Showing posts with label Edge. Show all posts
Showing posts with label Edge. Show all posts

Sunday, October 17, 2021

Dell Technologies expands its edge portfolio

 Dell Technologies announced a number of additions and enhancements to its edge infrastructure portfolio to help organizations simplify deployments and capture more value from data generated and processed outside the traditional data center and public cloud.  

Highlights:

  • Dell EMC VxRail satellite nodes bring VxRail’s operational model and efficiencies to edge sites with a reduced infrastructure footprint. As the only HCI solution jointly engineered with VMware, VxRail satellite node single-node deployments automate day-to-day operations, health monitoring and lifecycle management from a centralized location without the need for local technical and specialized resources. 
  • Dell Technologies Validated Design for Manufacturing Edge with Litmus helps businesses connect, manage and orchestrate disparate industrial edge devices, data and applications—from the factory floor to the enterprise cloud—with no programming required. Manufacturers can make quick decisions to repair equipment before it fails, improve production quality and save costs with real-time data analytics and centralized device management provided by the enterprise-grade Litmus Industrial IoT edge platform. Built on Dell EMC VxRail or PowerEdge servers, with the option to use VMware Edge Compute Stack, this is the second solution from Dell Technologies to help businesses tackle manufacturing edge deployment complexity. 
  • Dell EMC Edge Gateway helps companies securely connect multiple edge devices across OT and IT environments to provide valuable insights. This compact, 5G capable3, fanless Edge Gateway with 9th Gen Intel Core™ processors is designed to work in industrial environments and withstand temperature ranges from minus 4 to 140 degrees Fahrenheit. The gateway, available direct to customers and through OEM engagements, offers storage and compute capabilities that can run localized data processing and analytics applications, helping solve data collection and processing pain points.
  • Dell EMC Streaming Data Platform (SDP) adds enhanced GPU optimization to ingest streaming video in a lower latency and frame rate environment and support real-time analytics on Dell EMC VxRail and PowerEdge servers. Organizations can run lightweight workloads on a single core using a new edge bundle, so they can start small and scale their infrastructure based on IT needs.
  • Dell Technologies APEX Cloud Services with VMware Cloud, announced at VMworld, provides a Dell-managed secure and consistent platform for organizations to move workloads across multiple cloud and edge environments and scale resources quickly with predictable pricing and transparent costs. Additionally, new Dell EMC PowerEdge tower and rack servers help organizations manage everything from business-critical workloads to virtualization at the edge. 


“The edge is technology’s next great frontier, and it’s all around us, everywhere from retail to manufacturing, smart cities and hospitals,” said Michael Dell, chairman and chief executive officer, Dell Technologies. “At Dell, we’re innovating simple solutions, so organizations can analyze data closer to where it’s created, make faster decisions, improve outcomes and drive progress.

https://corporate.delltechnologies.com/en-us/newsroom/announcements/detailpage.press-releases~usa~2021~10~20211013-dell-technologies-edge-advancements-extend-it-beyond-the-data-center.htm

Monday, October 11, 2021

LF Networking adds Edge Multi-Cluster Orchestrator project

The Edge Multi-Cluster Orchestrator (EMCO) project will join LF Networking (LFN).

EMCO aims to create a universal control plane that helps organizations to securely connect and deploy workloads across public clouds, private clouds and edge locations, with end to end inter-application communication enabled. Intel seeded code for the project. Aarna Networks is also a contributor.

“As the industry continues to evolve with even greater demands on networks, open source solutions offer a flexible, scalable model to support increasing needs,” said Arpit Joshipura, general manager, Networking, Edge, and IoT, the Linux Foundation. “LFN and its growing community are pleased to welcome EMCO to the LFN roster, embracing the challenge, continuing to evolve its ecosystem with the projects and initiatives that will help carriers and vendors meet tomorrow’s needs.”  

“With the increasing adoption of cloud native technologies for building network, edge and IOT applications, having the ability to easily distribute applications across hybrid cloud or multi-cloud deployments can offer increased flexibility and scale,” said Rajesh Gadiyar, VP/CTO in Intel’s Network Platforms Group. “With very few established, truly independent open-source frameworks available today, the Edge Multi-Cluster Orchestrator (EMCO) is a notable tool for intent-based deployment of cloud-native applications to a set of Kubernetes clusters spanningenterprise data centers, multiple cloud service providers and numerous edge locations. It is architected to be flexible, modular and highly scalable.”

“There is a gap in the industry for a cloud native edge orchestration solution that works across a large number of edge and core sites,” said Amar Kapadia co-founder and CEO and Aarna Networks, Inc. “The LF Networking EMCO project fills this gap with an open source approach that includes multiple users and vendors.”

https://www.lfnetworking.org/

Tuesday, August 24, 2021

Arista expands its R3-Series routers for next-gen edge

 Arista Networks introduced new routers and enhancements to its EOS (Extensible Operating System) for next-generation network edge roles in the multi-cloud era. 

