The Cloudian secure hybrid data lake is a scale-out, on-premises data repository. Shared, scalable, and secure, it can house unstructured data of all types for use cases including AI, data observability, data protection, and more. It offers a unique combination of capabilities that make it ideal for capacity-intensive workloads that require cloud-like capabilities, but in an on-premises setting.
Solutions for AI
Cloudian HyperStore optimizes AI workloads by supporting popular machine learning frameworks like TensorFlow, PyTorch, and Spark ML. These frameworks are specifically designed for parallel training from object storage, providing improved performance and compatibility. Organizations can harness the power of GPUs without storage limitations, maximizing the utilization of expensive and high-demand resources.
Learn more about solutions for AI here.
Solutions for Backup and Disaster Recovery
Cloudian is compatible with data protection software from Veeam, Rubrik, Commvault, Veritas, and more.
Learn more about solutions for data protection here.
Solutions for Observability
Its scalable architecture allows organizations to handle large volumes of diverse data types, essential for thorough data observability across various environments. Furthermore, Cloudian’s multi-tenancy and secure access controls ensure that observability data remains isolated and protected, making it a reliable and efficient solution for maintaining comprehensive data visibility and control in complex IT environments.
Learn more about solutions for observability here.
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