Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world’s most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
New MLPerf Storage v1.0 Benchmark Results Show Storage Systems Play a Critical Role in AI Model Training Performance
September 27, 2024 by
MLCommons® announced results for its industry-standard MLPerf® Storage v1.0 benchmark suite, which is designed to measure the performance of storage systems for machine learning (ML) workloads in an architecture-neutral, representative, and reproducible manner.
To Make the Splunk Acquisition Successful, a New Approach to Storage is Needed
December 23, 2023 by
In this contributed article, Marty Kagan, CEO and co-founder of Hydrolix, discusses what other companies in the cloud database platform industry think about the Cisco acquisition of Splunk and what it means to companies in the database platform and observability space.
DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion
May 14, 2023 by
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.
Predictions of 2023 Storage Market Trends
December 19, 2022 by
In this sponsored post, Eric Herzog, CMO, Infinidat, shares storage market trend predictions for the new year. Based on experience as an enterprise storage solution provider to Fortune 500 companies as well as cloud service providers, managed service providers and managed hosting providers, the company has identified the five trends for 2023.
CATALOG Achieves Historic DNA Computing Milestone
December 12, 2022 by
Catalog Technologies, Inc., a leader in DNA-based digital data storage and computation, has made a historic breakthrough in DNA computation by demonstrating the ability to search data stored in DNA in a massively parallel and scalable manner with resource usage almost independent of the data size.
Inside Bigger, Faster, Greener Storage for Enterprises
December 1, 2022 by
In this sponsored post, Eric Herzog, CMO, Infinidat, believes it is possible to apply the B.F.G. equation to an enterprise or service provider / hosting infrastructure without compromising any one of the factors – bigger, faster or greener – for the sake of the others.
Seagate Launches Lyve Cloud Analytics Platform to Optimize Machine Learning Operations and Accelerate Innovation
October 12, 2022 by
Seagate® Technology Holdings plc (NASDAQ: STX), a world leader in mass-data storage infrastructure solutions, announced the launch of Lyve™ Cloud Analytics platform, a complete cloud-based analytics solution that includes storage, compute, and analytics, to help Lyve Cloud customers lower the total cost of ownership (TCO) and accelerate time to value with their DataOps and MLOps (machine learning operations).
Myth busting: The Truth About Disaggregated Storage
September 15, 2022 by
In this contributed article, Scott Hamilton, Senior Director, Product Management & Marketing at Western Digital, shows that for large enterprises, CDI enables the intelligent allocation of dynamic resources and that’s a must for controlling costs, boosting performance, optimizing IT resources and maximizing efficiency. However, the rise of any technology often generates some confusion, and this piece will dispel some myths around disaggregated storage.
Ocient Releases the Ocient Hyperscale Data Warehouse version 20 to Optimize Log and Network Metadata Analysis
July 26, 2022 by
Ocient, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time, released version 20 of the Ocient Hyperscale Data Warehouse. New features and optimizations include a suite of indexes, native complex data types, and the creation of data pipelines at scale to enable faster and more secure analysis of log and network data for multi-petabyte workloads.