The new capabilities for virtual private networking and traffic engineering enable three additional edge use cases for multi cloud, metro and 5G RAN based on Arista’s cloud-grade routing principles.

  • Multi Cloud Edge: Demand for public cloud services is creating the new cloud edge, created by the cloud footprint at the network edge to deliver services closer to the end customer. Cloud edges are being built globally, with 100G/400G directly connecting to the cloud, based on a repeatable Layer 3 architecture, common software-driven provisioning and programmatic traffic steering, to deliver uninterrupted service that scales globally.
  • Metro Edge: Legacy router designs are degrading quality and end-user experiences for service providers. To meet the new bandwidth demand and faster connectivity for E-LINE and E-LAN services, service providers are upgrading their metro ethernet edge with Capex efficient, high density merchant silicon-based 100G/400G routing platforms. Additionally, to achieve Opex efficiency, service providers are simplifying protocol complexity by adopting a single protocol for multiple edge VPN services and driving consistent automation for the metro fabric - the combination for faster and scalable service delivery.
  • 5G RAN Edge: 5G architecture is disaggregating traditional mobile backhaul, bringing the public cloud footprint in the RAN (Radio Access Network) for real-time localized service updates. To address bandwidth demand from distributed nodes and a radically scaled user/device and traffic profiles, 5G edge requires scale-out repeatable routing design with high speed, high-performance connectivity, a single OS for open standards-based protocols, and consistent automation framework across the mobile backhaul and Multi-access Edge Compute (MEC) deployments, enabling Opex efficiency and faster time to market for new services.

The features for the new routing use cases are available now in the latest EOS release.

Additions and updates to the Arista R3-Series include:

7800R3 and 7500R3 modular systems scaling to 460Tbps of capacity

  • New 7500R3 and 7800R3 line cards with native 25G SFP ports for flexible scaleout of edge routing applications
  • Expanded 7800R3 range with 16-slots for up to 576 400G or 768 100G ports

7280R3 Series of 1U and 2U systems scales up to 9.6Tbps with 24 ports of 400G in 1U and with newly released options expanding the solutions for network edge

  • 7280CR3MK-32P4S and 7280CR3MK-32D4S with 32 100G ports and four 400G ports providing both routing scale and integrated MACsec encryption at 100G
  • 7280CR3-36S and 7280CR3K-36S, offering 36 100G ports and flexible port modes for all network edge roles from 10G to 400G
  • 7280SR3M-48YC8, offering 48 25G ports plus 8 100G ports with MACsec encryption
  • 7280SR3-40YC6, offering 40 25G ports plus 6 100G ports for aggregation and access deployment
https://www.arista.com/en/company/news/press-release/12922-pr-20210824

Monday, August 23, 2021

IDC forecasts Managed Edge Services market to reach $2.8B in 2025

Worldwide revenues for managed edge services will reach $445.3 million in 2021, an increase of 43.5% over 2020, according to a new forecast from International Data Corporation (IDC). Over the 2021-2025 forecast period, the compound annual growth rate (CAGR) for managed edge services is expected to be 55.1%.

IDC said it believes public cloud providers, or hyperscalers, will be key enablers of edge services through the partnerships they are establishing with 5G service providers. 


"Managed edge services represent a significant monetization opportunity for service providers to capitalize on their investment in edge compute," says Ghassan Abdo, research vice president, Worldwide Telecom, Virtualization, and CDN, IDC. "At the same time, service providers are keenly aware of the potential impact of the edge on their current market position and are watching closely for unforeseen competition from adjacent markets and new disruptors. Technology vendors including network equipment providers (NEPs) and software, datacenter, and networking vendors are vying to shape this market and play a significant role in delivering innovative edge services."

IDC identified three primary deployment models for managed edge services.

  • On-premises deployment: This represents managed edge use cases where the edge compute infrastructure is deployed at the enterprises' premises, also referred to as private deployment. This deployment model is intended to address the need for extra low latency and is applicable to industrial use cases, healthcare, and AR/VR applications.
  • Service provider edge deployment: This represents managed edge services provided by edge compute deployed at the provider edge, both fixed and mobile. IDC expects this deployment model to spur development of a wide range of vertical use cases.
  • CDN edge deployment: This represents managed edge services provided by edge compute deployed at the CDN POPs or edge locations. These use cases will enhance content delivery with personalized, high-fidelity, and interactive rich media customer experience.

