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The Buck Stops – And Starts – Here For GPU Compute

Ian Buck doesn’t just run the Tesla accelerated computing business at Nvidia, which is one of the company’s fastest-growing and most profitable products in its twenty five year history. The work that Buck and other researchers started at Stanford University in 2000 and then continued at Nvidia helped to transform a graphics card shader into a parallel compute engine that is helping to solve some of the world’s toughest simulation and machine learning problems.

The annual GPU Technology Conference was held by Nvidia last week, and we sat down and had a chat with Buck about a bunch of things …

The Buck Stops – And Starts – Here For GPU Compute was written by Timothy Prickett Morgan at The Next Platform.

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Extend your security view from the data center to the edge

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Red Hat Rides Containers, Kubernetes, Hybrid Cloud Into the Future

OpenShift, OpenStack, and Ansible were key drivers for 2018 results, with the impending acquisition of CoreOS set to bolster its container and Kubernetes position moving forward.

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Real-time baseline anomaly detection

The screen capture demonstrates the real-time baseline and anomaly detection based on industry standard sFlow streaming telemetry. The chart was generated using sFlow-RT analytics software. The blue line is an up to the second measure of traffic (measured in Bits per Second). The red and gold lines represent dynamic upper and lower limits calculated by the baseline function. The baseline function flags "high" and "low" value anomalies when values move outside the limits. In this case, a "low" value anomaly was flagged for the drop in traffic shown in the chart.

Writing Applications provides a general introduction to sFlow-RT programming. The baseline functionality is exposed through through the JavaScript API.

Create new baseline

baselineCreate(name,window,sensitivity,repeat);

Where:

• name, name used to reference baseline.
• window, the number of previous intervals to consider in calculating the limits.
• sensitivity, the number of standard deviations used to calculate the limits.
• repeat, the number of successive data points outside the limits before flagging anomaly 

In this example, baseline parameter values were window=180 (seconds), sensitivity=2, and repeat=3.

Update baseline

var status = baselineCheck(name,value);

Where:

• status, "learning" while baseline is warming up (takes window intervals),  "normal" if value is in expected range, "low" Continue reading

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We’ve Added a New VMWare Course to Our Video Library!

VMware Cloud on AWS is an on-demand service that enables you to run applications across vSphere-based cloud environments with access to a broad range of AWS services. Powered by VMware Cloud Foundation, this service integrates vSphere, vSAN and NSX along with VMware vCenter management, and is optimized to run on dedicated, elastic, bare-metal AWS infrastructure. With this service, IT teams can manage their cloud-based resources with familiar VMware tools. This course is 2 hours and 25 minutes long and taught by Joseph Holbrook.

 

Why You Should Watch:

VMWare Cloud on AWS allows you take advantage of what you already know and have in your existing infrastructure. Your existing skills, investment in training, operational practices, and investment in software licenses remain relevant and applicable when you move to the public cloud. As part of that move you can forget about building & running data centers, modernizing hardware, and scaling to meet transient or short-term demand. You can also take advantage of a long list of AWS compute, database, analytics, IoT, AI, security, mobile, deployment and application services.

What You’ll Learn:

This course covers the VMware Cloud on AWS service overview, Prereqs, Licensing, SDDC, Hybrid Linked Mode, NSX, Compute Options, Connectivity Continue reading

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GETTING STARTED: ANSIBLE TOWER’S API

Welcome to another entry in the Getting Started series. The API (Application Programming Interface) or, as I like to refer to it, the Magical Land of Automation Information, can be used in quite a few ways. In this Getting Started post, we will be discussing Red Hat Ansible Tower’s API and how you can use it to extract information to utilize in your playbooks and other tools.

The idea for this blog post came about when David Federlein was developing a new Ansible Tower demo and presentation. I will be making references to that codebase, which you can follow along with throughout this post. Please note that this demo utilizes Vagrant and VirtualBox so you’ll need to have those applications installed if you would like to stand up the demo yourself.

