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Microsoft builds massive supercomputer for smarter AI


Supercomputers, like this one at Lawrence Livermore National Laboratory, are designed to tackle the world's toughest computing challenges. Microsoft has built an enormous supercomputer for artificial intelligence work, a new direction for its Azure cloud computing service. The machine has 285,000 processor cores boosted by 10,000 graphics chips for OpenAI, a company that wants to ensure AI technology helps humans. Microsoft announced the machine at its Build conference for developers on Tuesday. Supercomputers, the most powerful computing machines on the planet, are typically used for the most taxing problems.

U.S. Department of Energy plans exaFlop supercomputer in 2021


The U.S. Department of Energy said it will deliver its first exaFlop supercomputer named Aurora built on Cray's Shasta architecture in 2021. The U.S. DoE said that the system is being developed at its Argonne National Laboratory in Chicago. The contract, won by Intel and Cray, tops $500 million. Cray launched its Shasta supercomputer in October with a series of partners such as Intel, AMD, Marvell, Mellanox and Nvidia. Cray also was chosen for a supercomputer being delivered to the DoE in 2020.

Nvidia goes deep with new DGX-1 supercomputer


Computing giant Nvidia has announced the world's first "supercomputer in a box" – the DGX-1. With a cool 170 teraflops of performance, the machine is designed to tackle the complex worlds of deep learning and artificial intelligence, areas of research requiring massive amounts of computing power. The DGX-1 uses the company's newly developed Pascal architecture that recently showed up in its beastly in-car supercomputer. The DGX-1 has eight Tesla GP100 GPUs, each with 16 gigabytes of memory. Alongside that, the knowledge hungry supercomputer contains 512 GB of RAM, and four 1.92 terabyte solid state hard drives.

This Tiny Supercomputer Is the New Wave of Artificial Intelligence (AI)


From just powering gaming computers, NVIDIA Corporation (NASDAQ:NVDA) has advanced its GPU business to focusing the use of its technology to power advanced machine technologies. NVIDIA DGX-1 – This is what is known to be the world's first commercially available supercomputer designed specifically for deep learning. NVIDIA claims that DGX-1 is a supercomputer delivering the computing power of 250 2-socket servers in a box. The company states on their website that its NVIDIA NVLink implementation delivers massive increase in GPU memory capacity, giving you a system that can learn, see, and simulate our world--a world with an infinite appetite for computing. NVIDIA also claims the DGX-1 can be trained for tasks like image recognition and will perform significantly faster than other servers.

US funds tech giants' efforts to build next-gen supercomputers


The US government is giving six companies a total of $258 million in hopes that they can build an exascale supercomputer before China, Japan or anyone else does. A post on the Exascale Computing Project website has revealed that the Department of Energy has awarded AMD, Cray, HP, IBM, Intel and Nvidia $258 million in funding over a three-year period. The six corporations won't depend solely on the government's money, though -- to show that they're also fully invested in the project, they'll cover 40 percent of the total costs that could amount to least $430 million. An exascale supercomputer would be capable of making a billion billion calculations per second and is expected to have the same processing power as the human brain at neural level. It could change the way we do research, help us conjure up elusive treatments for illnesses and unravel the mysteries of our planet and the universe.