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Category Archives for "Networking"

Blockchain, service-centric networking key to IoT success

Connecting and securing the Internet of Things (IoT) should be achieved with a combination of service-centric networking (SCN) along with blockchain, researchers say. `A multi-university, multiple-discipline group led by Zhongxing Ming, a visiting scholar at Princeton University, say IoT’s adoption will face an uphill battle due in part to bottlenecks between potentially billions of devices, along with the mobile nature of much of it.The scientists, who call their IoT architecture Blockcloud, presented their ideas at GENESIS C.A.T., an innovation-in-blockchain technology event recently in Tokyo.To read this article in full, please click here

Don’t Miss Keith Bogart’s Live Webinar! Deciphering Spanning-Tree Technologies

Tune in Tomorrow, May 31st, at 10 am PDT/ 1 pm EDT for a FREE live webinar with expert instructor Keith Bogart (CCIE #4923).

 


About This Webinar:

Understanding the logic of 802.1d and how it builds a loop-free “tree” is critical to passing any Cisco certification exam. Presented by INE instructor Keith Bogart (CCIE #4923), this session will take you through that logic so that, given any bridged/switched layer-2 network, you can predict what tree will be formed. Ask questions live with an experienced industry expert!

Typical EVPN BGP Routing Designs

As discussed in a previous blog post, IETF designed EVPN to be next-generation BGP-based VPN technology providing scalable layer-2 and layer-3 VPN functionality. EVPN was initially designed to be used with MPLS data plane and was later extended to use numerous data plane encapsulations, VXLAN being the most common one.

Design Requirements

Like any other BGP-based solution, EVPN uses BGP to transport endpoint reachability information (customer MAC and IP addresses and prefixes, flooding trees, and multi-attached segments), and relies on an underlying routing protocol to provide BGP next-hop reachability information.

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Nvidia aims to unify AI, HPC computing in HGX-2 server platform

Nvidia is refining its pitch for data-center performance and efficiency with a new server platform, the HGX-2, designed to harness the power of 16 Tesla V100 Tensor Core GPUs to satisfy requirements for both AI and high-performance computing (HPC) workloads.Data-center server makers Lenovo, Supermicro, Wiwynn and QCT said they would ship HGX-2 systems by the end of the year. Some of the biggest customers for HGX-2 systems are likely to be hyperscale providers, so it's no surprise that Foxconn, Inventec, Quanta and Wistron are also expected to manufacture servers that use the new platform for cloud data centers.  The HGX-2 is built using two GPU baseboards that link the Tesla GPUs via NVSwitch interconnect fabric. The HGX-2 baseboards handle 8 processors each, for a total of 16 GPUs. The HGX-1, announced a year ago, handled only 8 GPUs.To read this article in full, please click here

Nvidia aims to unify AI, HPC computing in HGX-2 server platform

Nvidia is refining its pitch for data-center performance and efficiency with a new server platform, the HGX-2, designed to harness the power of 16 Tesla V100 Tensor Core GPUs to satisfy requirements for both AI and high-performance computing (HPC) workloads.Data-center server makers Lenovo, Supermicro, Wiwynn and QCT said they would ship HGX-2 systems by the end of the year. Some of the biggest customers for HGX-2 systems are likely to be hyperscale providers, so it's no surprise that Foxconn, Inventec, Quanta and Wistron are also expected to manufacture servers that use the new platform for cloud data centers.  The HGX-2 is built using two GPU baseboards that link the Tesla GPUs via NVSwitch interconnect fabric. The HGX-2 baseboards handle 8 processors each, for a total of 16 GPUs. The HGX-1, announced a year ago, handled only 8 GPUs.To read this article in full, please click here

Nvidia aims to unify AI, HPC computing in HGX-2 server platform

Nvidia is refining its pitch for data-center performance and efficiency with a new server platform, the HGX-2, designed to harness the power of 16 Tesla V100 Tensor Core GPUs to satisfy requirements for both AI and high-performance computing (HPC) workloads.Data-center server makers Lenovo, Supermicro, Wiwynn and QCT said they would ship HGX-2 systems by the end of the year. Some of the biggest customers for HGX-2 systems are likely to be hyperscale providers, so it's no surprise that Foxconn, Inventec, Quanta and Wistron are also expected to manufacture servers that use the new platform for cloud data centers.  The HGX-2 is built using two GPU baseboards that link the Tesla GPUs via NVSwitch interconnect fabric. The HGX-2 baseboards handle 8 processors each, for a total of 16 GPUs. The HGX-1, announced a year ago, handled only 8 GPUs.To read this article in full, please click here

