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AI

Current Trends in Tools for Large-Scale Machine Learning

February 22, 2017 Panos Labropoulos, PhD Comments Off on Current Trends in Tools for Large-Scale Machine Learning

During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. …

AI

Pushing MPI into the Deep Learning Training Stack

February 7, 2017 Nicole Hemsoth Prickett Comments Off on Pushing MPI into the Deep Learning Training Stack

We have written much about large-scale deep learning implementations over the last couple of years, but one question that is being posed with increasing frequency is how these workloads (training in particular) will scale to many nodes. …

AI

Inside Intel’s Strategy to Integrate Nervana Deep Learning Assets

November 22, 2016 Nicole Hemsoth Prickett 5

There is little doubt that 2017 will be a dense year for deep learning. …

AI

Mainstreaming Machine Learning: Emerging Solutions

November 1, 2016 Thomas Dinsmore Comments Off on Mainstreaming Machine Learning: Emerging Solutions

In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale business settings and have taken an in-depth look at some of the roadblocks on the path to more mainstream machine learning applications. …

AI

Baidu Takes FPGA Approach to Accelerating SQL at Scale

August 24, 2016 Nicole Hemsoth Prickett 2

While much of the work at Baidu we have focused on this year has centered on the Chinese search giant’s deep learning initiatives, many other critical, albeit less bleeding edge applications present true big data challenges. …

AI

FPGA Based Deep Learning Accelerators Take on ASICs

August 23, 2016 Nicole Hemsoth Prickett Comments Off on FPGA Based Deep Learning Accelerators Take on ASICs

Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something designed to fit the specific needs of modern frameworks. …

AI

Why Intel Is Tweaking Xeon Phi For Deep Learning

August 22, 2016 Timothy Prickett Morgan 9

If there is anything that chip giant Intel has learned over the past two decades as it has gradually climbed to dominance in processing in the datacenter, it is ironically that one size most definitely does not fit all. …

AI

Deep Learning Chip Upstart Takes GPUs to Task

August 8, 2016 Nicole Hemsoth Prickett 8

Update – 8/9/16 1:00 p.m. Pacific – Not even 24 hours after this story was posted Intel bought Nervana Systems. …

Cloud

IBM Extends GPU Cloud Capabilities, Targets Machine Learning

May 19, 2016 Nicole Hemsoth Prickett Comments Off on IBM Extends GPU Cloud Capabilities, Targets Machine Learning

As we have noted over the last year in particular, GPUs are set for another tsunami of use cases for server workloads in high performance computing and most recently, machine learning. …

AI

Climate Research Pulls Deep Learning Onto Traditional Supercomputers

May 18, 2016 Nicole Hemsoth Prickett 1

Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. …

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TNP  offers in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Read more…

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