NVIDIA has set six AI performance records with today’s release of the industry’s first broad set of AI benchmarks. Backed by Google, Intel, Baidu, NVIDIA and dozens more technology leaders, the new MLPerf benchmark suite measures a wide range of deep learning workloads. Aiming to serve as the industry’s first objective AI benchmark suite, it Read article >
A deluge of data is fueling AI innovation. It’s a trend that shows no sign of slowing. As organizations in every industry around the globe attempt to streamline their data pipelines and maximize data science productivity, one challenge looms large: implementing AI initiatives effectively. This is where IBM SpectrumAI with NVIDIA DGX comes in. At Read article >
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Award-winning research on opioid addiction and climate change fueled by NVIDIA researchers and tens of thousands of NVIDIA GPUs. There was a big surprise at the highly anticipated awards ceremony at SC18, the annual supercomputing show in Dallas this week. Usually, one team of researchers receives the coveted Gordon Bell Prize, the equivalent of an Read article >
The post Twice as Nice: NVIDIA Powers Not One, But Two, Gordon Bell Prizes appeared first on The Official NVIDIA Blog.
Just over 10 years ago accelerated applications didn’t exist. Today, almost 600 are accelerated by NVIDIA GPUs. The reason: GPU acceleration works. And that’s why it’s been put to work on the hardest computing jobs on earth. These are apps that get work done in physics, bioscience, molecular dynamics, chemistry and weather forecasting. The world’s Read article >
The post That Was Fast: GPUs Now Accelerate Almost 600 HPC Apps appeared first on The Official NVIDIA Blog.
NVIDIA is teaming up with the world’s largest tech companies and the U.S.’s top supercomputing labs to accelerate data analytics and machine learning, one of the fastest growing areas of high performance computing. The new initiative marks a key moment in our work accelerating HPC, a market expected to grow considerably over the next few Read article >
NVIDIA’s playing a bigger role in high performance computing than ever, just as supercomputing itself has become central to meeting the biggest challenges of our time. Speaking just hours ahead of the start of the annual SC18 supercomputing conference in Dallas, NVIDIA CEO Jensen Huang told 700 researchers, lab directors and execs about forces that Read article >
The post SC18: High Performance Computing Demand Continues to Surge, Accelerated by NVIDIA GPUs appeared first on The Official NVIDIA Blog.
Call it a virtuous circle. GPUs are accelerating increasing numbers of data science and HPC workloads. This has enabled a wide range of scientific breakthroughs, including five of this year’s six Gordon Bell Prize finalists. These advances boost mindshare — GPUs are featuring prominently in sessions, demos and new product offerings throughout SC18, taking place Read article >
The post NGC Containers Now Available for More Users, More Apps, More Platforms appeared first on The Official NVIDIA Blog.
NVIDIA GPUs will power a next-generation supercomputer at Lawrence Berkeley National Laboratory, announced today by U.S. Energy Secretary Rick Perry and supercomputer manufacturer Cray. Perlmutter, a pre-exascale system coming in 2020 to the DOE’s National Energy Research Scientific Computing Center (NERSC), will feature NVIDIA Tesla GPUs. The system is expected to deliver three times the Read article >
There’s nothing like a little Van Halen in the morning. In a rousing talk at the Washington edition of our GPU Technology Conference Wednesday — our fourth such show in just over a month — U.S. Chief Information Officer Suzette Kent presented a video outlining a far-reaching vision of IT modernization accompanied by “Right Now,” Read article >
The post AI a Priority for U.S. Government, Federal CIO Suzette Kent Says appeared first on The Official NVIDIA Blog.
Many enterprises find themselves in a bind. Their developers are clamoring to infuse the power of AI into business operations, products and services. But their IT departments, faced with on-boarding and integrating these AI-centered workloads within their infrastructure, are more cautious. Red Hat and NVIDIA have a solution with the certification of the NVIDIA DGX-1 Read article >
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