Storage & Infrastructure

MinIO MemKV eliminates the recompute tax in GPU inference clusters with shared petabyte-scale context memory.

AIStor transforms content delivery for Global Streaming platform

Pharma/biotech leader ensure 21 CFR Part 11, cGMP, FDA, and EMA regulatory compliance with AIStor

Orange Group subsidiary cut compliance query times from hours to minutes with AIStor, boosting productivity by 300%

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

Multi-protocol storage promised everything, delivered compromise—purpose-built object storage beats retrofitted file/block hybrids

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

Databases optimized for object storage using S3 API for disaggregated compute-storage architecture

Scalability, durability, and API advantages of object storage over legacy SAN/NAS systems

How enterprise rebuilt observability architecture at hyperscale with MinIO

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

NVIDIA GTC 2025 summary covering compute, networking, storage, and partnership announcements

Decision framework for evaluating software-defined object storage vendors and features

Deploy AIStor on Red Hat OpenShift locally using CodeReady Containers (CRC) for rapid development & testing

Configure AWS S3 Connector for PyTorch to save model checkpoints directly to MinIO object storage

Iterable-style datasets with S3 Connector for PyTorch—stream training data efficiently from MinIO for large models

Build MinIO CI/CD pipeline with Packer & Jenkins—bake images with Infrastructure as Code for automated deployments

Using S3 Connector for PyTorch to create map-style datasets with MinIO

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

WARP-speed AI data storage—measure MinIO performance with distributed S3 benchmarking for ML infrastructure validation

Migration guide from Dell ECS legacy storage to MinIO modern object storage