Ansible Tower’s API

Ansible Tower’s API is fully browsable. You can navigate to your instance’s REST API by typing this into your browser: http://<Tower server name>/api/v2. Once there, you can click any of the listed links and view the current objects loaded for that particular attribute in Ansible Tower. Everything you can do in Ansible Tower's UI can be done from the API; you can also use it Continue reading

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Worth Reading: Latency wags the dog

The expression, the tail wags the dog, is used when a seemingly unimportant factor or infrequent event actually dominates the situation. It turns out that in modern datacenters, this is precisely the case – with relatively rare events determining overall performance. —Kevin Deierling @The Next Platform

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Momentum for Bioinspired GPU Computing at the Edge

Bioinspired computing is nothing new but with the rise in mainstream interest in machine learning, these architectures and software frameworks are seeing fresh light. This is prompting a new wave of young companies that are cropping up to provide hardware, software, and management tools—something that has also spurred a new era of thinking about AI problems.

We most often think of these innovations happening at the server and datacenter level but more algorithmic work is being done (to suit better embedded hardware) to deploy comprehensive models on mobile devices that allow for long-term learning on single instances of object recognition …

Momentum for Bioinspired GPU Computing at the Edge was written by Nicole Hemsoth at The Next Platform.

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Team ISOC @ APRICOT 2018

Last month in Kathmandu, Nepal, 750 delegates participated in APRICOT 2018 – Asia-Pacific’s largest Internet conference. It was led by Internet Exchange Nepal (npIX) with support from several organizations including the Internet Society (ISOC) Nepal Chapter.

The Internet Society, through its Asia-Pacific Bureau, is a long-term partner of the APRICOT conferences, sponsoring a competitive fellowship programme, as part of the Internet Society’s mission to support capacity building in developing countries. Read more about our fellows at APRICOT 2018:

Meet the APRICOT 2018 Fellows

Team ISOC @ APRICOT 2018 comprised of staff from Regional Bureaus and Internet Technology. This included Andrei Robachevsky, Aftab Siddiqui, Rajnesh Singh, Salam Yamout, and myself.

In line with the Internet Society’s 2018 Action Plan, our core message at APRICOT 2018 was to strengthen the global Internet routing system and mitigate many of the risks facing the Internet’s core today. This includes route hijacking, traffic detouring, and address spoofing – which is a root cause of Distributed Denial of Service (DDOS) attacks. We promoted the Mutually Agreed Norms for Routing Security (MANRS), a set of recommendations addressing these risks, already adopted by some network operators.

Team ISOC took on a wide variety of roles Continue reading

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Arista Announces 25G/100G Hardware for ECMP DC LANs

These should last you a decade or more.

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Cumulus content roundup: April

It’s the beginning of a brand new month, and you know what that means… it’s time for the Cumulus content roundup! This month, we can’t stop talking about leveraging Linux and disaggregation — and it looks like we’re not the only ones who have white-box fever (congrats on joining the movement, Cisco)! All the webinars, videos and white papers you could ask for are included in this roundup, so grab a comfy seat and check out everything that piques your interest.

The latest from Cumulus

The S.O.U.L revolution: The era of oppressive traditional networking ends today! It’s time to add some S.O.U.L to your data center network. What does S.O.U.L stand for? Watch this video to find out and get into the movement that’s revolutionizing the way we think about networking.

Web-scale networking for telco: Cumulus Networks commissioned Heavy Reading to conduct a survey of 70+ IT leaders in the Telco and CSP space to understand what is top of mind in terms of IT priorities. Download this white paper to see what we discovered about their top concerns.

Why Linux in the data center: a fireside chat: Continue reading

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Fueling AI With A New Breed of Accelerated Computing

A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. Cutting-edge innovations are fueling digital transformation on a global scale, and organizations are leveraging faster, more powerful machines to operate more intelligently and effectively than ever.

Recently, Hewlett Packard Enterprise (HPE) has announced the new HPE Apollo 6500 Gen10 server, a groundbreaking platform designed to tackle the most compute-intensive high performance computing (HPC) and deep learning workloads. Deep learning – an exciting development in artificial intelligence (AI) – enables machines to solve highly complex problems quickly by autonomously analyzing …

Fueling AI With A New Breed of Accelerated Computing was written by Timothy Prickett Morgan at The Next Platform.

