Viewing posts from August, 2016

Optimism Abounds at AMD as Zen Flexes Its Performance Muscles

On Wednesday evening, just a stone’s throw away from where Intel was holding its developer forum in San Francisco, AMD was previewing its upcoming Zen CPU to an audience of analysts and reporters. Zen is AMD’s newest x86 microarchitecture, which is in line replace the older Bulldozer design. At the event, the company demonstrated an 8-core version of chip outrunning an Intel Broadwell CPU on Blender, a multi-threaded rendering application.

Intel Unveils Plans for Knights Mill, a Xeon Phi for Deep Learning

At the Intel Developer Forum (IDF) this week in San Francisco, Intel revealed it is working on a new Xeon Phi processor aimed at deep learning applications. Diane Bryant, executive VP and GM of Intel's Data Center Group, unveiled the new chip, known as Knights Mill, during her IDF keynote address on Wednesday.

NVIDIA Rebuts Intel’s Claims of Superiority in Deep Learning

In a blog post by NVIDIA’s Ian Buck, the CUDA creator admonished Intel for some of the GPU-bashing the chipmaker engaged in when it launched Knights Landing at the ISC 2016 conference. During the event, Intel rolled out a number of deep learning performance results that cast the NVIDIA hardware in a bad light against its latest Xeon Phi processor. But as Buck pointed out, Intel invariably made those comparisons against older GPU technology.

Hewlett Packard Enterprise to Acquire SGI: An Interview With HPE's Bill Mannel

Addison Snell and Michael Feldman welcome Bill Mannel of HPE to talk about the company's acquisition of SGI.

NVIDIA Delivers DGX-1 “Supercomputer in a Box” to OpenAI

OpenAI, a non-profit research company devoted to advancing artificial intelligence, has become one of the proud owners of a DGX-1, NVIDIA’s so-called “supercomputer in a box,” a server specifically designed for machine learning work. The system, which was hand-delivered to the company’s headquarters in San Francisco by NVIDIA CEO Jen-Hsun Huang, will be used to run some of OpenAI’s most computationally challenging applications.