Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
The FlashBlade all-flash storage array from Pure Storage is designed to meet these needs. FlashBlade performance improves linearly with more data. Whether files are small or large, FlashBlade delivers true linear scaling of capacity and performance, and as a result, is well-suited to modern analytics workloads for AI and deep learning.
“Modern computing frameworks have given rise to increasingly complex, high-performance analytics and valuable data,” said Par Botes, VP of Engineering, Pure Storage. “With FlashBlade, our mission is to make big data into fast data with an all-flash platform that is big, fast, and simple to deploy – and one that provides value across all industries and segments.”