DobiProtect enables heightened business continuity by giving customers the ability to identify and maintain an air-gapped'golden copy' of mission-critical unstructured data Datadobi, the global leader in unstructured data management software, announced DobiProtect enhancements to help companies maintain the highest standards of business continuity. With DobiProtect, organizations can easily create a'golden copy' of their business-critical file and object data in its native format across heterogeneous systems. This golden copy enables companies to quickly restore business operations that rely on unstructured data when serious disruptions occur such as cyberattacks, ransomware, insider threats, storage platform specific bugs, natural disasters, etc. With business operations becoming increasingly reliant on unstructured data being immediately accessible, DobiProtect customers are giving themselves a fighting chance to get their activities up and running fast by simply keeping a golden copy of core business-critical data. Customers can keep their data in a bunker site, in the cloud, or behind an air gap. The choice is entirely theirs as DobiProtect gives them the freedom to choose any NAS or object storage.

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads, we'll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is "real world" applications, workloads, and present day challenges. Optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today's hyper-connected world, but rather a platform that shares and delivers data to create competitive business value.

In this video from the DDN User Group at ISC 2018, James Coomer from DDN presents: A3I – Accelerated Any-Scale Solutions from DDN. Engineered from the ground up for the AI-enabled data center, DDN's A3I solutions are fully optimized to handle the spectrum of AI and DL activities concurrently: data ingest and preparation, training, validation, and inference. The DDN A3I platform is easy to deploy and manage, highly scalable in both performance and capacity, and represents a highly efficient and resilient solution for all of your current and future AI requirements." Today, AI and DL are creating the toughest workloads in modern computing history. At the same time, they pose exceptional challenges and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled datacenter 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. In order for GPUs to fulfill their promise of acceleration, data must be processed and delivered to the underlying AI applications with great speed, scalability and consistently low latencies.