AIStor

Custom MinLZ compression algorithm optimized for mixed data types in object storage

A cybersecurity firm faced soaring cloud costs and performance bottlenecks with AWS S3 as their log data grew to a multi-exabyte scale. They adopted MinIO AIStor for high-performance, S3-compatible object storage, cutting costs and boosting efficiency.

MinIO + AMD: Unlocking AI/ML performance with EPYC processors & NVMe drives for high-throughput workloads

AIStor eliminates AWS S3 Tables limitations with uniform performance across all buckets

PromptObject API lets you "talk" to unstructured objects using natural language—AI-powered data interactions

S3 over RDMA reduces CPU overhead for 400GbE networking in GPU-intensive workloads

Conversational AI interface for natural language queries against object storage data

AIStor product launch introducing promptObject API, S3 over RDMA, and AIHub repository

High-performance data preprocessing with Polars DataFrame library and MinIO integration

Safe concurrent writes using If-Match and If-None-Match HTTP headers for data consistency

Flexible erasure code configuration for custom data and parity drive ratios per deployment

DataPod: MinIO's 100PB reference architecture blueprint for exascale AI—validated with major customers

Introduction to AIStor's exascale AI storage capabilities and architecture

Intelligent caching layer accelerates frequently accessed data for improved query performance

Interactive calculator tool for planning erasure code configurations and capacity

SUBNET support platform with health diagnostics and performance testing for enterprise deployments

Console UI redesign provides intuitive management for enterprise object storage operations