AIStor

Modern AI architecture rests on a comfortable assumption: when AI slows down, the fix is more compute or a better model. Bigger GPUs. Denser clusters. New architectures. That assumption is now costing organizations real money.

Storage, not models or compute, is now AI's biggest bottleneck. The fix is an architectural one, not a bigger GPU.

106 million vectors indexed 12x faster. AIStor with NVIDIA cuVS and GPUDirect RDMA rewrites the benchmark.

Legacy storage talks to the AI factory. AIStor lives inside it — running natively on NVIDIA BlueField-4 Vera

Delta Sharing + AIStor enables zero-copy access to on-prem data from Databricks without duplication

Table Sharing connects Databricks directly to on-prem AIStor data via Delta Sharing without copying/syncing

Technical comparison detailing 13,000+ commits separating AIStor from unmaintained OSS

Announcing AIStor Free, Enterprise Lite, and Enterprise subscription options

Why "Awardable" matters for gov agencies—MinIO AIStor validated in CDAO Tradewinds for federal AI infrastructure

Former Intel Capital exec Ran Kurup joins MinIO as CCDO—lead strategic growth in AI infrastructure era

Global telco replaced legacy storage with AIStor lakehouse—scalable, cost-efficient foundation ready for AI insights

Solve sovereign AI challenges for government—on-prem infrastructure ensures secure, compliant AI under national control

Iceberg as foundation for enterprise AI—Tables native in AIStor unifies structured/unstructured data for agentic AI readiness

Native Iceberg Catalog REST API implementation with warehouse-namespace-table hierarchy

AIStor on Supermicro pre-integrated pods—turnkey private cloud AI infrastructure via Arrow Electronics partnership

Liberating data enables government agencies to modernize storage, cut hidden costs, and unlock mission-driven insights. By strategically curating, archiving, and aligning data with AI-driven priorities, agencies improve efficiency, compliance, and decision-making while preparing for the future.

How enterprise rebuilt observability architecture at hyperscale with MinIO

S3 Express One Zone high-speed API support added to AIStor for low-latency operations

Real-time data pipeline with AIStor—stream processing architecture for low-latency analytics & operational intelligence

MCP server how it works—Model Context Protocol translates natural language to SDK calls for AIStor management

On-prem Iceberg case: Cost control & performance—avoid cloud bills, maintain sovereignty, deliver 2.2 TiB/s throughput

Natural language cluster administration using MCP server for health and configuration management

Model Context Protocol lets you manage AIStor with natural language via Claude/ChatGPT—no CLI needed

AIStor integrates NVIDIA GPU Operator to automate GPU setup & management for AI workloads in Kubernetes