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Nvidia Debuts Cloud Server Platform To Unify AI and High-Performance Computing (siliconangle.com)
Hoping to maintain the high ground in AI and high-performance computing, Nvidia late Tuesday debuted a new computing architecture that it claims will unify both fast-growing areas of the industry. From a report: The announcement of the HGX-2 cloud-server platform, made by Nvidia Chief Executive Jensen Huang at its GPU Technology Conference in Taipei, Taiwan, is aimed at many new applications that combine AI and HPC. "We believe the future requires a unified platform for AI and high-performance computing," Paresh Kharya, product marketing manager for Nvidiaâ(TM)s accelerated-computing group, said during a press call Tuesday.
Others agree. "I think that AI will revolutionize HPC," Karl Freund, a senior analyst at Moor Insights & Strategy, told SiliconANGLE. "I suspect many supercomputing centers will deploy HGX2 as it can add dramatic computational capacity for both HPC and AI." More specifically, the new architecture enables applications involving scientific computing and simulations, such as weather forecasting, as well as both training and running of AI models such as deep learning neural networks, for jobs such as image and speech recognition and navigation for self-driving cars.
Others agree. "I think that AI will revolutionize HPC," Karl Freund, a senior analyst at Moor Insights & Strategy, told SiliconANGLE. "I suspect many supercomputing centers will deploy HGX2 as it can add dramatic computational capacity for both HPC and AI." More specifically, the new architecture enables applications involving scientific computing and simulations, such as weather forecasting, as well as both training and running of AI models such as deep learning neural networks, for jobs such as image and speech recognition and navigation for self-driving cars.
You mean 'unify the pseudo-intelligence garbage they pass off as AI'? Great, just what the world needs: standardized garbage.
Speaking of self-driving cars: another Tesla autopilot crash today: https://twitter.com/LBPD_PIO_4...
Hit a parked police SUV. Keep on beta testing your stuff, Tesla. Don't forget to complain about the "shorts".
NVidia already announced the DGX-2 appliance a few weeks back. Now they announce HGX-2, which apparently is the design for companies that want to build their own AI cloud. But I have to ask, given the recent shortage of chips, how would any third party build their own DGX-2 from the reference design if they can't get the chips? Given the memory shortage, it's not like building your own DGX-2 for a AI cloud is going to be more efficient than just buying DGX-2 from Nvidia.
It seems unlikely that AI will change bread-and-butter HPC applications such as CFD and ab-initio chemistry for a while.
If you’re going to switch to Linux, you must be open to learning about command structures because you will find yourself using it frequently. I’m sure there are graphical workarounds (such as opening config files in a text editor) but it’s hard to beat the power and efficiency of a terminal that does exactly what you tell it to do. Driver Settings Because Windows has such a widespread grasp on the PC market, driver manufacturers tend to focus their efforts on that one operating system. Which means companies like AMD and Nvidia prioritize Windows over Linux.