Tuesday, July 12, 2022

Deutsche Telekom to test 5G Standalone with Google Cloud

Deutsche Telekom and Google Cloud  announced an expanded partnership focused on the following areas: 

  • Core Network Services: Deutsche Telekom and Google Cloud will jointly pilot several network services such as 5G Standalone in Austria, as well as remote packet gateway functions, leveraging Google Cloud and Google Distributed Cloud Edge, a fully managed product that brings Google Cloud’s infrastructure and services closer to where data is being generated and consumed. 
  • Network Analytics: Through Google Cloud’s extensive expertise in data analytics, Deutsche Telekom will gain an even-deeper understanding of its networks to achieve accurate planning, optimized operations, and better customer experience management. Deutsche Telekom will pilot several use cases regarding anomaly detection, performance counter, and trace data in a first step in utilizing data-driven operations and automated workflows with open, Kubernetes-based solutions offered by Google Cloud. 
  • Customer Experience Analytics: Deutsche Telekom will trial Google Cloud’s data analytics, artificial intelligence (AI) and machine learning (ML) solutions in a joint proof of concept in order to improve actionable insights and better understanding of customer needs and optimize offerings.

“At Deutsche Telekom we are implementing our Leading Digital Telco strategy by investing in best-in-class network infrastructure and by establishing cloud-based service platforms,” says Claudia Nemat, board member of Deutsche Telekom. “We are excited to expand our partnership with Google Cloud by conducting trials in key areas that will allow us to more rapidly innovate and launch new services and customer experiences.”

“Communication service providers are increasingly looking for cloud-native solutions to advance the deployment of network functions and drive automation, elasticity, and scalability,” said Thomas Kurian, CEO, Google Cloud. “We believe our partnership with Deutsche Telekom will deliver significantly improved experiences for end users that will ultimately raise the standard for the telecommunications industry.” 

https://www.telekom.com/en/media/media-information/archive/telekom-and-google-expand-partnership-1010150

MobiledgeX acquired by Google Cloud

MobiledgeX, the edge computing company founded by Deutsche Telekom, has been acquired by Google Cloud, according to TelecomTV and other sources. Neither company has commented on the transaction, although the MobiledgeX website and social media presence have been taken down. Financial terms have not been disclosed.Deutsche Telekom deploys MobiledgeX Edge-Cloud Tuesday, February 19, 2019  Deutsche Telekom, Edge, MobiledgeX  MobiledgeX,...

DT and Google expand partnership for RCS messaging, cloud and TV

Deutsche Telekom and Google are expanding their partnership in three key areas: enhanced mobile messaging services for businesses through Telekom RCS Business Messaging powered by Google and Jibe Cloud; the new Sovereign Cloud for Germany will be available to German cloud customers ahead of schedule; and Telekom’s premium TV experience, MagentaTV One, powered by Android TV OS available now in Germany and expanding to additional European markets. CEO...

T-Systems teams with Google Cloud on sovereign cloud for Germany

T-Systems announced a strategic, long-term partnership with Google Cloud to provide a sovereign cloud for German enterprises, the public sector, and healthcare organizations. The companies agreed to develop a large spectrum of next-generation sovereign cloud solutions and infrastructure where customers can host their sensitive workloads whilst continuing to leverage the scalability, elasticity and reliability of public cloud services. Service...


Lumen expands its edge network in Europe

Lumen Technologies is expanding its Edge Computing Solutions into Europe, providing the low latency platform businesses need to extend their high-bandwidth, data-intensive applications out to the cloud edge.

Lumen Edge Computing Solutions bring together the company's global fiber network, on-demand networking, integrated security, and managed services, with edge facilities and compute and storage services. The company says it can meet approximately 70% of enterprise demand within 5 milliseconds of latency in the UK, France, Germany, Belgium, and the Netherlands. Additional locations are planned by end of year. As part of the Edge Computing Solutions deployment in Europe, Lumen enabled an additional 100G MPLS and IP network connectivity, as well as increased power and cooling at key edge data center locations.

