MinIO

Streaming platforms don't get to choose when demand spikes, but they have to be ready when it does. That's why this global streamer relies on MinIO AIStor to deliver resilient, petabyte-scale performance that keeps content flowing when it matters most. See how AIStor performs under pressure. https://bit.ly/3RZX4aE

The future of AI infrastructure is being built on open architectures. Join us at the Supermicro Open Storage Summit to hear how this outstanding lineup of industry leaders is approaching AI data infrastructure, inference, agentic AI, and modern data management. 🧠 https://bit.ly/4wqrPVn

Open-weight models make AI more accessible. Open infrastructure makes AI more deployable. The future belongs to architectures that keep models flexible and data under enterprise control.

Agentic AI raises the bar for enterprise infrastructure. As agents take on longer-running, more autonomous work, the demands on the underlying data infrastructure change. Enterprise data must be instantly accessible, performance has to keep pace with real-time decisions, and the foundation needs to scale as agents and workloads grow. These are the three infrastructure requirements for production agentic AI. https://bit.ly/44OacCz

New here? Or need a refresher? AIStor is the data foundation trusted by enterprises for AI and analytics. From native Iceberg tables and secure table sharing to industry-leading S3 compatibility and software-defined simplicity, this solution brief covers the capabilities that power modern data infrastructure. Get up to speed. 👇 https://bit.ly/48zuuTc

Customer reporting was the challenge. AI readiness became the outcome. A global digital payments provider modernized its infrastructure with MinIO AIStor to solve an immediate operational need while creating a more agile foundation for what's next. The results: ⚡ 70–80% faster merchant report delivery ⌛ On-time six-month data center exit 👥 400M+ merchants supported Read the success story. https://bit.ly/4vKqNST

1️⃣ Keep your enterprise data where it belongs. 2️⃣ Make it available in Databricks Unity Catalog. 3️⃣ Start analyzing—without replication. AIStor Table Sharing gives Databricks secure, zero-copy access to governed on-premises Delta and Iceberg tables while maintaining a single source of truth.

Every request tells a story. Distributed tracing helps engineering teams understand how requests move across services, APIs, and databases, making it easier to identify bottlenecks, troubleshoot issues, and optimize application performance. These are the fundamentals. https://bit.ly/4brTNaE

Alongside Supermicro and Intel, we validated a reference architecture built on Supermicro X14 Hyper systems with Intel® Xeon® 6 processors and MinIO AIStor. The result is a high-performance, software-defined storage platform designed for AI, analytics, and data lakehouse workloads, combining PCIe Gen5 bandwidth, dense NVMe storage, and S3-native performance in a power-efficient design. See how the architecture was tested and what it means for organizations building the next generation of AI infrastructure. https://bit.ly/4bsxzFs

Modern analytics shouldn't require moving your data. HyperFRAME Research examines how AIStor Table Sharing extends Databricks analytics to governed on-premises Delta and Iceberg tables—enabling zero-copy access while keeping a single source of truth. Read the analysis: https://bit.ly/4wLRs2B