AI/ML

How does Exness handle massive data volumes and demanding AI/ML workloads? By moving to an on-prem infrastructure powered by MinIO. From scaling their data lake to managing traffic peaks of 200 Gbps, MinIO supports their AI workflows, disaster recovery, and more.

As AI workloads drive cloud costs through the roof, many companies are rethinking their approach. Moving select AI tasks back on-prem offers a path to predictable costs, improved performance, and stronger data control.

AIStor is a foundational component for creating and executing complex data workflows. At the core of this event-driven functionality is MinIO bucket notifications using Kafka.

In this blog, we will demonstrate how to use MinIO to build a Retrieval Augmented Generation(RAG) based chat application using commodity hardware.

Do you know the secret to some of the best AI models out there? It's the amount of data they had access to on which they could be trained on. For AI/ML models Fast accessible Data is King. Let me emphasize, it's not just Data, but fast accessible Data.

Dell ECS's “Data Movement”, also called copy-to-cloud is a feature introduced in ECS 3.8.0.1 that allows you to copy objects from Dell ECS to MinIO which is rather popular with customers and prospects who are modernizing their storage stack to support their AI data infrastructure requirements.

Whether you are on-prem or in the Cloud, you want to ensure in the cloud operating model processes are set up in a homogenous way. This tutorial will give you a full overview of how you can surface MinIO audit logs in ElasticSearch so they can be searchable.

In this tutorial, we'll deploy a cohesive system that allows distributed SQL querying across large datasets stored in Minio, with Trino leveraging metadata from Hive Metastore and table schemas from Redis.

Delve into AI’s next frontier with MinIO S3 Object-Store and SDK, enhancing a Weaviate Retreival Augmented Generation (RAG) Pipeline for robust data management. Discover how to elevate efficiency in AI systems using LangChain, unlocking new dimensions in scalable AI solutions.

Learn how to run Python stored procedures on SQL Server 2022.

Explore the future of AI in an open-source landscape, challenging Big Tech's masked efforts. Learn how embracing extreme open innovation fosters collaboration, drives market growth, and sets the stage for an open-source AI data stack.

Joust against data complexity with LanceDB, a lightning-fast vector database optimized for AI/ML on the open-source Lance format. Teaming up with MinIO, it scales seamlessly, offering high-performance, cloud-native storage. Dive into the tutorial for a swift deployment.