Customers can procure Lumen Edge Computing Solutions online, and within an hour gain access to high-powered computing infrastructure on the Lumen platform.

Lumen's edge infrastructure and services include:

  • Lumen Edge Bare Metal offers dedicated, pay-as-you-go server hardware hosted in distributed locations and connected to the Lumen global fiber network. Edge Bare Metal delivers enhanced security and connectivity with dedicated, single tenancy servers designed to isolate and protect data and deliver high-performance.
  • Lumen Network Storage enables customers to take advantage of secure, scalable, and fast storage where and when they need it. The service allows enterprises and public sector organizations to ingest and update data at the edge using whatever file storage protocol meets their needs.
  • Lumen Edge Private Cloud provides pre-built infrastructure for high performance private cloud computing connected to the Lumen global fiber network. Lumen Edge Private Cloud is fully managed by Lumen and helps businesses go-to-market quickly with the capacity needed for interaction-intensive applications.
  • Lumen Edge Gateway is a scalable Multi-access Edge Compute (MEC) platform for the premises. The service offers a compute platform for the delivery of virtualized wide area networking (WAN), security, and IT applications from multiple vendors on the premises edge.

"Edge computing is a game-changer. It will drive the next wave of business innovation and growth across virtually all industries," said Annette Murphy, regional president, EMEA and APAC, Lumen Technologies. "Customers in Europe can now tap into the power of the Lumen platform, underpinned by Lumen's extensive fiber footprint, to deploy data-heavy applications and workloads that demand ultra-low latency at the cloud edge. This delivers peak performance and reliability, as well as more capability to drive amazing digital experiences. Customers can focus efforts on developing applications and bringing them to market, rather than on time-consuming infrastructure deployment."

https://news.lumen.com/2022-07-12-Lumen-expands-Edge-Computing-Solutions-into-Europe,1

AWS Cloud WAN connects on-prem data centers, branches, regions

Amazon Web Services introduced AWS Cloud WAN, a new managed wide area network (WAN) service that connects on-premises data centers, colocation facilities, branch offices, and AWS Regions into a single, unified global network with just a few clicks in a central management dashboard.  This removes the need to configure and manage individual networks that use different technologies. Using the central management dashboard, networking teams can have a single view of their global network, apply policies, and automate configuration and security tasks across their entire network. 

For example, with just a few clicks, teams can quickly and easily apply a policy that requires network traffic from branch offices to be routed through a specific network firewall before reaching cloud resources running in an AWS Region. 

AWS Cloud WAN integrates with leading SD-WAN, network appliance, and independent software vendors—including Aruba, Aviatrix, Checkpoint, Cisco Meraki, Cisco Systems, Prosimo, and VMware—making it easier for customers to connect their on-premises SD-WAN devices to AWS. Enterprises can now use AWS Cloud WAN to simplify the way they build, manage, and monitor their networks using a single dashboard with minimal complexity.

“Many wide area networks used by enterprises today consist of a patchwork of connections between branch offices and data centers that were optimized for applications that run on premises,” said David Brown, vice president of Amazon EC2 at AWS. “As the edge of the cloud continues to be pushed outward, and more customers move their applications to AWS to become more agile, reduce complexity, and save money, they need an easier way to evolve their networks to support a modern, distributed model that allows them to reach their customers and end users globally with high performance. With AWS Cloud WAN, enterprises can simplify their operations and leave the time-consuming task of managing complex webs of networks behind.”

AWS Cloud WAN is available in US East (Ohio), US East (N. Virginia), US West (N. California), Africa (Cape Town), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (Milan), Europe (Paris), Europe (Stockholm), and Middle East (Bahrain). 

http://www.aws.amazon.com/blogs/aws/new-cloud-wan-a-managed-wan-service

Prosimo raises $30 million for its multicloud networking

Prosimo, a start-up that offers an Application eXperience Infrastructure (AXI) platform for secure application delivery in multi-cloud environments, has secured $30 million in Series B funding.  Prosimo, which is based in San Jose, California, was co-founded by Ramesh Prabagaran (CEO), Pradeep Aragonda (Head of Engineering) and Nehal Bhau (CTO), who were part of the founding team at Viptela that was acquired by Cisco for its SD-WAN solutions....

