DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced that it has sold more AI storage appliances in the first four months of 2023 than it had for all of 2022. Broad enthusiasm for the business opportunities presented by generative AI has resulted in a steady increase in investment in AI and AI infrastructure.
DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion
May 14, 2023 by Leave a Comment
Four Reasons On-premises Object Storage is Right for Today’s Businesses
December 14, 2020 by Leave a Comment
In this special guest feature, Marcel Hergaarden, senior manager for product marketing at Red Hat, explains why he believes on-premises object-based storage is the correct approach for organizations that want better control over their data and greater cost savings.
New Study Details Importance of TCO for HPC Storage Buyers
May 12, 2020 by Leave a Comment
Total cost of ownership (TCO) now rivals performance as a top criterion for purchasing high-performance computing (HPC) storage systems, according to an independent study published by Hyperion Research. The report, commissioned by our friends over at Panasas®, a leader in HPC data storage solutions, surveyed data center planners and managers, storage system managers, purchasing decision-makers and key influencers, as well as users of HPC storage systems.
Micron Introduces Comprehensive AI Development Platform
October 27, 2019 by Leave a Comment
Micron Technology, Inc. (Nasdaq: MU), announced a powerful new set of high-performance hardware and software tools for deep learning applications with the acquisition of FWDNXT, a software and hardware startup. When combined with advanced Micron memory, FWDNXT’s (pronounced “forward next”) artificial intelligence (AI) hardware and software technology enables Micron to explore deep learning solutions required for data analytics, particularly in IoT and edge computing.
DAOS Delivers Exascale Performance Using HPC Storage So Fast It Requires New Units of Measurement
September 23, 2019 by Leave a Comment
Forget what you previously knew about high-performance storage and file systems. New I/O models for HPC such as Distributed Asynchronous Object Storage (DAOS) have been architected from the ground up to make use of new NVM technologies such as Intel® Optane™ DC Persistent Memory Modules (Intel Optane DCPMMs). With latencies measured in nanoseconds and bandwidth measured in tens of GB/s, new storage devices such as Intel DCPMMs redefine the measures used to describe high-performance nonvolatile storage.
YugaByte Commits to 100 Percent Open Source with Apache 2.0 License
July 24, 2019 by Leave a Comment
YugaByte, a leader in open source distributed SQL databases, announced that YugaByte DB is now 100 percent open source under the Apache 2.0 license, bringing previously commercial features into the open source core. The move, in addition to other updates available now through YugaByte DB 1.3, allows users to more openly collaborate across what is now the world’s most powerful open source distributed SQL database.
“Intelligent Storage” Market Survey Shows Growing Problem Moving Large Data Sets for a Variety of Applications
December 24, 2017 by Leave a Comment
G2M Research, an analyst firm covering the Non-Volatile Memory Express® (NVMe) marketplace, released the results of its recent survey on the need for “Intelligence storage” for applications with large data sets. The survey, sponsored by NGD Systems, was conducted across 112 respondents from organizations involved in Big Data, artificial intelligence/machine learning, and Internet of Things (IoT) applications.
Parallel Storage Solutions for Better Performance
August 24, 2017 by Leave a Comment
Using high performance parallel storage solutions, geologists and researchers can now incorporate larger data sets and execute more seismic and reservoir simulations faster than ever before, enabling higher fidelity geological analysis and significantly reduced exploration risk. To lean more download this white paper.
Big Data Analytics: Ericsson
September 1, 2016 by Leave a Comment
Analytics-generated insights are increasingly driving successful decision-making for communication service providers (CSPs). From network enablers to business support systems, there are opportunities to utilize insights gathered from careful analysis of network data.
Big data is at the core of this opportunity. But the traditional technology view of big data is not enough. Rather than focusing on big data technology, CSPs should start from the business value they want to create and apply extensive telecom competence to understand how the relevant insights can be extracted from raw data before applying big data techniques as needed.
Big Data, Big Innovations
September 1, 2016 by Leave a Comment
With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.
