"Houston is the centre of the US oil and gas industry and therefore a critical territory for us as we execute our strategy to increase our dominance in this key market", stated Richard Dyke, VP of sales at WekaIO. "Our sales team in Houston come to us as seasoned players in the data storage and oil and gas fields. Their expertise is a valuable addition to our operations and will help fuel our growth for this region and industry."
The team of Darrin St. Amant and Jon Lavallee brings especially deep oil and gas and storage expertise to the company. Between them they have spent years in this market with such companies as HPE, Avere Systems, Isilon EMC, and most recently Quantum Corporation and Commvault.
The oil and gas industry is awash with hundreds of petabytes each year in sensor and equipment data and many terabytes per day for seismic and discovery simulations. There is an increasing investment in GPU-based appliances to support the new wave of software products for oil and gas based on deep learning, but legacy storage systems used to support traditional HPC and analytics-based workflows doesn't offer enough bandwidth to keep data thirsty GPUs saturated. WekaIO's Matrix parallel file system is the only storage solution that can keep a GPU saturated with data, and as such is a favorite for deep learning use cases and is lauded as the premier file system for pioneers in geospatial research. WekaIO was recently recognized with an Alconic Award from AI Business for Best Innovation in Deep Learning.
This video shows why geospatial research leader, TRE ALTAMIRA, chose the WekaIO Matrix high-performance storage system to provide flash-based parallel file storage capabilities to accelerate its geospatial workflows.