Getting AI Leverage With GPU-Optimized Systems
The artificial intelligence revolution is quickly changing every industry, and modern data centers must be equipped to capitalize on these extraordinary new capabilities. …
The artificial intelligence revolution is quickly changing every industry, and modern data centers must be equipped to capitalize on these extraordinary new capabilities. …
Gone are the days of early warehouse scale computing pioneers that were based in the U.S.. …
The first step in rolling out a massive supercomputer installed at a government sponsored HPC laboratory is to figure out when you want to get it installed and doing useful work. …
If you are running applications in the HPC or AI realms, you might be in for some sticker shock when you shop for GPU accelerators – thanks in part to the growing demand of Nvidia’s Tesla cards in those markets but also because cryptocurrency miners who can’t afford to etch their own ASICs are creating a huge demand for the company’s top-end GPUs. …
Computing used to be far away.
It was accessed via remote command terminals, through time sliced services. …
There is no question right now that if you have a big computing job in either high performance computing – the colloquial name for traditional massively parallel simulation and modeling applications – or in machine learning – the set of statistical analysis routines with feedback loops that can do identification and transformation tasks that used to be solely the realm of humans – then an Nvidia GPU accelerator is the engine of choice to run that work at the best efficiency. …
Pankaj Goyal, VP, AI Business & Data Center Strategy, Hewlett Packard Enterprise
The artificial intelligence (AI) revolution is quickly changing every industry, and modern data centers must be equipped to capitalize on these extraordinary new capabilities. …
If there is one thing that can be said about modern distributed computing that has held true for three decades now, it is that the closer you get to the core of the datacenter, the beefier the compute tends to be. …
The field of competitors looking to bring exascale-capable computers to the market is a somewhat crowded one, but the United States and China continue to be the ones that most eyes are on. …
Neural networks live on data and rely on computational firepower to help them take in that data, train on it and learn from it. …
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