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MinIO Blog

Object Management for AI/ML

Object Management for AI/ML

Introduction In a few previous posts on AI/ML, I mentioned that one of the benefits of MinIO is that you have tools for Versioning, Lifecycle Management, Object Locking, Object Retention and Legal Holds. These capabilities have a variety of uses. You may need a simple way to keep track of training experiments. You could also use these features to

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Putting a Filesystem on Top of an Object Store is a Bad Idea. Here is why.

Putting a Filesystem on Top of an Object Store is a Bad Idea. Here is why.

When purchasing storage, the emphasis is usually on media, but it may be even more important to consider access methods too. You will need to take storage protocols into account when designing and procuring infrastructure, especially when you leave legacy storage behind in order to migrate to cloud-native object storage. However, object storage relies on the S3 API for communications,

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YouTube Summaries: Kubernetes and the MinIO Operator

YouTube Summaries: Kubernetes and the MinIO Operator

Our latest YouTube training series is all about the MinIO Operator, which brings native support for deploying and managing MinIO deployments (“MinIO Tenants”) on a Kubernetes cluster. MinIO’s Mike Johnson (aka MJ) brings us through the 10-part video series to set the foundation of understanding Kubernetes before focusing on installing and configuring the MinIO Operator for Kubernetes, which will

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The Architect’s Guide to Storage for AI

The Architect’s Guide to Storage for AI

This post first appeared in The New Stack. Developers gravitate to technologies that are software defined, open source, cloud native and simple. That essentially defines object storage. Introduction Choosing the best storage for all phases of a machine learning (ML) project is critical. Research engineers need to create multiple versions of datasets and experiment with different model architectures. When a

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Using InfluxDB with MinIO

AJ AJ on DevOps |
Using InfluxDB with MinIO

InfluxDB is built on the same ethos as MinIO. It is a single Go binary, cloud agnostic, lightweight, but is also feature packed with things like replication and encryption, and it provides integrations with various applications.

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