Optimizing Life Sciences Workflows and Enabling Life-Changing Discoveries

Published on May 22, 2017

Many life sciences and genomics organizations are using high performance computing to manage their data growth and mine their databases for information…

Big Data Challenges in Genomics

Published on May 22, 2017

As we forge ahead to the $100 genome, the big data challenges in genomics continue to flourish….

The Cross Pollination of Problem Solving for Life Sciences and Media Workflows

Published on May 19, 2017

At DataFrameworks, we are excited to be a part of DDN’s Best Practices for Big Data in Life Sciences Research (BPLS) workshop in Boston on May 23rd. Over the years, we have observed many parallels between life science file-based workflows and media file-based workflows …

Accelerating Time to Insight: Focus on Science, not Infrastructure

Published on May 17, 2017

From treating cancer and enhancing lives with personalized medicine to enabling sustainable food production, it is even more important for life science researchers to choose the right technology provider …

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NAB Show 2017: Here’s What Happened in Vegas That Didn’t Stay in Vegas

Published on May 12, 2017

Another successful NAB Show is on the books. This year’s show was buzzing with more than 100,000 attendees, including content creators, producers, and distributors from around the world that resulted in a steady flow of traffic on the show floor …

Lustre for Enterprise Computing: DDN’s Commitment and Increased Investments in Lustre, File Systems, and the Future of HPC

Published on May 1, 2017

During the past decade, parallel file systems have redefined how we think about I/O performance. The largest parallel file system storage environments today deliver TB/sec of bandwidth while, at the same time, sustaining hundreds of thousands of metadata operations …

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Published on April 18, 2017

Driven by traditional content creation and even more data-intensive new media trends like VR and 360 video, the media and entertainment industry has become one of the most data-intensive in the world …

Accelerating the Genome Sequencing Process

Published on April 13, 2017

DDN is changing how life science data is stored, shared, and analyzed. Our genomics research customers have documented massive throughput increases for their analysis pipelines with our simple, cost-effective way of scaling capacity and performance as data sets grow …

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Building Storage Infrastructure for Machine Learning

Published on March 7, 2017

The issue is clear: the adoption of machine learning is taxing underlying data access and management infrastructure. Prototypes and first generation infrastructure are typically built on whatever Enterprise storage the organization uses, or the team building it decides to roll their own …

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Even Object Storage Leaders Know It’s Not About Object Storage

Published on February 1, 2017

Object storage is hot (again), not because it “is a storage architecture that manages data as objects” … but because it can be cheaper, scale higher, and have richer metadata than traditional storage architectures like file systems …