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IDG Contributor Network: How NFV and interconnection can help you think outside the ‘box’

Networking used to be all about specialized “boxes,” but that era is fading fast.  By a specialized box, I mean a piece of hardware that was built to perform an individual function. Physical firewalls, routers, servers, load balancers, etc., are all examples of these different boxes, and they are still everywhere. But new technology is seriously disrupting the old ways of doing things.Virtualization has made it possible to separate the software functionality of all those boxes from the specific appliance-type hardware in which it resides. Network functions virtualization (NFV) software can replicate an appliance’s function in a more cost-effective commodity server, which is easy to obtain and deploy and can hold the software for numerous functions at once. People like the improved simplicity, cost, agility and speed that comes with this change.To read this article in full, please click here

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IDG Contributor Network: How NFV and interconnection can help you think outside the ‘box’

Networking used to be all about specialized “boxes,” but that era is fading fast.  By a specialized box, I mean a piece of hardware that was built to perform an individual function. Physical firewalls, routers, servers, load balancers, etc., are all examples of these different boxes, and they are still everywhere. But new technology is seriously disrupting the old ways of doing things.Virtualization has made it possible to separate the software functionality of all those boxes from the specific appliance-type hardware in which it resides. Network functions virtualization (NFV) software can replicate an appliance’s function in a more cost-effective commodity server, which is easy to obtain and deploy and can hold the software for numerous functions at once. People like the improved simplicity, cost, agility and speed that comes with this change.To read this article in full, please click here

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Network Analysis Techniques for Large Trace Files

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Network Analysis Techniques for Large Trace Files

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Product–services bundles boost AI

The infrastructure required to run artificial intelligence algorithms and train deep neural networks is so dauntingly complex, that it’s hampering enterprise AI deployments, experts say.“55% of firms have not yet achieved any tangible business outcomes from AI, and 43% say it’s too soon to tell,” says Forrester Research about the challenges of transitioning from AI excitement to tangible, scalable AI success.[ Check out REVIEW: VMware’s vSAN 6.6 and hear IDC’s top 10 data center predictions. | Get regularly scheduled insights by signing up for Network World newsletters. ] “The wrinkle? AI is not a plug-and-play proposition,” the analyst group says. “Unless firms plan, deploy, and govern it correctly, new AI tech will provide meager benefits at best or, at worst, result in unexpected and undesired outcomes.”To read this article in full, please click here

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Product–services bundles boost AI

The infrastructure required to run artificial intelligence algorithms and train deep neural networks is so dauntingly complex, that it’s hampering enterprise AI deployments, experts say.“55% of firms have not yet achieved any tangible business outcomes from AI, and 43% say it’s too soon to tell,” says Forrester Research about the challenges of transitioning from AI excitement to tangible, scalable AI success.[ Check out REVIEW: VMware’s vSAN 6.6 and hear IDC’s top 10 data center predictions . | Get regularly scheduled insights by signing up for Network World newsletters. ] “The wrinkle? AI is not a plug-and-play proposition,” the analyst group says. “Unless firms plan, deploy, and govern it correctly, new AI tech will provide meager benefits at best or, at worst, result in unexpected and undesired outcomes.”To read this article in full, please click here

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New in IPv6: Stable Random IPv6 Addresses on OpenBSD

The idea of generating random IPv6 addresses (so you cannot be tracked across multiple networks based on your MAC address) that stay stable within each subnet (so you don’t pollute everyone’s ND cache every time you open your iPad) is pretty old: RFC 7217 was published almost exactly four years ago.

Linux was quick to pick it up, OpenBSD got RFC 7127 support a few weeks ago. However, there’s an Easter egg in the OpenBSD patches that implement it: SLAAC on OpenBSD now works with any prefix length (not just /64).

Read more ...

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Lumina’s Flow Manager Handles White Boxes, MPLS, and BGP

Lumina can operate a single control plane that software defines the existing routed network and integrates white box switches.