IDC projects the on-premises edge to be the fastest-growing segment with a five-year CAGR of 74.5%. The service provider edge will be the second-fastest growing segment with a CAGR of 59.2%, which will enable it to become the largest market segment by 2022. The CDN edge segment is expected to have a five-year CAGR of 41.9%.

https://www.idc.com/getdoc.jsp?containerId=prUS48179321


Thursday, August 5, 2021

Verizon and AWS expand their mobile edge to 13 metros

Verizon and AWS are now covering 13 of top 20 U.S. metro areas with mobile edge computing.


Verizon 5G Edge, a real-time cloud computing platform, with AWS Wavelength brings AWS compute and storage services to the edge of Verizon’s wireless network. In addition, Verizon is now offering a 5G Edge Discovery Service that seamlessly discovers the optimal MEC location for any Verizon mobile client. 

“Companies in every industry are finding exciting ways to bring 5G and 5G Edge to life - leveraging the full capabilities of 5G from throughput and low latency to strong reliability,” said Sampath Sowmyanarayan, Chief Revenue Officer of Verizon Business. “By unlocking the full power of 5G with edge cloud computing, developers can rapidly innovate and build apps and services that take advantage of 5G to improve performance, and create new revenue streams.”

“AWS Wavelength brings AWS services to the edge of 5G networks in any region so that customers like Morehouse and Aetho can build ultra-low-latency applications and transform consumers’ experiences,” said George Elissaios, general manager of AWS Wavelength and Director of Product Management, AWS. “AWS is excited to continue our collaboration with Verizon so that even more developers across the U.S. can bring powerful cloud-based applications to the edge with extreme low latency and high performance.”




Wednesday, June 9, 2021

Xilinx debuts Versal AI Edge series processors

Xilinx introduced the Versal AI Edge series processors, boasting 4X the AI performance-per-watt versus GPUs and 10X greater compute density versus previous-generation adaptive SoCs.

Xilinx is positioning the new Versal AI Edge adaptive compute acceleration platforms (ACAPs) for a range of applications including: automated driving with the highest levels of functional safety, collaborative robotics, predictive factory and healthcare systems, and multi-mission payloads for the aerospace and defense markets. The portfolio features AI Engine-ML to deliver 4X machine learning compute compared to the previous AI Engine architecture and integrates new accelerator RAM with an enhanced memory hierarchy for evolving AI algorithms. These architectural innovations deliver up to 4X AI performance-per-watt versus GPUs and lower latency resulting in far more capable devices at the edge.

"Edge computing applications require an architecture that can evolve to address new requirements and scenarios with a blend of flexible compute processing within tight thermal and latency constraints,” said Sumit Shah, senior director, Product Management and Marketing at Xilinx. “The Versal AI Edge series delivers these key attributes for a wide range of applications requiring greater intelligence, making it a critical addition to the Versal portfolio with devices that scale from intelligent edge sensors to CPU accelerators.”

The Versal AI Edge series takes the production-proven 7nm Versal architecture and miniaturizes it for AI compute at low latency, all with power efficiency as low as six watts and safety and security measures required in edge applications. As a heterogeneous platform with diverse processors, the Versal AI Edge series matches the engine to the algorithm, with Scalar Engines for embedded compute, Adaptable Engines for sensor fusion and hardware adaptability, and Intelligent Engines for AI inference that scales up to 479 (INT4) TOPS2—unmatched by ASSPs and GPUs targeting edge applications—and for advanced signal processing workloads for vision, radar, LiDAR, and software defined radio.

Sampling is available to early access customers, with shipments expected during the first half of 2022.

https://www.xilinx.com/versal-ai-edge

Tuesday, April 20, 2021

Xilinx introduces adaptive system-on-modules for edge

Xilinx introduced its "Kria" portfolio of adaptive system-on-modules (SOMs), production-ready small form factor embedded boards for edge-based applications. 

The Xilinx SOM roadmap includes a full range of products, from cost-optimized SOMs for size and cost-constrained applications to higher performance modules that will offer developers more real-time compute capability per watt. 

The first product available in the Kria SOM portfolio, the Kria K26 SOM, specifically targets vision AI applications in smart cities and smart factories. It is built on top of the Zynq UltraScale+ MPSoC architecture, which features a quad-core Arm Cortex-A53 processor, more than 250 thousand logic cells, and a H.264/265 video codec. The SOM also features 4GB of DDR4 memory and 245 IOs, which allow it to adapt to virtually any sensor or interface. With 1.4 tera-ops of AI compute, the Kria K26 SOM enables developers to create vision AI applications offering more than 3X higher performance at lower latency and power compared to GPU-based SOMs, critical for smart vision applications like security, traffic and city cameras, retail analytics, machine vision, and vision guided robotics.

