WekaIO Selected as Finalist in TechTarget Enterprise Data Storage 2020 Products of the Year Awards
WekaIO™ (Weka), the fastest-growing data platform for artificial intelligence/machine learning (AI/ML), life sciences research, enterprise technical computing, and high-performance data analytics (HPDA), announced today its modern data storage platform, WekaFS™, is a finalist in the Storage magazine and SearchStorage 2020 Products of the Year awards in the highly competitive category of storage system and application software.
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“Products of the Year finalists should be on the radar of decision-makers looking for better ways to implement, provision, manage, and protect data in often-uncertain business environments. The Weka file system runs natively in the cloud and brings together extended hybrid cloud deployment capabilities and hybrid cloud data management for AI and other workloads,” according to the panel of experts reviewing WekaFS v3.8. Products were judged on the basis of performance, innovation, ease of integration, ease of use and manageability, functionality, and value.
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“We appreciate the judges’ recognition of the significant feature enhancements made to WekaFS in the last year, especially factoring in the value and ease-of-use aspects of the system,” said Ken Grohe, President and CRO at WekaIO. “WekaFS is now used by eight of the Fortune 50 enterprise organizations. Our customers implement us for performance but expand with us for ease-of-use, cost-economics, scalability, and a host of other reasons. Weka runs anywhere your data lives and is rapidly becoming the defacto platform for I/O-intensive workloads such as AI/ML, high-performance computing (HPC), HPDA, and technical computing.”
WekaFS was architected to accelerate I/O to CPU and GPU-enabled compute clusters, whether the data resides on-premises or in the public cloud or a hybrid of both. WekaFS provides a full enterprise-grade solution with all the features found in legacy appliances while future-proofing their IT investments with advanced security and full cloud integration.
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