NVIDIA today announced it has acquired SchedMD — the leading developer of Slurm, an open-source workload management system for high-performance computing (HPC) and AI — to help strengthen the open-source software ecosystem and drive AI innovation for researchers, developers and enterprises. NVIDIA will continue to develop and distribute Slurm as open-source, vendor-neutral software, making it
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Five finalists for the esteemed high-performance computing award have achieved breakthroughs in climate modeling, fluid simulation and more with the Alps, JUPITER and Perlmutter supercomputers — with two winners taking home the prize.
Since a 7.8-magnitude earthquake hit Syria and Türkiye two years ago — leaving 55,000 people dead, 130,000 injured and millions displaced from their homes — students, researchers and developers have been harnessing the latest AI robotics technologies to increase disaster preparedness in the region. The work is part of a Disaster Response Innovation and Education
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Data centers need an upgraded dashboard to guide their journey to greater energy efficiency, one that shows progress running real-world applications. The formula for energy efficiency is simple: work done divided by energy used. Applying it to data centers calls for unpacking some details. Today’s most widely used gauge — power usage effectiveness (PUE) —
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GPUs have been called the rare Earth metals — even the gold — of artificial intelligence, because they’re foundational for today’s generative AI era. Three technical reasons, and many stories, explain why that’s so. Each reason has multiple facets well worth exploring, but at a high level: GPUs employ parallel processing. GPU systems scale up Read article >
Everything about large language models is big — giant models train on massive datasets across thousands of NVIDIA GPUs. That can pose a lot of big challenges for companies pursuing generative AI. NVIDIA NeMo, a framework for building, customizing and running LLMs, helps overcome these challenges. A team of experienced scientists and developers at Amazon Read article >
In a talk, now available online, NVIDIA Chief Scientist Bill Dally describes a tectonic shift in how computer performance gets delivered in a post-Moore’s law era. Each new processor requires ingenuity and effort inventing and validating fresh ingredients, he said in a recent keynote address at Hot Chips, an annual gathering of chip and systems Read article >
Ten miles in from Long Island’s Atlantic coast, Shinjae Yoo is revving his engine. The computational scientist and machine learning group lead at the U.S. Department of Energy’s Brookhaven National Laboratory is one of many researchers gearing up to run quantum computing simulations on a supercomputer for the first time, thanks to new software. Yoo’s Read article >
Jiusheng Chen’s team just got accelerated. They’re delivering personalized ads to users of Microsoft Bing with 7x throughput at reduced cost, thanks to NVIDIA Triton Inference Server running on NVIDIA A100 Tensor Core GPUs. It’s an amazing achievement for the principal software engineering manager and his crew. Tuning a Complex System Bing’s ad service uses Read article >
Like old friends catching up over coffee, two industry icons reflected on how modern AI got its start, where it’s at today and where it needs to go next. Jensen Huang, founder and CEO of NVIDIA, interviewed AI pioneer Ilya Sutskever in a fireside chat at GTC. The talk was recorded a day after the Read article >
The results are in, and they point to a new era in energy-efficient computing. In tests of real workloads, the NVIDIA Grace CPU Superchip scored 2x performance gains over x86 processors at the same power envelope across major data center CPU applications. That opens up a whole new set of opportunities. It means data centers Read article >
Museumgoers will be able to explore two sunken WWII ships as if they were scuba divers on the ocean floor, thanks to work at Curtin University in Perth, Australia. Exhibits in development, for display in Australia and potentially further afield, will use exquisitely detailed 3D models the researchers are creating to tell the story of Read article >
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In four talks over two days, senior NVIDIA engineers will describe innovations in accelerated computing for modern data centers and systems at the edge of the network. Speaking at a virtual Hot Chips event, an annual gathering of processor and system architects, they’ll disclose performance numbers and other technical details for NVIDIA’s first server CPU, Read article >
The post NVIDIA to Share New Details on Grace CPU, Hopper GPU, NVLink Switch, Jetson Orin Module at Hot Chips appeared first on NVIDIA Blog.
If the King of Sweden wants help drafting his annual Christmas speech this year, he could ask the same AI model that’s available to his 10 million subjects. As a test, researchers prompted the model, called GPT-SW3, to draft one of the royal messages, and it did a pretty good job, according to Magnus Sahlgren, Read article >
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If you want to ride the next big wave in AI, grab a transformer. They’re not the shape-shifting toy robots on TV or the trash-can-sized tubs on telephone poles. So, What’s a Transformer Model? A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the Read article >
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Look who just set new speed records for training AI models fast: Dell Technologies, Inspur, Supermicro and — in its debut on the MLPerf benchmarks — Azure, all using NVIDIA AI. Our platform set records across all eight popular workloads in the MLPerf training 1.1 results announced today. NVIDIA A100 Tensor Core GPUs delivered the Read article >
The post Cloud Service, OEMs Raise the Bar on AI Training with NVIDIA AI appeared first on The Official NVIDIA Blog.
Carol Song is opening a door for researchers to advance science on Anvil, Purdue University’s new AI-ready supercomputer, an opportunity she couldn’t have imagined as a teenager in China. “I grew up in a tumultuous time when, unless you had unusual circumstances, the only option for high school grads was to work alongside farmers or Read article >
The post If I Had a Hammer: Purdue’s Anvil Supercomputer Will See Use All Over the Land appeared first on The Official NVIDIA Blog.
NVIDIA-powered systems won four of five tests in MLPerf HPC 1.0, an industry benchmark for AI performance on scientific applications in high performance computing. They’re the latest results from MLPerf, a set of industry benchmarks for deep learning first released in May 2018. MLPerf HPC addresses a style of computing that speeds and augments simulations Read article >
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Two simulations of a billion atoms, two fresh insights into how the SARS-CoV-2 virus works, and a new AI model to speed drug discovery. Those are results from finalists for Gordon Bell awards, considered a Nobel prize in high performance computing. They used AI, accelerated computing or both to advance science with NVIDIA’s technologies. A Read article >
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Researchers are finding the jet fuel for the million-x advances their work now demands. They face rising mountains of data with soaring computational requirements they can’t surmount relying solely on Moore’s law, the sputtering combustion engine of yesterday’s systems. So, they’re strapping together a trio of thrusters for the exponential acceleration they need. Speeding Up Read article >
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