Video: Simplifying Connectivity at Cloud Scale - Prosimo

https://youtu.be/oT6fNlB1Kj4Enterprises, including major financial institutions, have been struggling to provide connectivity at cloud scale for all of their application workloads, says Faraz Siddiqui, Head of Solutions Architecture, Prosimo.Filmed at ONUG Spring 2022.https://prosimo.ioWho is Prosimo? CTO presentationTuesday, April 06, 2021  Prosimo, SD-WAN, Start-Ups  https://youtu.be/58YMebmBJwMProsimo, a start-up...


NVIDIA unveils Quantum Optimized Device Architecture

NVIDIA outlined a new Quantum Optimized Device Architecture (QODA) for creating a coherent hybrid quantum-classical programming model. 

QODA is an open, unified environment for quantum processors that aims to make it easier to add quantum computing to existing applications, leveraging both today’s quantum processors, as well as simulated future quantum machines using NVIDIA DGX systems and a large installed base of NVIDIA GPUs available in scientific supercomputing centers and public clouds.

Leading quantum organizations are already using NVIDIA GPUs and highly specialized NVIDIA software – NVIDIA cuQuantum – to develop individual quantum circuits. With QODA, developers can build complete quantum applications simulated with NVIDIA cuQuantum on GPU-accelerated supercomputers.

“Scientific breakthroughs can occur in the near term with hybrid solutions combining classical computing and quantum computing,” said Tim Costa, director of HPC and Quantum Computing Products at NVIDIA. “QODA will revolutionize quantum computing by giving developers a powerful and productive programming model.”

In addition, NVIDIA announced QODA collaborations with quantum hardware providers IQM Quantum Computers, Pasqal, Quantinuum, Quantum Brilliance and Xanadu; software providers QC Ware and Zapata Computing; and supercomputing centers Forschungszentrum J├╝lich, Lawrence Berkeley National Laboratory and Oak Ridge National Laboratory.

“Quantinuum is partnering with NVIDIA to enable users of Quantinuum’s H-series quantum processors, powered by Honeywell, to program and develop the next generation of hybrid quantum-classical applications with QODA,” said Alex Chernoguzov, chief engineer at Quantinuum. “This ties together the best performing classical computers with our world-class quantum processors.”

“The hybrid quantum-classical capabilities developed by NVIDIA will enable HPC developers to accelerate their existing applications by providing an efficient way to program quantum and classical resources in a consolidated environment,” said Yudong Cao, chief technology officer at Zapata. “Near-term applications in chemistry, drug discovery, materials science and more can now be seamlessly integrated with quantum computing, driving new discoveries in these fields as practical quantum advantage emerges.”

https://developer.nvidia.com/qoda

Scale Computing raises $55M for edge computing

Scale Computing announced $55 million in funding for its edge computing, virtualization, and hyperconverged solutions.

The SC//Platform is an autonomous, self-healing platform that enables remote edge management of applications and systems at scale, and keeps applications running even as errors happen, utilizing machine intelligence rather than human administrators. The SC//HyperCore software delivers on-premises edge computing with high availability and disaster recovery to remote locations at an affordable entry-level cost. All SC//Hardware can be deployed quickly, managed locally or remotely, and can self-heal almost instantly. 

The round was led by funds managed by Morgan Stanley Expansion Capital.

“Data is moving to the edge twice as fast as it moved to the cloud,” said Jeff Ready, CEO of Scale Computing. “Management of the edge is an inverted problem from management of the data center. A typical data center deployment represents hundreds or thousands of servers at one or two locations. On the other hand, a typical edge deployment is a handful of servers each at hundreds or thousands of locations. This requires a completely different approach to deployment and management, and Scale Computing has continually met the challenges of this fast growing market. A growing number of enterprises are implementing the tremendous time and cost savings found in SC//Platform for the edge and we are proud to have the support of Morgan Stanley as we continue to expand.”

https://www.scalecomputing.com



Intel releases AI reference kits

Intel released the first set of open source AI reference kits, including AI model code, end-to-end machine learning pipeline instructions, libraries and Intel oneAPI components, for on-prem, cloud and edge environments. 

