MinIO

MinIO MemKV is a new class of infrastructure. ✨ For years, we’ve focused on the data foundation for AI. Today, we’re extending that foundation into the inference layer, where efficiency and performance define success. What does this mean for the stack and the future of AI? Co-CEO and co-founder Garima Kapoor explains.

With @Supermicro and @intel, we validated an AI-ready reference architecture built for modern AI and analytics. The reference architecture combines Supermicro X14 Hyper systems, Intel® Xeon® 6 processors, and MinIO AIStor to deliver scalable, software-defined performance for demanding enterprise workloads. Read the solution brief: bit.ly/4bsxzFs

Modern analytics shouldn't require moving your data. @HyperFRAME_Res 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: bit.ly/4wLRs2B

Compliance starts with the data layer. A global pharmaceutical manufacturer modernized QA batch image retention with AIStor, meeting strict FDA, EMA, and cGMP requirements while simplifying long-term data management across air-gapped sites. Learn more: bit.ly/4pkUdFm

How do you unlock more value from your existing data without creating additional copies or silos, or increasing risk? AI is only as effective as the data it can access. Learn how leading organizations are extending @databricks to on-premises data while keeping data where it delivers the most value. bit.ly/4f0xdZ3

Buying GPUs is easy. Keeping them productive is the hard part. As AI workloads scale, data infrastructure determines whether GPUs spend their time computing or waiting. More from co-founder, Garima Kapoor, in @ForbesTechCncl. bit.ly/4wu9dDh

Legacy infrastructure eventually reaches its limits. Orange Côte d'Ivoire modernized its data foundation with a data lakehouse powered by MinIO AIStor—built to support growing data volumes, analytics, and AI. See how they approached the challenge. bit.ly/4gr44ax

The best copy of your data is the one you never have to make. Field Architect Dwight Evers explains why zero-copy is changing the way organizations build AI and analytics infrastructure.

Inefficient AI inference? @Poller highlights wasted GPU cycles reprocessing context. @Solidigm & @MinIO's solution: high-density NVMe storage as shared context memory boosts concurrent requests & reduces Time to First Token. Coverage #AIIFD5 buff.ly/EWs2wvf

AI is getting more capable—and more expensive. In his latest for @FastCompany, co-founder and co-CEO Anand Babu Periasamy explores the hidden cost of the recompute tax and why persistent memory is changing the economics of AI. Read more: fastcompany.com/91567574/the-r…

Models are getting smarter. Code is getting cheaper. The next competitive advantage is data—and the infrastructure that gives AI persistent memory. As co-founder & co-CEO, Garima Kapoor, says, "Agents, like people, need to hold memory. Based on that memory, they can make a decision." Watch the full conversation: youtube.com/watch?v=-qzjGB…

Semantic search is what turns embeddings into relevant answers. As AI workloads grow, fast vector search depends on a data infrastructure that can efficiently store, serve, and scale embeddings and indexes. Get started with the fundamentals of semantic search—and learn how NVIDIA cuVS and MinIO AIStor accelerate vector search for modern AI workloads. bit.ly/44ycUMm

MinIO has been listed as a Sample Vendor in Gartner™ Hype Cycle™ for Hybrid AI Infrastructure and Hype Cycle for Storage Technologies reports. We feel this recognition reflects the growing importance of high-performance data infrastructure for AI, analytics, and cloud-native workloads. We're proud to help organizations build the data foundation for AI anywhere.

AI factories are only as powerful as the data layer behind them. MinIO and @HPE are helping customers keep data moving, GPUs fed, and AI innovation accelerating—with infrastructure built for what's next, including MemKV. Chief Corporate Development Officer Ran Kurup tells us what's next.

The catalog is the control plane for Apache Iceberg. With mc table migrate, AIStor teams can move catalog metadata into AIStor's built-in Iceberg catalog in a few steps: 1️⃣ Connect the source catalog 2️⃣ Register the existing Iceberg tables 3️⃣ Manage metadata and object storage from AIStor A technical deep dive on simplifying Iceberg architectures through catalog consolidation: bit.ly/4eV5usu

From experimentation to production with MinIO and @databricks at #DataAISummit. 🎥 CTO Ugur Tigli shares how our partnership is helping enterprises build scalable AI and analytics platforms—eliminating data bottlenecks and enabling teams to move faster from pilots to production.

MinIO extends @databricks to your on-prem data. No data movement. No copies. No separate layers. CTO Ugur Tigli showed us how it works this morning at #DataAISummit.

Not at #DataAISummit? No problem! Field Architect Dwight Evers is here to share some of our most frequently asked questions, starting with performance. With @databricks, connecting to AIStor via OpenSharing and open table formats makes your data instantly accessible.

A special highlight from #DataAISummit, welcoming @databricks CEO Ali Ghodsi and the team at our booth. Here’s to continued collaboration—unlocking enterprise data and meeting it where it lives through a unified data layer.

@databricks Learn more on our blog: min.io/blog/aistor-ta…

Live from #DataAISummit: We've heard it before: "We have on-prem data, but we can't move it." You need AIStor Table Sharing for secure zero-copy sharing. Ft. A demo with Field Architect Dwight Evers and @databricks Denis Dubeau.