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How Facebook Might Find Nervana For Machine Learning Training

March 25, 2019 Timothy Prickett Morgan 1

There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …

Connect

How To Benefit From Facebook’s New Network Fabric

March 20, 2019 Timothy Prickett Morgan 0

In the modern distributed computing world, which is getting ever more disaggregated and some might say discombobulated, as every day passes, the architecture of the network in the datacenter is arguably the most important factor in determining if applications will perform well or not. …

AI

Inside Facebook’s Future Machine Learning Platforms

March 15, 2019 Timothy Prickett Morgan 0

The hyperscalers and cloud builders of the world build things that often look and feel like supercomputers if you squint your eyes a little, but if you look closely, you can often see some pretty big differences. …

Cloud

The Microserver, Redux And Reconsidered

September 17, 2018 Timothy Prickett Morgan 5

If there is one rule of computing, is that it gets increasingly more expensive and more difficult to scale up performance within a single device or a single server node. …

AI

Facebook Sounds Opening Bell for AI Inference Hardware Makers

September 13, 2018 Nicole Hemsoth Prickett 0

Gentlemen (and women), start your inference engines.

One of the world’s largest buyers of systems is entering evaluation mode for deep learning accelerators to speed services based on trained models. …

AI

Machine Learning Drives Changing Disaster Recovery At Facebook

January 10, 2018 Jeffrey Burt 1

Hyperscalers have billions of users who get access to their services for free, but the funny thing is that these users act like they are paying for it and expect for these services to be always available, no excuses. …

AI

Facebook’s Expanding Machine Learning Infrastructure

January 8, 2018 Nicole Hemsoth Prickett 0

Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. …

Connect

Lessons Learned From Facebook’s Split Network Backbone

May 2, 2017 Timothy Prickett Morgan 0

Distributed applications, whether they are containerized or not, have a lot of benefits when it comes to modularity and scale. …

AI

Machine Learning Gets An InfiniBand Boost With Caffe2

April 19, 2017 Timothy Prickett Morgan 5

Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the hyperscalers of the world who are essentially creating this technology have had to rely on increasingly beefy compute nodes, these days almost universally augmented with GPUs. …

AI

A Look at Facebook’s Interactive Neural Network Visualization System

April 12, 2017 Nicole Hemsoth Prickett 0

There has been much discussion about the “black box” problem of neural networks. …

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The Next Platform is published by Stackhouse Publishing Inc in partnership with the UK’s top technology publication, The Register.

It 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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