“Xilinx’s entrance into the burgeoning SOM market builds on our evolution beyond the chip-level business that began with our Alveo boards for the data center and continues with the introduction of complete board-level solutions for embedded systems,” said Kirk Saban, vice president, Product and Platform Marketing at Xilinx. “The Kria SOM portfolio expands our market reach into more edge applications and will make the power of adaptable hardware accessible to millions of software and AI developers.”

http://www.xilinx.com/kria

Monday, January 11, 2021

Video: Four Key Things to Know about Edge Data Center Networking

The buildout of edge data centers will be one of the big investment trends for 2021. In this 3-minute clip, Mike Capuano, Chief Marketing Officer of Pluribus Networks, outlines 4 key things to know about edge data center networking.

See video: https://youtu.be/rGEv052x0Uk

Download our free 2020 Next-Gen Edge and Beyond Report here: http://ngi.how/edge-2020

Wednesday, December 16, 2020

Samsung and IBM team on 5G, edge and hybrid cloud

 Samsung Electronics and IBM announced a collaboration to provide enterprises with new solutions for mobile edge computing and end-to-end private 5G networks that run on open architecture and empower workers through 5G-enabled Samsung Galaxy devices.

The collaboration will combine Samsung’s Galaxy 5G mobile devices and advanced end-to-end enterprise network solutions with IBM’s network management, hybrid cloud, and edge computing offerings and network expertise, as well as its industry solutions driven by artificial intelligence, and Red Hat’s open architecture. The goal is to develop open, hybrid cloud solutions that enable enterprises to draw greater insights from data at the edge – from the factory floor to an oil rig or a regular office space – to improve operational performance, increase worker safety, and minimize downtime. Both companies also plan to explore how manufacturers can use private 5G or 4G networks and 5G mobile devices with Industrial IoT (IIoT) solutions.

 “The move to standalone 5G has accelerated the adoption of IIoT solutions and will require businesses to adopt an edge computing strategy that allows them to manage their IT environments from anywhere,” said KC Choi, EVP and Head of Global Mobile B2B Team, Mobile Communications Business at Samsung Electronics. “We are excited to work with IBM to discover how our unique devices, mobile IoT and network solutions can provide frontline workers with access to better data and more actionable insights to take their business to the next level.”

https://news.samsung.com/global/samsung-and-ibm-plan-to-help-businesses-embrace-the-fourth-industrial-revolution

Tuesday, December 8, 2020

Arm perspective on Next-Gen Edge: Portability is Key

As we think about moving computing from the core data centers to the edge, portability will be key to building out edge infrastructure. In this video, Chris Bergey, SVP/GM Infrastructure Line of Business at Arm, talks about the concept of portability as illustrated in Arm's Project Cassini which brings cloud-native technologies to the edge to enable a secure and portable computing environment.

https://youtu.be/LUY1zJvYQqI






Marvell ships its next gen access and metro Ethernet switching silicon

Marvell is now shipping its latest generation Prestera DX 7300 series of Ethernet switches for 5G carrier access and metro networks. Significantly, the new switches incorporate accurate time-sensitive features, integrated MACsec and advanced processing functionality, and support for 400G coherent optics.

Key features of the Prestera DX 7300 series 

  • ITU-T G.8273.2 Class C PTP/SyncE, Time Sensitive Networking (802.1CM) compliance for precise 5G timing
  • Advanced security with secure boot and integrated 802.1ae 256b MACsec engines for Layer2 data encryption
  • Segment Routing (SRV6) for advanced traffic engineering and service chaining
  • Enhanced network telemetry and intelligence for actionable metadata exports
  • 56Gbps PAM4 SerDes supporting port speeds up to 400Gbps
  • Flexible I/O speeds 1G/2.5/5/10/25/50/100/400G

Marvell notes that to support the new RAN deployment models for radio access fronthaul applications, its Prestera DX 7300 family integrates highly accurate time synchronization, 802.1CM Time-Sensitive-Network (TSN) for fronthaul, network slicing and native eCPRI-aware processing. The switches are part of Marvell's open radio access network (open RAN) and virtualized radio access network (vRAN) platform solutions, also announced today.

The Prestera DX 7300 series of switches integrate 56Gbps SerDes, high-capacity MACsec and advanced processing that can be matched with pluggable 400G-ZR optical modules. This functionality enables system manufacturers to develop solutions for multi-access edge computing (MEC) and data center interconnect (DCI) applications that benefit from traffic efficiency, openness and the optimized cost structure of packet Ethernet networks.

"As 5G brings rigorous data protection and performance demands to the transport network, the infrastructure has to meet the requirements for secured communications at higher speeds and data rates to support emerging use cases," said Guy Azrad, general manager and senior vice president of Switching at Marvell. "Our newest Prestera family offers the most secured switching solution with the high-speed interfaces needed to fulfill 5G potential at the industry's lowest power and footprint available today."


Thursday, November 12, 2020

Nokia touts AVA Quality of Experience at the Edge

Nokia announced the AVA QoE at the Edge service, which enables automated actions to fix customer issues instantly.

