Oracle, VMware agree to deal on cloud technology

Deccan Herald | September 17, 2019

Oracle, VMware agree to deal on cloud technology
Oracle Corp and VMware Inc on Monday announced a deal designed to resolve years of tension over how Oracle handles technical support for VMware users and make it easier for them to move to Oracle's cloud computing service. Oracle is competing against Amazon.com Inc and Microsoft Corp to offer cloud services, where businesses use Oracle's data centers to handle their computing needs. In recent years, cloud providers have worked to woo large businesses that still run their own data centers to move some or all of that work to the cloud.

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Unlocking the Potential of Deep Learning with Virtualized AI

Run:AI | April 22, 2020

A virtualized AI infrastructure for DL would run a single workload on multiple shared physical resources. Article by Google’s Francois Chollet discusses the skill acquisition-based approach to gathering intelligence. The conventional computing stack – from processor to firmware to virtualization, abstraction, orchestration and operating layers through to end-user software. Is the recent progress in deep learning true artificial intelligence? A widely-discussed article by Google’s Francois Chollet discusses the skill acquisition-based approach to gathering intelligence – the one currently in use in modern DL. He argues that with huge data sets available for training models, AI is mastering skill-acquisition but not necessarily the “scope, generalization difficulty, priors, and experience” that true AI should incorporate. Even with our progress in AI, and specifically DL, we are nowhere near the limits of what DL can achieve with bigger, better-trained more accurate models, those that take into account not only skill but experience, and generalization of that experience. Understandably, this has put intense focus on computing power, particularly the hardware that enables data scientists to run complex training experiments. Nvidia increasing sees DL as a key market for its GPUs and bought Mellanox to speed communication inside a GPU cluster. With its recent acquisition of Habana, Intel is likely betting that custom AI accelerator hardware is a better match. Other AI-first hardware includes Cerebras’s massive chip in a custom box that’s designed for the specific types of intensive, long-running workloads that training DL models require. In the cloud, Google’s Tensor Processing Units offer another bespoke option. For companies running their own DL workloads, more compute is generally better. Whether exotic AI accelerators or tried-and-tested GPUs, quicker model training means more iterations, faster innovation and reduced time-to-market. It may even mean we can achieve “strong” AI (i.e., AI than goes beyond “narrow AI,” which is the capability of doing a single, discrete task) quicker. In 2020, continuing the trend of recent years, companies will invest in ever-more AI hardware, in an effort to satisfy data scientists’ demands for compute to run bigger models to solve more complex business problems. But hardware isn’t the whole picture. The conventional computing stack – from processor to firmware to virtualization, abstraction, orchestration and operating layers through to end-user software – was designed for traditional workloads, prioritizing high-availability, short-duration operations.Training a DL model, though, is the opposite of this sort of workload. While running a model, an experiment may need 100 percent of all the computing power of one or multiple processors for hours or even days at a time. Read more: Virtualization can transform your company’s IT infrastructure

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VIRTUAL DESKTOP STRATEGIES

Windstream Enterprise Announces New SD-WAN Enhancements with VMware

Windstream | June 02, 2021

Windstream Enterprise (WE), a provider of managed communications services, has announced new feature enhancements and hardware for its VMware-powered SD-WAN. VMware's three new SD-WAN edge devices represent the company's next-generation technology, named a Leader in the 2020 Gartner Magic Quadrant for WAN Edge Infrastructure. These new edge devices provide improved performance with enhanced processors that offer additional functionalities and simplified design and deployment with less complexity. Windstream Enterprise will now provide customers with industry-leading SD-WAN technology due to the enhancements. By integrating SD-WAN with security, the new SD-WAN edges assist in the evolution of the SASE (Secure Access Service Edge). MNS is deployed as a Virtual Network Function (VNF) on the VMware edge, providing unified threat management security for the SD-WAN network. Customers will be able to access the MNS VNF using Windstream Enterprise's award-winning WE Connect portal to remotely self-service, view, and configure their VNF firewalls to enable the following benefits: • View firewall details and policies to ensure proper network protection configuration. • Manage web filtering policies, such as the ability to block specific URLs or categories depending on content. • Policies for application control that protect employees from inappropriate, harmful, and unprotected apps • Reports are generated automatically to review and audit online activity and potentially risky behavior. About Windstream Windstream Holdings is a communications and software company that is privately held. Windstream provides managed communications services, such as SD-WAN and UCaaS, and high-capacity bandwidth and transport services to businesses across the United States. In addition, with an enhanced fiber network and 5G fixed wireless service, the company provides premium Internet, entertainment, and security services to consumers and small and midsize businesses primarily in rural areas in 18 states.

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VMWARE

VMware Speeds Service Providers’ Move to Multi-Cloud

VMware | October 28, 2021

To bring innovative apps and services to customers more quickly, service providers are betting heavily on the cloud. And as apps and data continue to distribute across clouds and locations, service providers require flexibility to deploy and consistently manage workloads anywhere. That is why VMware is unveiling enhancements to its Telco Cloud Platform designed to help service providers speed their multi-cloud transformation. “With network modernization efforts well underway, service providers are now focused on how to monetize 5G services. And how to do it fast. Thanks to cloud-native architectures, time to market for launching new services has moved from months and years to days and weeks. Over 150 CSPs around the world rely on VMware Telco Cloud Platform to accelerate time to revenue while providing automation and consistent operations across networks for 4G, 5G and beyond. 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Headquartered in Palo Alto, California, VMware is committed to building a better future through the company’s 2030 Agenda.

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See how Cisco’s internal groups leverage Data Virtualization to improve time to market and increase demand for our services.