Bare-Metal High Performance Computing in the Cloud

whitePaper | June 16, 2022

An overarching aspiration of digital sovereignty represents the need to ensure a national (or regional), sovereign end-to-end digital capability and control. Such an aspiration is not only concerned with the sovereign protection of data, but going beyond such data sovereignty concerns and ensuring access to sovereign digital tools to develop applications.

whitePaper | May 8, 2023

APIs represent a new and expanding technological lever for organizations’ competitive advantages, driving speed to market for new digital capabilities. This represents a key growth driver. However, APIs represent an expanding attack surface, with new entry points to disrupt services and gain access to data, including Personal Identifiable Information (PII).

whitePaper | March 22, 2022

Protecting data and workloads in hybrid cloud environments requires Zero Trust protection that is seamless between onpremises data center environments and public cloud infrastructures. Microsoft and Rubrik each bring best-in-class offerings and capabilities that unify management and offer a holistic approach to Zero Trust Data Security for your hybrid cloud.

whitePaper | January 19, 2023

Agility is no longer simply a desirable business characteristic. Because of the unprecedented levels of agility that have been enabled by IT, it is now a critical business quality. To maintain competitive levels of agility and keep pace with a quickly evolving macro-IT environment, organizations are currently facing a pressing need to modernize both their applications and their methods for developing and deploying those applications. Organizations that have already done so are reaping the benefits of faster application development and deployment, as well as greater portability across their expanding environments, which can include multiple public clouds, on-premises data centers, and edge locations. IT organizations that don’t modernize their applications will not only fail to enjoy these benefits, but will also be unable to sustain competitive levels of agility.

whitePaper | June 3, 2023

As organizations continue to increase their cloud investments, the challenge of reducing and optimizing cloud costs has become bigger than ever before. According to various surveys and state of cloud reports, enterprises typically waste around one-third of their cloud budgets due to multiple inefficiencies and planning failures. Regardless of their cloud maturity, most organizations identify cloud cost optimization as a key challenge.

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.