Nvidia aims to unify AI, HPC computing in HGX-2 server platform

Nvidia is refining its pitch for data-center performance and efficiency with a new server platform, the HGX-2, designed to harness the power of 16 Tesla V100 Tensor Core GPUs to satisfy requirements for both AI and high-performance computing (HPC) workloads.Data-center server makers Lenovo, Supermicro, Wiwynn and QCT said they would ship HGX-2 systems by the end of the year. Some of the biggest customers for HGX-2 systems are likely to be hyperscale providers, so it's no surprise that Foxconn, Inventec, Quanta and Wistron are also expected to manufacture servers that use the new platform for cloud data centers.  The HGX-2 is built using two GPU baseboards that link the Tesla GPUs via NVSwitch interconnect fabric. The HGX-2 baseboards handle 8 processors each, for a total of 16 GPUs. The HGX-1, announced a year ago, handled only 8 GPUs.To read this article in full, please click here

BrandPost: The Next SDN Leap: Automation and Intent-Driven Networking

Without an agile, flexible, and secure network infrastructure, organizations are in danger of falling behind competitors. That’s why many organizations are seeking to transform their businesses with cloud computing and hybrid cloud environments that are more adaptive and flexible. Software-defined networks (SDN) and network functions virtualization (NFV) can ease that path, but it requires automation along with intelligence that understands and can even predict what users and organizations want and need to do.Digital transformation has quickly moved beyond hype to become one of the top business imperatives. “Digital transformation is forcing companies to be agile and move with speed, and the network needs to be equally agile and fast,” writes industry analyst Zeus Kerravala. “The separation of control and data planes enables control to be abstracted away from the device and centralized so a network administrator can issue a change that is propagated instantly across the entire network.”To read this article in full, please click here

IDG Contributor Network: Internet testing results: why fixing the internet middle mile is essential for SD-WAN performance

It’s no secret that the public Internet is a quagmire of latency and packet loss problems. No wonder, many of clients are reluctant to trust Internet-based SD-WANs with VoIP and business-critical applications. After all, how can an SD-WAN running over Internet provide a predictable user experience if the underlying transport is so unpredictable?To answer that question, SD-WAN Experts recently evaluated the performance and stability of long-distance Internet connections. Our goal: to determine the source of the Internet's performance problems by measuring variability and latency in the last and middle miles.What we found was by swapping out the Internet core for a managed middle mile makes an enormous difference. Case in point is Amazon. The latency and variation between our AWS workloads was significantly better across Amazon’s network than the public Internet (see figure). Why that’s the case and how we tested is explained below and in greater depth from this post on our site.To read this article in full, please click here

IDG Contributor Network: Internet testing results: why fixing the internet middle mile is essential for SD-WAN performance

It’s no secret that the public Internet is a quagmire of latency and packet loss problems. No wonder, many of clients are reluctant to trust Internet-based SD-WANs with VoIP and business-critical applications. After all, how can an SD-WAN running over Internet provide a predictable user experience if the underlying transport is so unpredictable?To answer that question, SD-WAN Experts recently evaluated the performance and stability of long-distance Internet connections. Our goal: to determine the source of the Internet's performance problems by measuring variability and latency in the last and middle miles.What we found was by swapping out the Internet core for a managed middle mile makes an enormous difference. Case in point is Amazon. The latency and variation between our AWS workloads was significantly better across Amazon’s network than the public Internet (see figure). Why that’s the case and how we tested is explained below and in greater depth from this post on our site.To read this article in full, please click here

The Virtual Cloud Network Demystified

Introduction

Welcome to Summer 2018!  It’s been nearly one month now since our CEO Pat Gelsinger announced the Virtual Cloud Network vision at Dell Technologies world in Las Vegas.  Essentially the reveal (in my personal opinion) was focused on raising awareness that VMware has now delivered to the market what many of you have heard for quite some time now as “the vision” for networking and security, whereas NSX has become an integral part of many various parts of your business:

Enter stage left, the Virtual Cloud Network.  VCN builds upon the fundamentals you’re already familiar with from NSX—these include (but are not limited to) integrated security, consistent connectivity, and inherit automation, but really focuses on tying together an end-to-end architecture that allows our customers to deliver applications and services everywhere.  Our customers have asked and we have listened… the demand for any infrastructure, any cloud, any transport, any device, and any application has drastically changed the landscape and technologies associated with building/architecting and having a modern enterprise network.

We’ve been quite busy over the past month with lots of interest coming from partners and customers wondering what this really means.  Well today the wait Continue reading

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