MinIO

MinIO just reached an amazing milestone, one that no storage company has even come close to - one billion Docker pulls. Thank you to our customers, partners and our community for helping us get here. Read Garima Kapoor's thoughts here: https://hubs.li/Q01mQc9X0 #opensource

The #moderndatalake is one-half data warehouse and one-half data lake—and uses #objectstorage for everything. Thanks to Open Table Formats (OTFs) like Apache Iceberg, Apache Hudi and Delta Lake, object storage can seamlessly power data warehouses. These offer advanced features that may not exist in a conventional data warehouse like snapshots, schema evolution, and zero-copy branching. This article by Raghav Karnam covers the rise and fall of Hadoop HDFS and why high-performance object storage is the future of #bigdata. https://hubs.li/Q02HRhf20

Summer is coming to an end, folks, but we are keeping the heat with this month’s newsletter. Take a peek inside to see why #NFS must die, how our customers are saving money AND increasing performance by using MinIO—and much more. Not to mention our awesome Bits and Bytes section full of the 🔥 content that YOU’VE all created.

Microblink selected MinIO for a cloud-native, high performance #objectstorage solution which allowed them to manage data used for training machine learning models and cut costs by 62%. Read the new case study for all the details: https://lnkd.in/gDuejqqu

AI/ML SME Keith Pijanowski breaks down how Microblink’s #data infrastructure has evolved over the years to handle more demanding #AI workloads that require larger amounts of data—ultimately leading them to MinIO. Not only did they see performance improvement, but they also experienced a 62% cost savings. Get the rest of the details here: https://lnkd.in/g8JUpcXX

As validated by #GartnerPeerInsights, customers have confirmed that simplicity and high performance give MinIO the competitive edge in the #objectstorage industry. https://min.io

The team over at StreamZero breaks down the object storage landscape from the perspective of an #AI model store. Who's fast, who's cloud-native, who's expensive... and who works. It includes a great explanation of why everyone is turning to #objectstorage. Good stuff. https://lnkd.in/gWzJyRbT

Tune in to this Packet Pushers Tech Byte’s podcast features an enlightening discussion with Jonathan Symonds, CMO at MinIO, and Greg Ferro, Technology Industry Analyst. The conversation dives into how #objectstorage is changing the landscape of AI and how MinIO delivers the full capabilities of the modern data lake. Listen to the full episode: https://hubs.li/Q02Gkkpt0

We’re just days away from the AI Hardware and Edge Summit in San Jose, taking place from September 10-12. MinIO engineers Daniel Valdivia and Dileeshvar Radhakrishnan will be speaking on two different panels, both taking place on September 12 from 1:55pm to 2:35pm. Daniel will be speaking on the panel titled “Lessons Learned From Putting AI into Production — Infrastructure & MLOps." Dil will be speaking on “Are Current Net Zero Commitments and Data Center Growth Compatible? Analysing Inference Techniques to Reduce Cost and Energy.” Looking forward to seeing you there along with Jonathan Symonds, Justin Hoffman and Sidharth Rajaram. #AI https://lnkd.in/dux6XNTr

One of our clients, a global financial institution in Japan, recently completed a major Hadoop replacement project using MinIO and Dremio. Faced with growing #data volumes and increasing query demands, the bank's legacy system struggled with outages and performance issues, ultimately hindering their ability to meet SLAs and regulatory requirements. To modernize, they adopted Dremio's high-performance SQL engine for #cloud data lakes and MinIO's enterprise-grade object storage to build a modern #datalakehouse that improved performance, reduced HW footprint, required FTEs and slashed costs. MinIO’s CMO Jonathan Symonds takes you through the lessons from their success story and creates a blueprint for other FSIs to follow.