SAP HANA and PowerVM Virtual Persistent Memory

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

whitePaper | June 9, 2023

Many cloud providers participating in VCPP have successfully adopted VMware Cloud Director Availability (VCDA). The product improvements in the latest releases related to the simplified implementation and operation processes, useful features, and deep integration with vSphere and VMware Cloud Director (VCD), in addition to the attractive pricing model, made VCDA the preferred product for providing DR and migration services for their tenants’ workloads.

whitePaper | December 13, 2022

Ransomware is a financially motivated crime with the goal of inhibiting business systems and obtaining a ransom payment. Historically, ransoming data residing in traditional on-premises enterprise workloads and government systems have resulted in ample financial gain for assailants using ransomware attacks.

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.

whitePaper | February 27, 2020

For the new digital customer, user experience trumps all. Rising customer expectations are driving businesses to rapidly transform and innovate through intelligent applications – built in and for the cloud – that are always available with real-time updates and insights. In order to meet these demands, organizations are embracing digital and IT transformation initiatives, enabled by hybrid cloud platforms.

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.