A software-defined data storage platform engineered for AI, ML, DL, and HPC workloads, it blends a flash-first parallel file system with true parallel I/O, NVMe-first architecture, and scalable, linear growth to keep thousands of GPUs and storage nodes saturated. It solves latency and throughput challenges, data-management complexity, and durability concerns by offering policy-driven automated cluster management, self-healing updates, non-disruptive upgrades, erasure-coded protection on commodity hardware, and cloud-scale economics, making it ideal for academic researchers, enterprise data teams, government and energy labs, healthcare and life sciences, financial services, manufacturing, and other data-intensive users who require secure, scalable, and efficient data storage for AI and HPC workloads.
VDURA galima rasti Data Warehouse & Data Lake Platforms kategorijos.
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