AI and ML workloads demand massive, high-performance data storage. Cloudian HyperStore with NVIDIA GPUDirect offers exabyte-scale object storage, enabling direct GPU communication, eliminating data migrations, and reducing costs while optimizing AI workflows. Read this overview to see how it streamlines AI storage architecture.
The explosive growth of AI and machine learning workloads is driving demands on storage infrastructure. Organizations face challenges in managing datasets, optimizing GPU use, and controlling costs while ensuring high-performance data access.
This brief explores how object storage platforms address these challenges with advanced GPU integration, including:
• Direct storage-to-GPU communication delivering up to 35GiB/s per node
• Unified data lake architecture eliminating costly migrations
• Simplified infrastructure reducing expenses
Read the full brief to learn how to streamline AI workflows and maximize GPU efficiency.
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