Nokia says deployment of its AVA algorithms on traditional network architectures has achieved a 59 percent reduction in Netflix buffering and 15 percent fewer YouTube sessions that suffer from long playback. 

Nokia AVA QoE at the Edge brings “code to where the data is”, deploying Machine Learning (ML) algorithms at the network edge to enable real-time automated actions. The solution also eases the data burden on CSPs, with an exponential reduction in the volume of user plane data required to feed ML models. 

Dennis Lorenzin, Head of Network Cognitive Services, Global Services, Nokia, said: “Today, many CSPs are keen to launch new low latency services to their customers. With Nokia’s AVA QoE at the Edge, we bring AI to the edge, so CSPs can deliver personalized 5G experiences and guaranteed performance.”

Nokia introduces “AI-as-a-service” for telcos

Nokia introduced a set of AI capabilities for helping service providers to automate their network with cloud scalability. This framework provides an end-to-end service view with near real-time impact correlation for better visibility and control, supported by Nokia’s extensive library of AI use cases.

The new Nokia AVA 5G Cognitive Operations offering anticipates network and service failures with a high level of precision and accuracy up to seven days in advance. If failures arise, Nokia 5G Cognitive Operations can solve them up to 50 percent faster and accurately assess the impact on customers and services. The insights provided will help support CSPs with their slice creation, with an intelligent provisioning system identifying network resources, what SLAs can be committed and where new revenue opportunities can be found. Future capability will also enable CSPs to customize slice creation, providing different SLA levels based on unique user requirements.

Nokia is currently hosting the new capabilities in Microsoft Azure but says other public and private cloud options are possible.

“Operators face a perfect storm of rising traffic and consumer expectations, so it is crucial to be able to predict and prevent service degradations at an earlier stage, while solving issues that arise significantly faster. Nokia AVA 5G Cognitive Operations enables CSPs to operate and assure latency for 5G use cases through AI, ultimately delivering an enhanced customer experience for consumers and enterprises,” states Dennis Lorenzin, Head of Network Cognitive Service unit at Nokia.

Nokia claims that CSPs trialing the service have seen a 20 percent reduction in customer complaints and a 10 percent reduction in costly site visits.

Monday, October 26, 2020

TIP Video: Building an Open Edge

David Hutton, Chief Engineer at Telecom Infra Project (TIP), discusses edge computing benefits as well as the ongoing efforts of TIP project groups such as Open Core Network and OpenRAN. 

In this three-minute video, Hutton shares how there’s a real opportunity for operators to unite on a platform-based approach for edge computing and discusses how an open ecosystem can evolve to serve new use cases.


https://youtu.be/3b8fAMiYeRU


Tuesday, October 20, 2020

Microsoft announces Azure Modular Datacenter for remote areas

Microsoft announced Azure Modular Datacenter (MDC) for bringing cloud computing capabilities into hybrid or challenging environments, including remote areas. 

Azure MDC is a self-contained datacenter unit that can operate in a wide range of climates and harsh conditions in a ruggedized, radio frequency (RF) shielded unit. 

MDC is designed so that it can run with full network connectivity, occasionally connected or fully disconnected. Microsoft said it is partnering with satellite operators to provide an option for secure and reliable connectivity to field deployed MDC units.

In addition, Microsoft announced a partnership with SpaceX Starlink to provide low-latency satellite broadband for the new Azure MDC.

https://azure.microsoft.com/en-us/blog/introducing-the-microsoft-azure-modular-datacenter/

Monday, October 19, 2020

Verizon brings 5G Edge to Microsoft Azure

Verizon is integrating its on-site 5G Edge network with Microsoft's Azure edge services to enable ultra-low latency services for enterprises.

The companies said their collaboration brings a mobile edge computing platform designed to enable developers to build applications for mobile end-users and wireless edge devices with ultra-low latency.

“We have built a network that provides real-world, 5G-enabled solutions TODAY,” said Rima Qureshi, EVP and Chief Strategy Officer at Verizon. “By bringing together Verizon’s 5G network and on-site 5G Edge platform with Microsoft’s expertise in cloud services, we will enable the development of the next generation technologies everyone has been envisioning.”

“By leveraging Verizon’s 5G network integrated with Microsoft’s cloud and edge capabilities, developers and businesses can benefit from fast, secure and reliable connections to deliver seamless digital experiences from massive industrial IoT workloads to precision medicine,” said Yousef Khalidi, corporate vice president Azure for Operators at Microsoft.

Verizon said it is also exploring opportunities to co-innovate with Microsoft to deliver new value to industries ranging from manufacturing to healthcare.

