According to a recent Gartner survey, Artificial intelligence (AI) learning has moved from a specialized field into mainstream business use with 37 percent of respondents reporting their enterprises either had deployed AI or would do so shortly. WekaIO’s Barbara Murphy explores the path of artificial intelligence from the fringe to mainstream business practices. Find out what is driving AI growth and adoption.
How to Get to the Data-Enabled Data Center
Despite their many promising benefits, advancements in Artificial Intelligence (AI) and Deep Learning (DL) are creating some of the most challenging workloads in modern computing history and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled data center must be able to concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, training and inference.
Pure Storage Introduces Data Hub Architecture
Pure Storage (NYSE: PSTG), the all-flash storage platform that helps innovators build a better world with data, introduced a data hub, the company’s vision to modernize storage architecture for unstructured, data-intensive workloads. Built on Pure Storage FlashBladeTM, Pure’s data hub is designed to be truly data centric and enable organizations to effectively utilize today’s most critical currency – data.
Evolution of Storage and the Demise of Prehistoric Storage Solutions
Our friends over at Hedvig produced the compelling “Jurassic” themed infographic below on the evolution of storage and the demise of prehistoric storage solutions. The graphic exposes the data explosion that has taken place in the last decade, and why this has caused the near extinction of outdated storage solutions in terms of the many challenges these prehistoric solutions presented.
Parallel Storage Fuels Groundbreaking Neuroscience and Behavioral Research at Harvard
To alleviate bottlenecks and achieve the ideal balance of parallel performance and optimized availability, Harvard University’s Faculty of Arts and Sciences Research Computing (FASRC) deployed the DataDirect Networks (DDN®) GRIDScaler® GS7KX® parallel file system appliance with 1PB of storage. The installation has sped the collection of images detailing synaptic connectivity in the brain’s cerebral cortex.
DDN and Parabricks Announce Solution for GPU Acceleration of Genome Analysis
DDN Storage (DDN®) and Parabricks announced the availability of a jointly-integrated technology solution that provides massive acceleration for analysis of human genomes. The breakthrough platform combines GPU supercomputing performance with DDN’s Parallel Flash Data Platforms for fastest time to results, and enables unprecedented capabilities for high-throughput genomics analysis pipelines.
Announcing AIRI: An Integrated AI-Ready Infrastructure for Deploying Deep Learning at Scale
Pure Storage (NYSE: PSTG), the all-flash storage platform that helps innovators build a better world with data, today announced the industry’s first comprehensive AI-Ready Infrastructure, AIRI, powered by NVIDIA. Architected by Pure Storage and NVIDIA, AIRI is purpose-built to enable data architects, scientists and business leaders to extend the power of the NVIDIA DGX-1 and operationalize AI-at-scale for every enterprise.
INFINIDAT Accelerates Digital Transformation for Enterprises and Service Providers
INFINIDAT, a leading independent provider of petabyte-scale data storage solutions, announced the latest release of the company’s InfiniBox core operating software. InfiniBox R4 gives enterprise customers the ability to reduce TCO and enhance functional richness, ease of use and reliability.
Pure Storage Announces Significant Customer Momentum for AI and ML Workloads
Pure Storage® (NYSE: PSTG), a leading independent all-flash data platform vendor for the cloud era, announced significant customer momentum for FlashBlade™, the system purpose-built for modern analytics. Since general availability in January 2017, FlashBlade has gained traction among organizations running and innovating with emerging workloads, specifically modern analytics, artificial intelligence (AI) and machine learning (ML).
Major Leap Towards Storing Data at the Molecular Level
From smartphones to supercomputers, the growing need for smaller and more energy efficient devices has made higher density data storage one of the most important technological quests. Now scientists at the University of Manchester have proved that storing data with a class of molecules known as single-molecule magnets is more feasible than previously thought.