Build a S3-Compatible Private Cloud That Performs at Scale

Global enterprises are repatriating workloads from the public cloud to regain control over performance and cost—but they still need cloud-native agility. Discover how companies achieve true S3-compatibility on private cloud infrastructure with MinIO AIStor, eliminating the 20-30 PB wall that limits legacy systems while reaching 1+ exabyte scale.

This comprehensive guide reveals how to build private clouds that deliver hyperscaler performance on industry-standard hardware, with linear scaling, no gateway bottlenecks, and the same developer experience as AWS S3.

The Data Leader's Guide to the S3-Compatible Enterprise

Learn how to cut cloud costs by 60% while maintaining S3 compatibility and full data control.
What's Inside?

Your Complete S3-Compatible Private Cloud Guide

The Private Cloud Architecture Decision — Compare object-native vs. retrofit gateway approaches, understand why legacy SAN/NAS systems hit the 20-30 PB scaling wall, and learn the technical trade-offs that determine long-term success
Building True S3 Compatibility Without Gateways — Understand the critical difference between native S3 implementation and bolt-on protocols—and why gateway layers introduce latency, metadata bottlenecks, and scaling limitations
Deployment Strategies for Bare Metal and Kubernetes — Step-by-step guidance for deploying S3-compatible private clouds in minutes on bare metal, virtualized infrastructure, or within Kubernetes
Achieving Exabyte-Scale Performance — Explore cloud-native design and stateless architecture, erasure coding, and elimination of metadata bottlenecks to reach 21.8 TB/s aggregate throughput with linear scaling across nodes
TCO Analysis and Hardware Planning — Calculate true cost savings from eliminating egress fees and API charges, leverage commodity hardware for predictable economics, and model your infrastructure requirements for private cloud deployment
Real-World Private Cloud Case Studies — Learn how a global payments provider migrated petabytes from legacy object-gateway systems while maintaining billions of small-file workloads and achieving 70-80% faster report generation
What You'll Learn

Master S3 Private Cloud Implementation

Architecture
How to Deploy Object-Native vs. Gateway-Based Storage
Evaluate the critical architectural choice between true S3-native implementations and retrofit gateways over legacy SAN/NAS systems, understanding how stateless design eliminates metadata bottlenecks and enables linear scaling from petabytes to exabytes
Performance
Achieving Hyperscaler Throughput on Private Infrastructure
Learn proven techniques for reaching 19.2 TB/s aggregate performance, eliminating the 20-30 PB scaling wall, and feeding GPU clusters without I/O bottlenecks using a single, flat namespace and distributed architecture
Economics
Building Your TCO Model for Private Cloud Migration
Calculate true cost savings from eliminating egress fees and API charges, model hardware requirements for predictable unit economics, and justify private cloud investment with real enterprise benchmarks
Trusted by Leaders

Proven Across Global Enterprises

Ready to Build Your S3-Compatible Private Cloud?

Download the definitive guide to building S3-compatible private clouds that eliminate egress fees while delivering hyperscaler performance. Discover how leading enterprises achieve true cloud portability, complete data sovereignty, and predictable TCO—all on infrastructure you control.
What's Inside?

Your Complete Data Lakehouse Guide

80%

Cost reduction vs. legacy systems

33%

Faster query performance

250PB

Daily data ingest per client

20+

TiB/s throughput achieved
Key Capabilities

Purpose-Built for AI & Analytics

Industry Leader

Trusted by the Fortune 100

77% of Fortune 100 companies rely on MinIO AIStor for their AI/ML and analytics workloads

Ready to Build Your AI Data Lakehouse?

Join the 85% of organizations optimizing their data lakes and warehouses for AI. Download our Data Leader's Guide to learn how leading organizations are evolving to data lakehouses.