Our engineering team is pushing the boundaries of what's possible, even as development timelines accelerate.
Co-founder Garima Kapoor explains what's driving this acceleration and what it means for the future of software development. โฌ๏ธ
https://t.co/qmNrUa5Tgc
As enterprise AI scales, fragmented systems and growing data volumes strain infrastructure.
๐ฅ CTO Ugur Tigli joined SDxCentral to discuss how a unified data foundation can overcome these challenges and support AI at scale. https://t.co/XOKZbUdSFQ
MinIO is headed to ODSC AI West 2026 on Oct. 27-29 ๐ https://t.co/JAHR8E7c6V
From connecting enterprise data to analytics to building persistent memory for AI agents, we're showcasing how MinIO delivers the data and memory foundation for AI at scale alongside our partners at @databricks and @nvidia.
Find us at Booth #7 to meet the team and explore what's possible with AIStor.
Skip the demo. Build it yourself. ๐ ๏ธ
In these technical workshops, you'll get hands-on experience with AIStor + Databricks, connecting on-premises data to analytics without moving or replicating it.
Two hours. Your own lab environment. A working, secure table share.
๐ November 12 or 18 | Limited to 40 participants per session
Register now: https://t.co/Hm5xXwzgDh
Agentic AI is changing what GPUs need from memory infrastructure.
Using @NVIDIA Nemotron 3 Ultra on NVIDIA H200 GPUs, our engineering team tested what happens when context can persist beyond GPU memory, and what that means as concurrent agentic workloads scale.
The results point to a new way to think about context memory for enterprise AI. https://t.co/3uJntYLaHd
What if security agents could reason across relationships without moving data?
@puppyquery + AIStor enables graph queries and SQL analytics on the same data, giving AI agents grounded context without a separate graph database.
โก๏ธ Here's a tutorial: https://t.co/UVjGQIiiJy
3๏ธโฃ steps. No data movement.
AIStor connects on-premises data directly to @databricks with native Table Sharing, keeping a single copy of your data in place and ready to query.
Go deeper in our upcoming training webinar to move from setup to query.
๐: https://t.co/smZ76zDYHm
Congratulations to MinIO Co-founder and CEO @abperiasamy on being named to @h2oai's 2026 AI 100 list! ๐
A well-deserved recognition of his vision and leadership in building the high-performance data infrastructure enterprises rely on to power AI at scale.
Tomorrow in Dallas, get hands-on with AIStor + @databricks.
We're at #DataAIWorldTour to demo native Delta Lake and Iceberg support, production-ready authentication, zero-downtime administration, and data protection, all from a single AIStor binary.
๐ Oct. 14 | 1:00โ1:40 PM CDT
๐: https://t.co/QG5ijzWAmW
Amazonโs acquisition of DuckLabs reinforces where the lakehouse is headed: query data where it lives.
Thatโs the architecture MinIO is built forโa high-performance data foundation for open analytics engines and table formats like DuckDB and Iceberg. https://t.co/7naEvcmvhX
Prompt caching works until reusable KV state is trapped on one GPU. At production scale, that state needs to move across workers and nodes.
This is the architecture behind shared context memory.
Keep reading: https://t.co/O4AyhtcG5y
What does the data architecture for production AI agents actually look like?
Join MinIO and @lakeFS to dive into agent memory, data isolation, reproducibility, and governance + how to build those capabilities into the infrastructure layer without slowing development down.
๐ 10/22 | 12 PM ET
๐: https://t.co/NbPTQtMisl
Every GPU dollar should produce useful work.
When GPUs repeatedly process context theyโve already seen, youโre paying for duplicate compute.
Prompt caching changes the economics: reuse context, reduce recompute, and get more from every GPU dollar. https://t.co/198MfNMYk7
Faster queries. Single-copy cost savings. Stronger access controls. Data under your control.
Get the blueprint at @databricks#DataAIWorldTour Dallas with product experts Dwight Evers and Denis Debeau. https://t.co/QG5ijzWAmW
๐ Oct. 14 | 1:00โ1:40 PM CDT
Not in Dallas? Stay tuned for insights from the session.
A cache should be faster than whatโs behind it.
CoreWeave LOTA warm cache: 18.4 GiB/s per node. MinIO AIStor, no cache: ~33.5 GiB/s per node from durable, erasure-coded storage over plain TCP.
This is what CoreWeaveโs benchmark leaves outโand the number every cache benchmark should publish: https://t.co/RoF1mKn3AU
What does it take to build AI at scale? Start with data.
As AI moves from models to production, the underlying infrastructure matters more than ever.
More from co-CEO Garima Kapoor on the data foundation powering enterprise and sovereign AIโand what it takes to build for what comes next. https://t.co/jHMLb7reYj
Your data can stay on-prem. Your analytics donโt have to.
Join us on 10/22 for a hands-on look at AIStor Table Sharing and how enterprises can securely connect on-prem Delta and Iceberg tables to @Databricks.
โ๏ธ Register to see it in action: https://t.co/smZ76zDYHm
From Saudi Arabia to the world.
#LEAP26 brought together the people building the future of AI. For MinIO and @HUMAIN, it marked a major step in building the data and memory foundation for sovereign and enterprise AI at a global scale with HUMAIN Fabric.
Thank you to our team and everyone who joined us in Riyadh.
See you next year.