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Enhancing AI projects with advanced cloud GPU servers

Dataconomy

These servers offer a scalable and flexible solution for companies looking to optimize AI projects without investing in costly on-premises infrastructure. Big data analysis is another area where advanced cloud GPU servers excel. Improved scalability is another benefit. Cost efficiency is another key aspect.

Cloud 45
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The Internet of (Secure) Things – Embedding Security in the IoT

CTOvision

Homes/Offices : Companies and utilities are building sensors into major appliances and HVAC systems. You can opt-in to smart metering so that a utility can load balance energy distribution. Pacemakers can report statistics on your heart to doctors and hospitals. This post first appeared on George Romas’ HP Blog.

Internet 283
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What’s Free at Linux Academy — March 2019

Linux Academy

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80
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Fountainhead: New AWS enable "Real" Elastic Clouds

Fountainhead

Amazon Elastic Load Balancing: A for-fee ($0.025/hour/balancer + $0.008/GB transferred) which automatically distributes incoming application traffic across multiple Amazon EC2 instances. Similarly, Egeneras PAN Manager approach dynamically load-balances networking traffic between newly-created instances of an App.

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Teradata: Embrace the Power of PaaS

Cloud Musings

When it comes to big data analytics, Teradata delivers these Platform-as-a-Service advantages by delivering industry andbusiness process aligned components within their PaaS. To successfully overcome this dilemma, the company adopted Teradata PaaS through the use of the managed cloud services model.

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Vendor-Side DevOps Practices Can Still Deliver Better Value While Client-Side Government Processes Catch Up

CTOvision

Each cloud computing provider has “opinionated” ways of handling things such as load balancing, elastic scaling, service discovery, data access, and security to name just a few. Companies who embrace this change and master DevOps practices will succeed in this new IT landscape.

Devops 150
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Fountainhead: What Is Meant by a "Cloud-Ready" Application?

Fountainhead

unique network topology (including load balancing, firewalls, etc.). location of app images and VMs), network (including load balancing and. Balancing these. Big Data. (6). Data Center efficiency. (1). But as I dug into the complexities of maintaining. cloud only helps to a point. Syndications.