WekaIO Selected as Finalist in TechTarget Enterprise Data Storage 2020 Products of the Year Awards
Editors of Storage magazine and SearchStorage, analysts, and other industry professionals select the WekaIO modern data platform as a Product of the Year finalist
CAMPBELL, Calif.–(BUSINESS WIRE)–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.
“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.
“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. Recent innovations include Weka AI™ to accelerate edge-to-core-to-cloud data pipelines that are powered by GPUs, Kubernetes CSI plugin for cloud-native storage agility, SAS Analytics reference design that reduces wall clock time by 5X for long-running jobs, and reference architectures with leading object storage technologies to simplify data access from flash to object storage to the cloud.
WekaIO has received multiple awards in the past few months including Flash Memory Summit Best of Show, TechTarget Enterprise Data Storage Product of the Year Award, AI Excellence Award, CRN Coolest Cloud Vendor, and Aragon Research Hot Vendor in AI.
For more information on Storage magazine and SearchStorage Products of the Year, and a complete list of finalists, visit https://searchstorage.techtarget.com/feature/Enterprise-data-storage-2020-Products-of-the-Year-finalists.
WekaIO (Weka) offers WekaFS, the modern data platform that is used by eight of the Fortune 50 enterprise organizations to uniquely solve the newest, biggest problems holding back innovation and discovery. Purpose-built to unlock the full capabilities of today’s accelerated and agile data center, WekaFS is optimized for NVMe-flash and the hybrid cloud. Its modern architecture handles the most demanding storage challenges in the most data-intensive technical computing environments, delivering truly epic performance at any scale, enabling organizations to maximize the full value of their high-powered accelerators—GPUs and FPGAs. Weka helps industry leaders solve big IT infrastructure problems and extract more value from their data faster. For more information, go to https://www.weka.io/parallel-file-system.
WekaIO, WekaFS, Weka AI, Weka Innovation Network, Weka Within, Weka AI logo, WIN logo, Weka Within logo, and the WekaIO logo are trademarks of WekaIO, Inc.