Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools
- Built for AI & Analytics – Optimized for large-scale data pipelines
- High Performance – Ideal for demanding storage workloads.

This README provides instructions for building MinIO from source and deploying onto baremetal hardware.

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

/// info | Info

Wenn Sie Kubernetes verwenden, wäre dies wahrscheinlich ein <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init-Container</a>.

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/// info | Информация

Если вы используете Kubernetes, это, вероятно, будет <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.

///

/// info | Información

Si estás usando Kubernetes, probablemente sería un <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Contenedor de Inicialización</a>.

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Sie können aber auch die Vorteile von Parallelität und Multiprocessing (mehrere Prozesse werden parallel ausgeführt) für **CPU-lastige** Workloads wie in Systemen für maschinelles Lernen nutzen.

/// info | Informação

Se você estiver usando o Kubernetes, provavelmente será um <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.

///

/// info

If you are using Kubernetes, this would probably be an <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.

///

alpha) for allocating dynamic resources to Pods.

  if and only if classic DRA was enabled in a cluster, remove all workloads (pods, app deployments, etc. ) which depend on classic DRA and make sure that all PodSchedulingContext resources are gone before upgrading. PodSchedulingContext resources cannot be removed through the apiserver after an upgrade and workloads would not work properly. ([#128003](https://github.com/kubernetes/kubernetes/pull/128003), [@pohly](https://github.com/pohly))...

 - [Action Required] CSI drivers that call IsLikelyNotMountPoint...