Cirrascale Cloud Services Adds NVMe Hot Tier Storage Offering Powered by WekaIO to Accelerate Deep Learning Applications
Summary
The offering helps remove storage bottlenecks faced by customers who use inference training datasets consisting of millions of files to improve outcomes and increase accuracy of deep learning models.“With WekaIO Matrix, they’ll be able to provide their growing list of deep learning customers a fully parallel and distributed file system that can handle the most demanding data and metadata intensive operations.”The available configurations ensure that a wide variety of application types can be addressed, including deep learning, artificial intelligence, high performance data analytics, and accelerated databases.WekaIO Matrix™, the world’s fastest shared parallel file system and WekaIO’s flagship product, leapfrogs legacy storage infrastructures by delivering simplicity, scale, and faster performance for a fraction of the cost.In the cloud or on-premises, WekaIO’s NVMe-native high-performance software-defined storage solution removes the barriers between the data and the compute layer, thus accelerating artificial intelligence, machine learning, genomics, research, and analytics workloads.
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