-time simulation of CO2 plume migration in carbon seize and storage
- Readers’ Alternative Award: Greatest HPC Collaboration (one in all 11 named contributors) – Nationwide Synthetic Intelligence Analysis Useful resource Pilot
Watch the replay of NVIDIA’s particular tackle at SC24 and be taught extra in regards to the firm’s information within the SC24 on-line press package.
See discover concerning software program product data.