Nvidia’s H100 enterprise GPU sees huge workflow performance boosts
New Nvidia hardware comes with a pleasant surprise for science and enterprise
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Nvidiahas announced its new H100 Tensor CoreGPUs, as well as plenty of partnerships withservermanufacturers for its inclusion in their next-generation products.
The company made the announcement during aspecial addressat Supercomputing 2022, while a subsequentpress releaseclaimed that “dozens” of new servers will benefit from H100, including machines from Asus,Dell,HPEnterprise, andLenovo.
The reveal of a new GPU, which will come bundled with a five-year long license to Nvidia’sAI Enterprisesoftware, is part of a strategy that will put its artificial intelligence (AI) frameworks and tools in the hands of as many businesses as possible.
Nvidia H100
The company noted that AI already has several significant use cases, “from medical imaging, to weather models, to safety alert systems.”
By giving away the systems that hope to streamline the production of new AI workflows, the company is betting on even more implementations of AI coming to light in the near future.
“By providing a universal scientific computing platform that accelerates both principled numerical and AI methods, [Nvidia is] giving scientists an instrument to make discoveries that will benefit humankind,” Jensen Huang, Nvidia founder and CEO, explained.
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Nvidia also claims to want to “boost” scientific discoveries, and has updated its CUDA, cuQuantum, and DOCA acceleration libraries accordingly, to deliver better performance for quantum computing and simulation workflows.
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Tom’s Hardwarehas reported significant improvements in efficiency, citing the Flatiron Institute’s Henri supercomputer, which debuted in the Top500 and Green500 lists this week.
Its energy consumption measures in at 31kW, which translates to an energy efficiency of 65.091 GFLOPS/Watt, giving it a world record.
Of course, there are countless other aspects that contribute to its overall efficiency including air cooling, however the improvements delivered by the H100 GPU have gone some way towards the supercomputer’s success.
With several years’ experience freelancing in tech and automotive circles, Craig’s specific interests lie in technology that is designed to better our lives, including AI and ML, productivity aids, and smart fitness. He is also passionate about cars and the decarbonisation of personal transportation. As an avid bargain-hunter, you can be sure that any deal Craig finds is top value!
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