AI agents can reason. AI agents can use tools. Now they need a place to remember. Introducing AIStor Memory, giving enterprise AI agents a durable place to store their memory, files, and secrets in a single integrated system. 🧵 bit.ly/4fDtm31

Agentic sessions build context, go idle, then return after KV cache may have been evicted. We benchmarked MemKV around that real behavior: human-paced pauses, GPU caching left on, and context offloaded when needed. bit.ly/46wQLPI

Three days of great conversations at #AIInfraSummit with @NVIDIAAIInfra. The takeaway: GPUs shouldn’t be waiting on data. The data and memory layer needs to keep them productive as AI workloads scale. Thanks to everyone who joined us last week.

Repeated prefill burns GPU cycles on context the model has already processed. Prompt caching changes that equation. As context windows grow, how you cache and reuse KV directly affects inference performance and GPU efficiency. ➡️ We’re starting with the fundamentals. bit.ly/46BAA3w

We deleted an agent mid-execution, then started a new worker with zero session history. It picked up where the last one stopped. AIStor Memory Workspace persists agent state outside the runtime, so work survives worker failure, restart, or replacement. This is how it works: bit.ly/4yGVaeO

We're hosting a technical discussion with @NVIDIAAIInfra on building a more efficient data and memory layer for AI inference. ✅ Reduce data movement ✅ Keep context accessible ✅ Make more efficient use of GPU infrastructure 📅 September 17 | 10 AM PT / 1 PM ET 🔗 Register: bit.ly/4qinktN

Not every AI agent needs to know everything about you. Agents need persistent context, with clear boundaries around what they retain, access, and use. AIStor Memory keeps each agent’s memory private, persistent, and isolated. Build agent memory with boundaries: bit.ly/4d9CagD

AI is moving from individual models to platforms that can put intelligence to work. That’s the thinking behind HUMAIN Fabric, which MinIO and @HUMAIN are co-developing as a unified, AI-native platform for a new class of agentic data engineering. Co-Founder and CEO AB Periasamy shares what this shift makes possible for enterprises — and why we’re building for it together. bit.ly/4xbhXOx

8️⃣ cities. 1️⃣ conversation. We’re bringing AIStor on the road to show how enterprises can build a high-performance, open data foundation for analytics and AI — with governed access to data across MinIO and @Databricks. 👋 Meet the MinIO team and see where we’ll be: bit.ly/3UJ1uUu #DataAIWorldTour #Databricks

Is your data and memory layer keeping pace with your increasingly demanding AI workloads? Join product leaders from MinIO and @NVIDIAAIInfra at #AIInfraSummit on September 17 in Santa Clara. 🗓️ Add it to your calendar: bit.ly/4i7Ul9P #NVIDIAAIINFRASTRUCTURE

Memory without boundaries is a liability for AI agents. AIStor Memory gives agents durable, scoped memory, so an inbox agent remembers commitments without inheriting your purchase history, workouts, or the rest of your digital life. Know deeply. Share narrowly. Stay in control. bit.ly/4d9CagD

A defining week for the team at #LEAP26. 🌍 Our strategic partnership with @HUMAIN positions MinIO as the data and memory foundation of a new generation of sovereign and enterprise AI. Built for the performance, scale, and flexibility AI demands.

Organizations want the freedom to choose where their data lives. That’s one of the strengths we bring to our strategic partnership with @HUMAIN. At #LEAP26, Chief Corporate Development Officer Ran Kurup shared why the partnership is a natural fit and how that flexibility can help shape AI infrastructure at a global scale.

MinIO is a sponsor of #AIInfraSummit ⭐ AI infrastructure is only as powerful as the data and memory foundation behind it. As GPU fleets scale, that foundation has to deliver high-performance data access, persistent context memory, and bandwidth that scales with compute. See how we’re building the data infrastructure for the next generation of AI. bit.ly/4i7Ul9P

The future of AI will be built on integrated platforms that bring infrastructure, data, memory, models, and agents together. That’s the work underway with @HUMAIN, and MinIO will underpin the data and memory layer, connecting a growing ecosystem of AI infrastructure and services. @BlocksandFiles and Files goes deeper into the architecture and the technology behind the partnership. bit.ly/4yaYtuq

We’re co-developing the next generation of AI-native infrastructure with @HUMAIN at #LEAP26. On stage in Riyadh, product expert Karthik Srinivasan joined HUMAIN, @AWS, and SLB to discuss the AI data platform for the future and what it takes to build for sovereign and enterprise AI at scale. Data and memory are foundational to what comes next. Stop by the booth to learn more.

MinIO is now @HUMAIN's data and memory foundation partner. At #LEAP26, we announced a strategic partnership to build an AI data fabric for HUMAIN AI, starting with HUMAIN Fabric and deployments in Saudi Arabia before expanding globally. bit.ly/45ZTnFl

Find your data and memory foundation at #LEAP26 in Hall 5, Booth E20. MinIO is trusted by the world’s most demanding and data-driven organizations, and you can see why next week in Riyadh. ➕ 2B+ downloads ➕ 32.9K+ community members ➕ 1.4K developers One foundation. Every AI workflow. Learn more. bit.ly/45SkrGA

This is the complete GPU storage stack. Three layers that form one pipeline. Each layer is built for a different part of the AI lifecycle. The result is an architecture designed around how GPUs actually consume data, from sustained throughput during training to microsecond context access during inference. This technical guide breaks it down. bit.ly/4wIW7Sl