MinIO AIStor Brings Object Data Stores for the NVIDIA STX Reference Architecture
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From Data to Dominance at the Tactical Edge
AIStor powers autonomous AI at tactical edge—air-gapped, JADC2-aligned for DDIL combat environments
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Benchmarking Vector Index Creation with MinIO AIStor, Milvus, and NVIDIA cuVS
106 million vectors indexed 12x faster. AIStor with NVIDIA cuVS and GPUDirect RDMA rewrites the benchmark.
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AIStor Inside NVIDIA BlueField-4: Object Data at Wire Speed
Legacy storage talks to the AI factory. AIStor lives inside it — running natively on NVIDIA BlueField-4 Vera
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MLflow Model Registry and MinIO
MLflow Model Registry integration for managing ML models with MinIO artifact storage
AI/ML
Integrations & Partners
Introducing MinLZ compression algorithm
Custom MinLZ compression algorithm optimized for mixed data types in object storage
AIStor
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The True Cost of Cloud: How One Cybersecurity Company Found a Better Alternative with MinIO AIStor
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.
AIStor
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Deploying Models to Kubernetes with AIStor, MLflow and KServe
Deploy ML models from local testing to Kubernetes at scale using AIStor, MLflow & KServe orchestration
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Unlocking AI/ML Performance with AMD + MinIO
MinIO + AMD: Unlocking AI/ML performance with EPYC processors & NVMe drives for high-throughput workloads
AI/ML
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Architect’s Guide to Open Table Formats and Object Storage
Lakehouse architecture guide: Compare Iceberg/Delta/Hudi formats with object storage for AI/analytics workloads
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The Architect’s Guide to Understanding Agentic AI
Architect's guide to agentic AI—LLMs orchestrate control plane & tools plane for automated business process execution
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AIStor on RedHat OpenShift for Local development
Deploy AIStor on Red Hat OpenShift locally using CodeReady Containers (CRC) for rapid development & testing
Kubernetes & Containers
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The Definitive Guide to Lakehouse Architecture with Iceberg and AIStor
Comprehensive guide to lakehouse architecture combining Iceberg table format with AIStor for analytics
Apache Ecosystem
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Model Checkpointing using Amazon’s S3 Connector for PyTorch and MinIO
Configure AWS S3 Connector for PyTorch to save model checkpoints directly to MinIO object storage
AI/ML
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Storage & Infrastructure
Iterable-Style Datasets using Amazon’s S3 Connector for PyTorch and MinIO
Iterable-style datasets with S3 Connector for PyTorch—stream training data efficiently from MinIO for large models
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Demystifying Amazon S3 Tables: Why AIStor Makes Special Buckets Unnecessary
AIStor eliminates AWS S3 Tables limitations with uniform performance across all buckets
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AIStor Best Practices for Updates and Restarts
AIStor updates run in parallel with sub-second restarts—zero downtime even at scale across hundreds of nodes
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Exness: Managing petabytes of trading data with MinIO
Exness case study managing petabytes of trading data with on-prem MinIO for cost savings
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Build a CI/CD Pipeline for your AI/ML infrastructure
Build MinIO CI/CD pipeline with Packer & Jenkins—bake images with Infrastructure as Code for automated deployments
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The most powerful S3 API ever? Introducing the Prompt API.
PromptObject API lets you "talk" to unstructured objects using natural language—AI-powered data interactions
AIStor
MinIO’s S3 over RDMA Initiative: Setting New Standards in Object Storage for High-Speed AI Data Infrastructure
S3 over RDMA reduces CPU overhead for 400GbE networking in GPU-intensive workloads
AIStor
Chat With Your Objects Using the Prompt API
Conversational AI interface for natural language queries against object storage data
AIStor
The Most Powerful Version of MinIO Ever - Introducing AIStor
AIStor product launch introducing promptObject API, S3 over RDMA, and AIHub repository
AIStor
Repatriating AI Workloads: An On-Prem Answer to Soaring Cloud Costs
Economic and performance case for repatriating AI workloads from cloud to on-prem
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Map-Style Datasets using Amazon’s S3 Connector for PyTorch and MinIO
Using S3 Connector for PyTorch to create map-style datasets with MinIO
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AI Data Workflows with Kafka and MinIO
Building event-driven architectures with Kafka message queues and MinIO object storage
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Replication, Data Consolidation, and Data Migration
How Parsec and MinIO simplify large-scale data replication, migration, consolidation, and cloud exit
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Working with Small Objects in AI/ML workloads
How MinIO handles small file performance with erasure coding and inline metadata
Performance
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