BGP EVPN for VXLAN

Many data centers today are moving from a legacy layer 2 design to a modern layer 3 web-scale IT architecture. Layer 3 designs using traditional routing protocols like OSPF and BGP allow simplified troubleshooting, clear upgrade strategies, multi-vendor support, small failure domains and less vendor lock-in. However, many applications, storage appliances and tenant considerations still require layer 2 adjacency.

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Charles River Development

Charles River Development, a State Street Company, enables sound and efficient investing across all asset classes. Investment firms in more than 40 countries use Charles River IMS to manage more than US$25 Trillion in assets in the institutional investment, wealth management and hedge fund industries.

OTHER WHITEPAPERS
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Conversational AI using NVIDIA : NetApp Solutions

whitePaper | October 17, 2022

The NVIDIA DGX family of systems is made up of the world’s first integrated artificial intelligence (AI)-based systems that are purpose-built for enterprise AI. NetApp AFF storage systems deliver extreme performance and industry-leading hybrid cloud data-management capabilities. NetApp and NVIDIA have partnered to create the NetApp ONTAP AI reference architecture, a turnkey solution for AI and machine learning (ML) workloads that provides enterprise-class performance, reliability, and support.

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CIO vision 2025: Bridging the gap between BI and AI

whitePaper | September 23, 2022

It’s been several years since organizations began adopting artificial intelligence (AI) to improve their business; few have come close to mastering its existing capabilities. A small number of organizations in our research aim to become AI-driven—a status we define as AI and machine learning underpinning almost everything the enterprise does—by 2025. However, this elite group—who we term “AI leaders”1—as well as the many others looking simply to embed AI more firmly in the enterprise foundations face formidable challenges to achieving their objectives.

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Policies and Regulations Around Aiusage: Interpretation and Impact

whitePaper | August 26, 2022

Started in 2013, Arya.ai is the first deep learning (DL) startup in India and has been one of the very early adopters to use DL in Financial Institutions. AryaXAI by Arya.ai, a full stack ML Observability platform, offers multiple components - AI explainability, ML monitoring, ML audit and Policy controls, which organisations require beyond simple ML monitoring tools.

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Implementing AI in business challenges and resource

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

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Embedding AI-powered Analytics Into Your Application

whitePaper | September 28, 2022

Your customers need more than dashboards. They need instant, actionable insights and analytics. And you need to offer more than basic analytics to futureproof your application. Learn how embedding AI-powered analytics gives you a sustainable competitive advantage. Download the complete guide today.

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Front Line Consulting

whitePaper | April 16, 2020

Front Line Consulting (FLC) is a government consulting firm—and majority veteran-ownedand-operated Project Manager-as-Agent. Presently, FLC is managing a group of 60 publicly-funded projects for Travis County, home of the unequalled Austin, Texas. Front Line’s responsibilities include meeting a tight “substantial completion” deadline defined in public forum, coming in on (taxpayer-funded) budget, and keeping elected officials apprised of financials and material progress in projects within their respective jurisdictions.

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Spotlight

Charles River Development

Charles River Development, a State Street Company, enables sound and efficient investing across all asset classes. Investment firms in more than 40 countries use Charles River IMS to manage more than US$25 Trillion in assets in the institutional investment, wealth management and hedge fund industries.

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