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---

## NOTE
All GitHub issues are addressed on a best-effort basis at MinIO's sole discretion. There are no Service Level Agreements (SLA) or Objectives (SLO). Remember our [Code of Conduct](https://github.com/minio/minio/blob/master/code_of_conduct.md) when engaging with MinIO Engineers and the larger community.

    - '2.x Change Log': changelogs/changelog_2x.md
    - '1.x Change Log': changelogs/changelog_1x.md
  - 'Contributing':
    - 'Contributing': contribute/contributing.md
    - 'Code of Conduct': contribute/code_of_conduct.md
    - 'Concurrency': contribute/concurrency.md

        - Java 11
        - Java 17
        - Java 21

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            I agree to follow the
            [code of conduct](https://github.com/google/.github/blob/master/CODE_OF_CONDUCT.md).
          required: true
        - label: >
            I can reproduce the bug with the

    * Um arquivo armazenado na memória até um limite máximo de tamanho, e após passar esse limite, ele será armazenado no disco.
* Isso significa que funcionará bem para arquivos grandes como imagens, vídeos, binários grandes, etc., sem consumir toda a memória.
* Você pode receber metadados do arquivo enviado.
* Ele tem uma <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> interface `assíncrona`.

    validations:
      required: true

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            I agree to follow the
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          required: true
        - label: >
            I have read and understood the [contribution

## Utilización de Recursos { #resource-utilization }

Tu(s) servidor(es) es(son) un **recurso** que puedes consumir o **utilizar**, con tus programas, el tiempo de cómputo en las CPUs y la memoria RAM disponible.

¿Cuánto de los recursos del sistema quieres consumir/utilizar? Podría ser fácil pensar "no mucho", pero en realidad, probablemente querrás consumir **lo más posible sin colapsar**.

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)

* Esto significa que funcionará bien para archivos grandes como imágenes, videos, binarios grandes, etc. sin consumir toda la memoria.
* Puedes obtener metadatos del archivo subido.
* Tiene una interfaz `async` <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">parecida a un archivo</a>.

        - com.google.common.util.concurrent

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            I agree to follow the
            [code of conduct](https://github.com/google/.github/blob/master/CODE_OF_CONDUCT.md).
          required: true
        - label: >
            I have read and understood the [contribution

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