Data and Memory Foundation for Enterprise AI

Unify enterprise data on a secure, governed foundation built on open formats. Give AI agents trusted context and persistent memory, while maintaining data control and reducing AI costs.

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IN THE NEWS

HUMAIN and MinIO Announce Strategic Partnership to Build AI Data Fabric

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IN THE NEWS

MinIO AIStor and MemKV Deliver the Secure AI Data Path with NVIDIA Vera BlueField-4 STX®

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IN THE NEWS

MinIO Named Databricks ISV Storage Partner of the Year

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NEW FEATURE

AIStor Memory: Long-term Memory for AI Agents

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UPCOMING WEBINAR

Bridging On-Prem Data to Databricks with AIStor Table Sharing October 22nd | 1:00pm EDT / 10:00am PDT

Power Every Enterprise AI Workload

Every enterprise AI depends on trusted data and long-term memory. Together, they form the foundation for AI-ready data, intelligent agents, model training, and real-time inference.

AI-Ready Lakehouse

Transform enterprise data into AI-ready data.

Create one governed copy of enterprise data that powers analytics, AI applications, and intelligent agents. Eliminate fragmented data architectures with an open lakehouse built to scale from traditional analytics to enterprise AI.

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AI Agent Memory

Give every AI agent a memory that lasts.

Preserve what AI learns across every interaction, making knowledge discoverable, reusable, and available to every agent. Deliver only the most relevant context to AI models, improving response quality while reducing latency and token costs, all while keeping your knowledge secure, governed, and under your control.

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AI Inference

Eliminate the recompute tax.

Never rebuild context twice. Persist and share inference context across GPUs with sub-10ms context memory, eliminating recompute to deliver faster responses, higher GPU utilization, and lower inference costs.
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AI Training

Run every GPU at line rate.

Purpose-built for AI training at scale. AIStor re-engineers the data path for modern GPU infrastructure to deliver up to 23.5 TiB/s of throughput, keeping GPU clusters continuously supplied with data, checkpointing large scale foundation-parameter models in seconds, and eliminating the bottlenecks that slow AI training.

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Trusted By the World's Most Demanding Data-driven Organizations

77% of Fortune 500 use MinIO

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Built for Enterprise AI Workloads

$2M

Average savings  per 100 GPUS.

23.5 TiB/s

Peak throughput feeding GPU clusters.

95%

GPU utilization with  AIStor vs alternatives.

<10ms

P99 inference latency with MemKV.

50%

Lower cost per token vs cloud alternatives.

One Foundation. Every AI Workflow

AI agents work across enterprise systems, retrieve trusted data and memory, use the right models to reason, and retain knowledge and context over every interaction.

Diagram of MinIO AI'STOR Data & Memory Foundation connecting Enterprise AI Agents, Enterprise Data & Applications, and AI Models. Enterprise AI Agents understand goals, plan, retrieve context, and take actions. Enterprise Data & Applications include databases, documents, files, logs, and business applications. The Data & Memory Foundation has Enterprise Data, offering trusted, governed, AI-ready structured and unstructured data, and Persistent Memory for decisions, outcomes, corrections, and growing knowledge. Features: Secure, Governed, Durable, Portable. AI Models use best models from providers Meta, Google, Anthropic, OpenAI, and Mistral. Bottom icons highlight Open & Standards-Based, Built for Performance, Enterprise Ready, and Deploy Anywhere capabilities.

One Foundation. Two Layers Deep

The Data and Memory Foundation consists of two complementary layers that power every AI workload.

AI that learns, instead of starting over

Every interaction creates context, decisions, artifacts and knowledge. MinIO preserves them in a shared memory layer so every agent builds on what came before.

Complete organizational memory. Every decision, artifact, and interaction retained. Nothing lost.

No vendor lock-in. Open, portable formats work with any AI framework.

Accessible across your enterprise. Standard protocols, no new integration work.

Enterprise-grade resilience. AI knowledge protected like critical business data.

Governed and auditable. Every agent action visible for compliance and security.

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Diagram showing three agents at the top labeled Anthropic Daytona, OpenAI Vercel, and Any Model Any Sandbox Any Framework. They connect to a box labeled MiniIO AIStor, an enterprise memory layer for AI that accumulates and makes knowledge available. Inside AIStor are three components: Long-term Memory for persistent context and knowledge, Workspace for durable artifact storage, and Vault for encrypted secrets and credentials. At the bottom is Enterprise Security covering encryption, governance, access control, and audit compliance.

Turn enterprise data into AI advantage.

Enterprise data must be usable across analytics, AI, and intelligent applications, without creating silos, copies, or new infrastructure. AIStor brings data together in a modern lakehouse on a single, governed foundation so every workload works from one source of truth. No silos. No copies. No migrations.

One Data Foundation. Consolidate tables, files, and objects in a modern lakehouse under one governance model.

Every AI Workload. Power analytics, AI applications, agents, model training, and inference from the same trusted data.

Govern Once. Security, encryption, lifecycle, and compliance policies applied consistently across all data.

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