그리고 <a href="https://hub.docker.com/" class="external-link" target="_blank">도커 허브</a>에 다양한 도구, 환경, 데이터베이스, 그리고 어플리케이션에 대해 미리 만들어진 **공식 컨테이너 이미지**가 공개되어 있습니다.

예를 들어, 공식 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">파이썬 이미지</a>가 있습니다.

또한 다른 대상, 예를 들면 데이터베이스를 위한 이미지들도 있습니다:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>

## Образы контейнеров

Docker является одним оз основных инструментов для создания **образов** и  **контейнеров** и управления ими.

Существует общедоступный <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> с подготовленными **официальными образами** многих инструментов, окружений, баз данных и приложений.

conformance:v1.30.0](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le),...

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output

## コンテナ・イメージ

Dockerは、**コンテナ・イメージ**と**コンテナ**を作成・管理するための主要なツールの1つです。

そして、DockerにはDockerイメージ（コンテナ）を共有する<a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a>というものがあります。

Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。

例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。

docker-hotfix-push: docker-hotfix
	@docker push -q $(TAG) && echo "Published new container $(TAG)"

docker-hotfix: hotfix-push checks ## builds minio docker container with hotfix tags
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container

!!! tip
    Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.

    I'll tell you more about container images, Docker, Kubernetes, etc. in a future chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

## Previous Steps Before Starting

COPY --from=build /go/bin/mc /usr/bin/mc
COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

```

#### Builds the hotfix container and pushes to docker.io/minio/minio

```
λ CRED_DIR=/media/builder/minio make docker-hotfix-push
```

#### Builds the hotfix container and pushes to registry.min.dev/<customer>/minio

```
λ REPO="registry.min.dev/<customer>" CRED_DIR=/media/builder/minio make docker-hotfix-push
```

# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.