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WEKA is for organizations running data-intensive AI, machine learning, and high-performance computing (HPC) workloads that need fast, shared access to large datasets across infrastructure. Its software-defined storage platform helps reduce data bottlenecks that can slow GPU-based training, scientific computing, simulations, and analytics. The platform combines high-performance flash storage with object storage in a shared namespace, so applications can access data across on-premises systems, public clouds, and hybrid environments. It supports file and object access, including POSIX, NFS, SMB, and S3, and can automatically move less frequently used data to object storage. Organizations can deploy WEKA alongside existing compute infrastructure or scale storage as workloads grow. It may suit teams seeking a common storage layer for AI pipelines or HPC workloads across multiple environments; it is enterprise infrastructure software, rather than a general-purpose consumer app.
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