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Data and Memory Foundation for Enterprise AI
Give every AI agent access to your enterprise's knowledge—and the ability to preserve, securely share, and build on everything it learns.
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.
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.
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.
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.
Trusted By the World's Most Demanding Data-driven Organizations.
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.

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.
Learn more
about AIStor Memory

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.
Learn more
about the AI-Ready Lakehouse
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AIStor is Directly Inside the Reference Architecture.
Deply integrated, not just compatible. The companies setting the standard for enterprise AI infrastructure chose MinIO.
IN THE NEWS
MinIO AIStor & MemKV Deliver the Secure AI Data Path with NVIDIA Vera BlueField®-4 STX
The only object storage and context memory solution purpose-built across the complete AI data pipeline, from persistent S3 storage to in-context GPU memory.

Native support for Databricks OpenSharing and Unity Catalog.
AIStor's native OpenSharing implementation connects your on-premises data directly to Databricks, with no copies, ETL overhead, or latency tax. Analyze your data without moving it.
The Trusted Foundation for Enterprise AI
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