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IBM Platform Computing – Ready to Run Clusters in the Cloud

Cluster Cloud sm

Demands by users that are running applications in the scientific, technical, financial or research areas can easily outstrip the capabilities of in-house clusters of servers. IT departments have to anticipate compute and storage needs for their most demanding users, which can lead to extra spending on both CAPEX and OPEX once the workload changes.

ClusterStor Solution for HPC and Big Data

Multilevel Security Image

The ClusterStor SDA is built on Seagate’s successful ClusterStor family of high performance storage solutions for HPC and Big Data, providing unmatched file system performance, optimized productivity and the HPC industry’s highest levels of efficiency, reliability, availability and serviceability. Taking full advantage of the Lustre file system, Seagate ClusterStor is designed for massive scale-out performance and capacity, with the ability to support from hundreds to tens-of-thousands of client compute nodes delivering data intensive workload throughput from several GB/sec to over 1TB/sec.

Seagate ClusterStor Secure Data Appliance

Secure Data Appliance

The Seagate ClusterStor Secure Data Appliance (SDA) is the HPC industry’s first scale-out secure storage system officially ICD-503 certified to consolidate multiple previously isolated systems, maintain data security, enforce security access controls, segregate data at different security levels, and provide audit trails, all in a single scale-out file system with proven linear performance and storage scalability.

Inside Lustre Hierarchical Storage Management (HSM)

Hierarchical Storage Management

There is always different levels of importance assigned to various data files in a computer system, specifically a very large system that is storing petabytes of data. In order to maximize the use of the highest speed storage, Hierarchical Storage Management (HSM) was developed to move and store data within easy use of users, yet at the appropriate speed and price.

Developing Multilevel Security (MLS) Framework

Multilevel secure framework

This is the third article in a series designed to address the needs of government and business or collaborative and secure information sharing within a Multilevel Security (MLS) framework. Learn the key elements of a workable Multilevel Security framework.

Deploying Collaborative Multilevel Security at Big Data and HPC Scale

Multilevel Security Image

This article series is the first to explore the Seagate ClusterStor™ Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multilevel Security (MLS) framework at Big Data and HPC Scale. Compared to prior methods, this provides vast cost savings in reduced capital equipment and networks as well as reduced operational complexity, floor space, weight, power, and cooling while satisfying today’s requirements for performance, collaborative secure data sharing, and availability.

The Register to Launch “The Platform” with News on Hyperscale

Nicole Hemsoth

This week The Register announced a new spin-off publication called The Platform. Headed up by former editors of HPCwire and EnterpriseTech, The Platform aims to provide in-depth coverage of the hyperscale side of datacenters.

SGI Solutions for CAE Applications

HPC CAE

The adoption of computer aided engineering (CAE) powered by high performance computing (HPC) is one of key factors fueling the re-birth of manufacturing. SGI offers an HPC environment that is ideal for CAE solutions. This article is part of 5 article series on how HPC is helping to fuel the growth in manufacturing.

HPC News with Snark for the Week of Jan. 12, 2015

hatnews

The news has started to pile up this post-Holiday Season, so here is the HPC News with Snark for Friday, January 16, 2014. We’ve got podcasts on everything form self-driving cars to Data Breaches resulting from North Korean satire films. There’s even some big financial surprises from Intel.

Machine Learning: What Computational Researchers Need to Know

machine

Nvidia GPUs are powering a revolution in machine learning. With the rise of deep learning algorithms, in particular deep convolutional neural networks, computers are learning to see, hear, and understand the world around us in ways never before possible.