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Enterprise Layer Intelligence
Categories/Data Platform & Integration/MinIO
MinIO

MinIO

Founded 2014

Store and manage high-speed object data for AI

Pricing model

Free

You can use MinIO to store, retrieve, and manage large-scale unstructured data across your enterprise infrastructure. It provides high-performance object storage compatible with Amazon S3 APIs, making it suitable for modern AI training, inference pipelines, and analytical data lakehouses. The software preserves context and memory across autonomous agent interactions, eliminating redundant processing across GPU clusters. Teams can build private cloud storage foundations, share data tables securely with analytics systems like Databricks, and run high-throughput data workloads on-premises or in hybrid environments without vendor lock-in.

What MinIO does

Deploy S3-compatible storage nodes on physical servers or KubernetesStore and retrieve massive unstructured datasets using standard APIsPersist conversational context across distributed AI model deploymentsConnect on-premises object storage to Databricks workspacesMonitor storage cluster read and write throughput metricsConfigure encryption and data governance rules across bucketsHigh-throughput object storage designed for AI training workloadsS3-compatible API for universal application compatibilityPersistent memory layer for AI agents and model contextNative table sharing integration with DatabricksSupport for NVIDIA STX reference architectureSub-10ms inference context persistence to reduce recomputingUnified data lakehouse support for files, objects, and tables

Pricing breakdown

Pricing model: Free

PlanList price
FreeFree

Frequently asked

DatabricksDatabricksKubernetesKubernetes

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MinIO, object storage, S3 compatible, AI data storage, high performance storage, data lakehouse, AI memory, GPU storage, enterprise storage, on-premise cloud, Kubernetes storage, open source storage, AIStor, deep learning data, unstructured data storage, distributed storage