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Results 1 - 4 of 4 for performance (0.22 sec)

  1. helm/minio/Chart.yaml

    apiVersion: v1
    description: High Performance Object Storage
    name: minio
    version: 5.2.0
    appVersion: RELEASE.2024-04-18T19-09-19Z
    keywords:
      - minio
      - storage
      - object-storage
      - s3
      - cluster
    home: https://min.io
    icon: https://min.io/resources/img/logo/MINIO_wordmark.png
    sources:
    - https://github.com/minio/minio
    maintainers:
    - name: MinIO, Inc
    Others
    - Registered: Sun Apr 28 19:28:10 GMT 2024
    - Last Modified: Sun Apr 28 10:14:37 GMT 2024
    - 374 bytes
    - Viewed (0)
  2. index.yaml

    apiVersion: v1
    entries:
      minio:
      - apiVersion: v1
        appVersion: RELEASE.2024-04-18T19-09-19Z
        created: "2024-04-28T03:14:12.227568814-07:00"
        description: High Performance Object Storage
        digest: 8ef4212d7d51be6c8192b3e91138a9ca918ca56142c42500028cfd3b80e0b2dd
        home: https://min.io
        icon: https://min.io/resources/img/logo/MINIO_wordmark.png
        keywords:
        - minio
        - storage
        - object-storage
        - s3
    Others
    - Registered: Sun Apr 28 19:28:10 GMT 2024
    - Last Modified: Sun Apr 28 10:14:37 GMT 2024
    - 53.9K bytes
    - Viewed (0)
  3. helm-releases/minio-5.2.0.tgz

    svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object 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. | IMPORTANT | | ---------- | | This Helm chart is community built, maintained, and...
    Others
    - Registered: Sun Apr 28 19:28:10 GMT 2024
    - Last Modified: Sun Apr 28 10:14:37 GMT 2024
    - 21.7K bytes
    - Viewed (0)
  4. docs/en/docs/release-notes.md

    * **Safer** types.
    * Better **performance** and **less energy** consumption.
    * Better **extensibility**.
    * etc.
    
    ...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀
    
    In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯
    
    Plain Text
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Sun Apr 28 00:28:00 GMT 2024
    - 385.5K bytes
    - Viewed (1)
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