HPC in the data center

June 12, 2019

GPU, for example, can deliver exceptional processing power inside some HPE ProLiant servers and clusters.  GPU compute touches many applications, from engineering analysis and seismic processing to medical imaging and ray trace rendering. HPC capable GPUs broadly fall into two camps  those that are optimized for single precision operations and those that are optimized for both single and double precision operations. Single precision operations are used in applications where high performance takes precedence over extreme accuracy.  Examples include video enhancement, signal processing, video transcoding, deep neural networks (DNN) and digital rendering applications. Double precision operations are used in applications where numerical precision is critical. Examples include Computational Fluid Dynamics (CFD), Structural Mechanics, Reservoir Simulation and Aerodynamics applications.

Spotlight

Peaxy, Inc.

Peaxy technologies and applications are focused on data-driven strategies in the industrial world. Using a robust data architecture, Peaxy builds digital twins that combine field data and modeled data to produce cost-saving insights for the enterprise. Our team of advanced analytics experts builds solutions that include digital twins, advanced predictive analytics, and large-scale data access. Intertrust actively invests in venture companies that extend its market vision.

OTHER WHITEPAPERS
news image

atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

Read More
news image

Big Data and AI for The Financial Sector: Challenges and Opportunities

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

Read More
news image

Manual Replication of MySQL Database Using MySQL Workbench

whitePaper | December 19, 2022

When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.

Read More
news image

Prescriptive Security for Financial Services

whitePaper | November 15, 2019

The potential of artificial intelligence to transform business performance is only now starting to be more widely understood in Financial Services. This is nowhere clearer than in the security domain, where the fusion of big data, advanced analytics and machine learning holds out the promise of startling improvements in cyber defenses through the introduction of Prescriptive Security.

Read More
news image

The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

Read More
news image

Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

Read More

Spotlight

Peaxy, Inc.

Peaxy technologies and applications are focused on data-driven strategies in the industrial world. Using a robust data architecture, Peaxy builds digital twins that combine field data and modeled data to produce cost-saving insights for the enterprise. Our team of advanced analytics experts builds solutions that include digital twins, advanced predictive analytics, and large-scale data access. Intertrust actively invests in venture companies that extend its market vision.

Events