MinIO AIStor Resources

MinIO AIStor is an enterprise object storage platform designed for AI, analytics, and multi-environment data at scale. It serves as a governed foundation for agentic workloads, training pipelines, and lakehouse architectures across core, edge, and cloud environments.

Dremio and MinIO AIStor can be used together to replace legacy Hadoop clusters, modernizing data architecture and reducing costs for analytics workloads across on-premises and cloud environments.

MinIO AIStor serves as a high-performance S3 data plane for NVIDIA AI Factory pipelines. This ensures that the pipeline remains compute-bound throughout the entire lifecycle, from initial training to agentic inference.

MinIO AIStor provides a hyperscale object storage architecture specifically designed to handle the demands of exascale AI workloads.

F5 and MinIO provide a secure, high-performance on-premises alternative for AI workloads, specifically designed for organizations facing cloud cost constraints and latency limits.

AIStor is designed as a hyperscale object storage architecture specifically optimized for exascale AI workloads.

MinIO provides four proven migration patterns for moving to a lakehouse architecture, specifically targeting migration to AIStor Tables using Python.

The MinIO ExaPOD reference architecture is designed for exabyte-scale AI infrastructure, utilizing NVMe flash and 400GbE fabric to meet the high-throughput demands of AI workloads.

MinIO AIStor enables Databricks to have live access to on-premises Iceberg and Delta tables via Native Delta Sharing. This approach allows for zero-copy data access, eliminating the need for replication, sync pipelines, or format lock-in.

MinIO AIStor supports 'Table Sharing', allowing Databricks to perform live, governed queries on on-premises Iceberg and Delta tables without the need for data replication, pipelines, or vendor lock-in. This is achieved using native Delta Sharing, covering warehouse creation and bearer token authentication.

AI agents can be utilized within AIStor to plan and execute storage cleanup across versioned buckets at scale, ensuring safe data reclamation.