Bending the Rules of Reality for Improved Collaboration and Faster Data Access

David Hiatt

WekaIO, San Jose, CA, United States, Dave@Weka.IO


The popular belief is that research data is heavy, therefore, data locality is an important factor in designing the appropriate data storage system to support research workloads. The solution is often to locate data near compute and depend on a local file system or block storage for performance. This tactic results in a compromise that severely limits the ability to scale these systems with data growth or provide shared access to data.

Advances in technology such as NVMe flash, virtualization, distributed parallel file systems, and low latency networks leverage parallelism to bend the rules of reality and provide faster than local file system performance with cloud scalability. The impact on research is to greatly simplify and reduce the cost of HPC class storage, meaning researchers spend less time waiting on results and more of their grant money goes to research rather than specialty hardware.


David Hiatt is the Director of Strategic Market Development at WekaIO, where he is responsible for developing business opportunities within the research and high-performance computing communities. Previously, Mr. Hiatt led market development activities in healthcare and life sciences at HGST’s Cloud Storage Business Unit and Violin Memory. He has been a featured speaker on data storage related topics at numerous industry events. Mr. Hiatt earned an MBA from the Booth School of Management at the University of Chicago and a BSBA from the University of Central Florida.

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