AWS Wavelength Zones open in Boston & San Francisco

Amazon announced that the first two AWS Wavelength Zones are now open, one in Boston and the other in San Francisco. The new zones will allow developers who want to build apps to service Verizon Wireless customers in those metropolitan areas.

AWS Wavelength Zones, which were first announced at AWS re:Invent 2019,  allow 5G operators to embed AWS hardware and software in their datacenters. The goal is to allow developers to build and deliver applications that can benefit from ultra-low latency.

Each WZ is associated with a specific AWS region known as the parent region. This is US East (N. Virginia) for the Wavelength Zone in Boston, and US West (N. California) for the AZ in San Francisco.

https://aws.amazon.com/blogs/aws/aws-wavelength-zones-are-now-open-in-boston-san-francisco/

Verizon to offer 5G network edge computing with AWS Wavelength

Verizon will be the first carrier to offer the new AWS Wavelength service to provide developers the ability to deploy applications that require ultra-low latency to mobile devices using 5G.  The service targets latency-sensitive use cases like machine learning inference at the edge, autonomous industrial equipment, smart cars and cities, Internet of Things (IoT), and augmented and virtual reality. The idea is to position AWS compute and storage services at the edge of Verizon’s 5G network.

The companies are currently piloting AWS Wavelength on Verizon’s edge compute platform, 5G Edge, in Chicago for a select group of customers, including video game publisher Bethesda Softworks and the National Football League (NFL). Additional deployments are planned in other locations across the U.S. in 2020.

Verizon 5G Edge provides mobile edge computing and an efficient high-volume connection between users, devices, and applications. AWS Wavelength lets customers deploy the parts of an application that require ultra-low latency to the edge of the network and then seamlessly connect back to the full range of cloud services running in AWS.

AWS also listed Vodafone Business, KDDI, and SK Telecom as partners.

Thursday, October 15, 2020

Perspective: Growth occurs at the cloud edge

by Hitendra “Sonny” Soni, senior vice president worldwide sales and marketing, Kaloom

Elvis Presley sang the song “If I can dream” in ‘68, inspired by the turmoil a growing nation was going through. In today’s pandemic reality, connectivity has become more important than ever, but innovation needs to take place at multiple levels to get us where we need to be.

When our startup was founded, the assumptions that SDN and NFV would deliver programmability, automation, drive down costs and disrupt vendor lock-in had not yet materialized despite years of effort from the networking community. 

While SDN promised the Net Ops engineer’s dream of a truly programmable network, it initially enabled just a limited amount of additional software control and flexibility. Without programmability, the hardware could only perform the functions it was created with and networking would continue to lag behind the rapid advances made in other cloud technologies such as storage, compute and application development. 

Gartner comments about SDN’s “Plateau of Productivity” on the analyst firm’s famous hype-cycle curve has led to multiple pundit headlines such as “SDN is dead, long live SDN” and my personal favorite “SDN has left the building.” However, these are not just about naming nuances. They represent the true pitfalls of SDN as it was originally intended – specifically taking so long to mature, being difficult to operationalize and not delivering on lowering networking’s costs.  

Whatever you were doing, or wanted to do, in software you couldn’t change what the non-programmable chip/hardware was capable of. This meant that the much-anticipated rapid innovation pace of software development and open source collaboration that were supposed to accelerate networking capabilities were still hamstrung by a years-long hardware product cycle. If I could dream of a truly cloud-native programmable fabric, here are five characteristics that cloud-native edge solutions would look like. 

1. Open Source 

The real vision of SDN and NFV is built on community-based, open-source standards such as those from the IETF, ONF, The Broadband Forum, The Linux Foundation, and many others.

Recent years have seen an entire ecosystem of truly open-source, collaborative communities geared towards solving the challenges created by SDN’s initial vision. In fact, there are so many “.orgs” working on this that it can be confusing for service providers to decide which one to use to address each of its various needs. Today, many of these have joined, merged, or collaborated with the IEEE, Open Networking Foundation (ONF), Apache, Linux and – in the case of Kubernetes – its Cloud Native Computing Foundation (CNCF), among others. 

2. Live Truly on the Edge

New 5G-enabled apps require extreme low latency which demands a distributed edge architecture that puts applications close to their data source and end users. We can’t have autonomous vehicles or other mission-critical manufacturing apps experiencing loss of signal, network interruptions or increased latency. The delicacy of their connection to the network must be automatically prioritized. Workloads need to be managed and decisions made at edge-level precision which requires an end-to-end latency below 10 milliseconds. Much of our public cloud infrastructure today is not yet set up for this. 

For example, the latency from New-York to Amazon Web Services or Microsoft Azure in Northern - Virginia is greater than 20 milliseconds. Simply not good enough. The image below, which is taken from The Linux Foundation’s State of the Edge (SOTE) 2020 report, demonstrates the importance of low latency in supporting next-gen applications.

