Cloudian enables S3-compatible storage access for NVIDIA’s Deep Learning GPU System

Cloudian has announced the integration of a plug-in within NVIDIA’s Deep Learning GPU Training System (DIGITS) version 6.1 that allows the DIGITS platform to directly access an S3-compatible storage endpoint. DIGITS users can now easily integrate Cloudian’s S3-compatible HyperStore platform for use with deep learning training libraries.

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IT resilience platform for multi-Cloud environments

Zerto Virtual Replication 6.0 offers a single platform for disaster recovery, data protection and workload mobility to, from and between multiple clouds.

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Rubrik to acquire Datos IO

Acquisition will extend Rubrik’s cloud leadership by adding support for cloud native applications, NoSQL databases and big data file systems.

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Cloudian continues EMEA expansion

New sales team brings depth of enterprise storage expertise.

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Storage Made Easy and Cloudian partner

New M-Stream™ feature in the Storage Made Easy Enterprise File Fabric used to accelerate access to Cloudian hybrid S3 object storage for major North American broadcasting company.

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Cloud-like scalability and agility for on-premises backup infrastructures

Fujitsu launches new Reference Architecture for Commvault HyperScaleTM Software, a data protection solution based on pre-tested configurations and built with Fujitsu PRIMERGY Servers.

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The Fibre Channel Industry Association (FCIA) says that the International Committee on Information...
Tegile Systems has introduced the IntelliCare™ Flash 5 Guarantee, a multi-point program...
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Organisations need to evaluate their data protection and business continuity options to ensure they...
Pure Storage says that FlashBlade, the company’s second product built for high-performance...
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How Clifton College solved its data backup problems

Clifton College is one of the UK’s leading co-educational independent schools. Cristie Data provides the Bristol-based private school with a fully managed, scalable and reliable cloud backup solution that protects pupil data and can easily scale to meet future data growth.

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