Intel said its kits enable data scientists and developers to learn how to deploy AI faster and more easily across healthcare, manufacturing, retail and other industries with higher accuracy, better performance and lower total cost of implementation.

Four kits are available:

  • Utility asset health: This predictive analytics model was trained to help utilities deliver higher service reliability. It uses Intel-optimized XGBoost through the Intel oneAPI Data Analytics Library to model the health of utility poles with 34 attributes and more than 10 million data points. 
  • Visual quality control: The AI Visual QC model was trained using Intel AI Analytics Toolkit, including Intel Optimization for PyTorch and Intel Distribution of OpenVINO toolkit, both powered by oneAPI to optimize training and inferencing to be 20% and 55% faster, respectively, compared to stock implementation of Accenture visual quality control kit without Intel optimizations2 for computer vision workloads across CPU, GPU and other accelerator-based architectures. Using computer vision and SqueezeNet classification, the AI Visual QC model used hyperparameter tuning and optimization to detect pharmaceutical pill defects with 95% accuracy.
  • Customer chatbot: Conversational chatbots have become a critical service to support initiatives across the enterprise. AI models that support conversational chatbot interactions are massive and highly complex. This reference kit includes deep learning natural language processing models for intent classification and named-entity recognition using BERT and PyTorch. Intel Extension for PyTorch and Intel Distribution of OpenVINO toolkit optimize the model for better performance – 45% faster inferencing compared to stock implementation of Accenture customer chatbot kit without Intel optimizations3 – across heterogeneous architectures, and allow developers to reuse model development code with minimal code changes for training and inferencing.
  • Intelligent document indexing: Enterprises process and analyze millions of documents every year, and many of the semi-structured and unstructured documents are routed manually. AI can automate the processing and categorizing of these documents for faster routing and lower manual labor costs. Using a support vector classification (SVC) model, this kit was optimized with Intel Distribution of Modin and Intel Extension for Scikit-learn powered by oneAPI.

https://www.intel.com/content/www/us/en/developer/topic-technology/artificial-intelligence/reference-kit.html

Intel to acquire real-time continuous optimization software

Intel agreed to acquire Granulate Cloud Solutions Ltd., an Israel-based developer of real-time continuous optimization software. Financial terms were not disclosed.Granulate’s autonomous optimization service helps reduce CPU utilization and application latencies. It does this by learning the customer’s application and deploying a customized set of continuous optimizations at runtime. This enables deployment on smaller compute clusters and instance...

Intel and Microsoft contribute Scalable I/O Virtualization spec to OCP

 Intel and Microsoft have contributed a Scalable I/O Virtualization (SIOV) specification to the Open Compute Project (OCP), enabling virtualization of PCI Express and Compute Express Link devices in cloud servers. SIOV is hardware-assisted I/O virtualization with the potential to support thousands of virtualized workloads per server. SIOV moves the non-performance-critical virtualization and management logic off the PCIe device and into...


Red Hat names Matt Hicks as CEO

Red Hat named Matt Hicks as its president and chief executive officer, replacing Paul Cormier, who will serve as chairman of Red Hat. 

Hicks previously served as Red Hat’s executive vice president of Products and Technologies, where was responsible for the entirety of Red Hat’s product strategy and engineering. Notably, under Hicks’ leadership, Red Hat’s open hybrid cloud strategy and portfolio have expanded to help customers build, deploy and manage any application, anywhere, from on-premises environment, to multiple clouds, and to the edge. This includes delivering new managed cloud services that help customers speed the development of cloud-native applications, new capabilities to accelerate AI development, product variants enabling edge use cases and new security approaches that span hybrid cloud environments.

https://www.redhat.com/