 3. Make Real-Business ‘Cents

At the moment, the 5G business case is simply not justified, and carriers will not deploy true nationwide 5G because there is no demand for it yet and there needs to be an opportunity to monetize. For example, service providers’ revenues from smartphone users running 3G/4G were about $50 per month. However, connected cars will only generate about $1 or $2 per month, and installing 5G requires extreme amounts of upfront investments, not only in antennas but also in the backend servers, storage, and networking switches required to support these apps. The reality is that 5G will requires a 10x reduced total cost of ownership for the infrastructure deployments to be profitable.  

To succeed any new technology must deliver significant economic disruption. One example of this is network slicing, or partitioning network architectures into virtual data centers while using the same shared physical infrastructure. With 5G-enabled secure, end to end, fully isolated network slicing, it’s conceivable that different service providers – for example MVNOs – could share the same physical network resources while maintaining different SLAs and offering differentiated services. They could also share a half- or full rack, depending on how many servers their apps require. This could enable initial 5G service rollouts while minimizing costs, and risks, via shared infrastructure.

4. Be Green

If there is anything this pandemic has taught us, it is that efficiency is king. We all stopped and realized just how much we needed to get by and how much was wasted. As the global manufacturing economy came to an abrupt halt in early 2020, we turned our focus on critical infrastructure. In that light, many local central offices (COs) are nearly maxed-out in terms of available space, power and cooling, leaving little room to support additional rack units (RUs). 

In fact, large regional cloud facilities were not built for the new distributed edge paradigm and service providers’ legacy Central Office (CO) architectures are even more ill-suited for the shift. Containing an odd mishmash of old and new equipment from each decade going back at least 50 years, these facilities are also typically near the limit of their space, power and cooling requirements.

This major buildup to 5G-supported edge infrastructure will have an extremely negative impact on the environment in terms of energy consumption. According to the Linux Foundation’s State of the Edge 2020 report, by 2028 it will consume 102,000 megawatts of power and over $700 billion in cumulative CAPEX will be spent within the next decade on edge IT infrastructure and data center facilities.  We need technology that can dramatically and rapidly reduce the power required to provide these new 5G services and apps to consumers and enterprises. This image, also from the SOTE2020 report, shows the massive need for more power to support 5G and its next-gen apps. 


5. Built on Collaboration

The “edge” is complicated and in many cases cloud players and telcos have yet to fully comprehend how to manage distributed edge locations and the next-generation of applications they will run. In order to truly succeed this dream takes a village to build, where carriers, network operators and cloud-native solution providers work together. Because if we dream it, we can build it. We truly believe in our calling and we may yet get to that promised land. Ok, that is the last Elvis pundit for this post. Thank you very much. 


Hitendra “Sonny” Soni is the Senior Vice President of Worldwide Sales and Marketing at Kaloom. With over 25 years of experience in sales, business development and marketing in the data center and cloud networking, converged infrastructures and management solutions, Sonny is a passionate entrepreneur, who has spent his entire career bringing innovative technology to the market.


Monday, October 5, 2020

NVIDIA envisions EDGE AI with servers under Fleet Command service

NVIDIA announced growing momentum for its EGX edge AI platform, bringing a new wave of secure, GPU-accelerated software, services and servers to enterprise and edge data centers. The company cites traction from  AI, 5G, CloudRAN, security and networking companies who are teaming with major server manufacturers, including Dell Technologies, Inspur, Lenovo and Supermicro, as well as leading software infrastructure providers, including Canonical, Cloudera, Red Hat, SUSE and VMware, to leverage the NVIDIA EGX platform in edge applications.

NVIDIA also announced that the EGX platform is expanding to combine the NVIDIA Ampere architecture GPU and BlueField-2 DPU capabilities on a single PCIe card, giving enterprises a common platform to build secure, accelerated data centers. BlueField-2 DPUs include powerful Arm CPU cores that can be used to create a trusted enclave for AI inference models running on the GPU.

“Companies around the world will come to use AI to improve virtually every aspect of their business,” said Jensen Huang, founder and CEO of NVIDIA, who unveiled the news in his keynote at the GPU Technology Conference. “To support this massive shift, NVIDIA has created an accelerated computing platform that helps companies modernize their data centers and deploy AI anywhere.”

Servers in many locations

Rather than having 10,000 servers in one location, future enterprise data centers will have one or more servers across 10,000 different locations, including inside office buildings, factories, warehouses, cell towers, schools, stores and banks.

To simplify and secure the deployment and management of AI applications and models on these servers at scale, NVIDIA will offer a new service called NVIDIA Fleet Command with a unified control plane to centralize the management of servers spread across vast areas, including factories, hospitals, retail stores and even city streets. Fleet Command promises one-touch provisioning, over-the-air software updates, remote management and detailed monitoring dashboards for AI applications.


