Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction ---------- This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package manager. Prerequisites ---------- - Helm cli with...

Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction ---------- This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package manager. Prerequisites ---------- - Helm cli with...

Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction ---------- This chart bootstraps MinIO Cluster on [Kubernetes](http://kubernetes.io) using the [Helm](https://helm.sh) package manager. Prerequisites ---------- - Helm cli with...

* Assume volume is detached if node doesn't exist ([#29485](https://github.com/kubernetes/kubernetes/pull/29485), [@saad-ali](https://github.com/saad-ali))
* Make PD E2E Tests Wait for Detach to Prevent Kernel Errors ([#29031](https://github.com/kubernetes/kubernetes/pull/29031), [@saad-ali](https://github.com/saad-ali))

    which is a NumPy-compatible API for writing TF programs. See the
    [detailed guide](https://www.tensorflow.org/guide/tf_numpy) to learn more.
    Additional details below.

*   Adds Support for
    [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/)
    on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for

    - [Node](#node)
    - [Release](#release)
    - [Scheduling](#scheduling-1)
    - [Storage](#storage-1)
    - [Windows](#windows-1)
    - [Dependencies](#dependencies-13)
    - [Detailed go Dependency Changes](#detailed-go-dependency-changes)
      - [Added](#added-13)
      - [Changed](#changed-13)
      - [Removed](#removed-13)
- [v1.17.0-rc.2](#v1170-rc2)
  - [Downloads for v1.17.0-rc.2](#downloads-for-v1170-rc2)

    - [Removed metrics](#removed-metrics)
    - [Deprecated metrics](#deprecated-metrics)
  - [Notable Features](#notable-features)
  - [API Changes](#api-changes)
  - [Detailed Bug Fixes And Changes](#detailed-bug-fixes-and-changes)
    - [API Machinery](#api-machinery)
    - [Apps](#apps)
    - [Auth](#auth)
    - [AWS](#aws)
    - [Azure](#azure)
    - [CLI](#cli)
    - [Cloud Provider](#cloud-provider)

    - [Testing](#testing)
      - [Windows](#windows)
    - [Dependencies](#dependencies-7)
      - [Changed](#changed-7)
      - [Unchanged](#unchanged)
      - [Removed](#removed-7)
      - [Detailed go Dependency Changes](#detailed-go-dependency-changes)
        - [Added](#added-7)
        - [Changed](#changed-8)
        - [Removed](#removed-8)
- [v1.16.0-rc.2](#v1160-rc2)
  - [Downloads for v1.16.0-rc.2](#downloads-for-v1160-rc2)

- kubelet now defaults to `--cloud-provider=auto-detect`, use `--cloud-provider=''` to preserve previous default of no cloud provider (#28258, @vishh)

## Previous Releases Included in v1.4.0

For a detailed list of all changes that were included in this release, please refer to the following CHANGELOG entries:

- [v1.4.0-beta.10](CHANGELOG.md#v140-beta10)
- [v1.4.0-beta.8](CHANGELOG.md#v140-beta8)

          <type>String</type>
        </field>
        <field>
          <name>description</name>
          <version>3.0.0+</version>
          <description>A detailed description of the project, used by Maven whenever it needs to
            describe the project, such as on the website. While this element can be specified as