Tuesday, September 22, 2020

Verizon expands 5G Edge with AWS Wavelength in Atlanta, NY, DC

 Verizon has added AWS Wavelength capabilities in three new locations: Atlanta, New York and Washington, DC. Verizon and AWS launched the mobile edge computing (MEC) platform last month in Boston and the Bay Area and plan to add five more cities by year end.

The AWS Wavelength service targets latency-sensitive use cases like machine learning inference at the edge, autonomous industrial equipment, smart cars and cities, Internet of Things (IoT), and augmented and virtual reality. The idea is to position AWS compute and storage services at the edge of Verizon’s 5G network.

The companies said that by moving AWS compute and storage services to the edge of Verizon’s 5G Ultra Wideband network, innovators can develop applications with ultra-low latencies that will support next generation use cases ranging from self-driving cars to autonomous industrial equipment. Three examples:

  • Zixi’s Software-Defined Video Platform (SDVP) enables live broadcast-quality video delivery over any IP network. The company’s currently testing how a major broadcaster’s 4K live broadcast feed can be delivered over 5G using AWS Wavelength. The end game is to test how content providers can distribute live streams across broadcast media workflows with super-low latency without the need for satellites.
  • YBVR is building a next-generation VR video platform and is testing how they can utilize 5G and Wavelength to stream live 8K Ultra HD (UHD) video to sports fans and concert goers, allowing simultaneous users to choose various camera views with ultra-low latency.
  • CrowdVision is testing how 5G and AWS Wavelength can provide the throughput and low latency needed to help detect pedestrian movements using video or LiDAR and artificial intelligence to provide live data about everything from crowd congestion to traffic flows, queues and wait times in venues like airports and arenas.

“Watching businesses build transformational applications on the world’s first 5G mobile edge computing platform with AWS Wavelength shows how our 5G Ultra Wideband network matters to customers TODAY and is already impacting how businesses operate and consumers live, work and play,” said Tami Erwin, CEO of Verizon Business. “When it comes to innovating on 5G and MEC, we’re only scratching the surface.”

Thursday, August 20, 2020

Global investment firm acquires EdgeConneX for edge data centers

EQT, a global investment firm with more than EUR 62 billion in raised capital, agreed to acquire EdgeConneX, a leading global data center provider operating and developing over 40 facilities in 33 markets across North America, Europe and South America.  EQT is acquiring EdgeConneX from an investor group led by Providence Equity Partners.

Jan Vesely, Partner at EQT Partners, said, “EQT has followed EdgeConneX’s journey from its early years to its growth into a top data center industry player. We are deeply impressed by EdgeConneX’s management team and the success they have had in creating a key contributor to the global cloud infrastructure. This partnership represents an exciting opportunity for EQT in a sector and geographies where we have significant experience. EQT looks forward to working with the team in continuing to grow the business and identify new expansion opportunities”.

Randy Brouckman, CEO of EdgeConneX, said, “EQT brings significant financial resources and digital infrastructure industry experience which EdgeConneX will use to accelerate growth and invest in new data centers around the world. I look forward to continuing to lead EdgeConneX and we are very pleased to have EQT as our new owner and partner in this exciting growth phase. On behalf of EdgeConneX, I thank our outstanding customers and partners, dedicated employees and long-term shareholders that gave us the latitude to succeed and create lasting value”.

Monday, August 17, 2020

Red Hat builds edge use cases with new Kubernetes capabilities

Red Hat unveiled new products and capabilities aimed at helping enterprises launch edge computing strategies built on an open hybrid cloud backbone, including new features in Red Hat OpenShift and Red Hat Advanced Cluster Management for Kubernetes.

Red Hat said it believes that Kubernetes and its supporting technologies provide a perfect blend of power, reliability and innovation for edge computing, highlighted by the latest enhancements to Red Hat OpenShift and the newly-launched Red Hat Advanced Cluster Management for Kubernetes.

Red Hat’s new capabilities intended for edge use cases include:

  • 3-node cluster support within Red Hat OpenShift 4.5, bringing the full capabilities of enterprise Kubernetes to bear at the network’s edge in a smaller footprint. Combining supervisor and worker nodes, 3-node clusters scale down the size of a Kubernetes deployment without compromising on capabilities, making it ideal for edge sites that are space-constrained while still needing the breadth of Kubernetes features.
  • Management of thousands of edge sites with Red Hat Advanced Cluster Management for Kubernetes along with core sites via a single consistent view across the hybrid cloud making highly scaled-out edge architectures as manageable, consistent, compliant and secure as standard datacenter deployments.
  • Evolving the operating system to meet the demands of the edge with the continued leadership and innovation of Red Hat Enterprise Linux, backed by the platform’s long history of running remote workloads.