本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
# AWS 深度学习 AMI GPU PyTorch 2.6（亚马逊 Linux 2023）
**注意**
有关软件包的详细信息，请参阅下面链接的各个发布说明页面
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### AMI 名称格式
+ 深度学习 OSS NVIDIA 驱动程序 AMI GPU PyTorch 2.6。 \$1 \$1PATCH\$1VERSION\$1 (亚马逊 Linux 2023) \$1 \$1YYYY-MM-DD\$1
##### SSM 参数查询
**请使用以下公共 SSM 参数查询来查找最新的 DLAMI：**
```
export SSM_PARAMETER=oss-nvidia-driver-gpu-pytorch-2.6-amazon-linux-2023/latest/ami-id && \
aws ssm get-parameter --region us-east-1 \
--name /aws/service/deeplearning/ami/x86_64/$SSM_PARAMETER \
--query "Parameter.Value" \
--output text
```
##### AWSCLI 查询
**请使用以下 AWS 查询来查找最新的 DLAMI：**
```
aws ec2 describe-images --region us-east-1 --owners amazon --filters 'Name=name,Values=Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.6.? (Amazon Linux 2023) ????????' 'Name=state,Values=available' --query 'reverse(sort_by(Images, &CreationDate))[:1].ImageId' --output text
```
##### 最新发布
**Topics**
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260129](aws-deep-learning-ami-gpupt26oss-al2023-2026-02-03.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260122](aws-deep-learning-ami-gpupt26oss-al2023-2026-01-23.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260121](aws-deep-learning-ami-gpupt26oss-al2023-2026-01-21.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260117](aws-deep-learning-ami-gpupt26oss-al2023-2026-01-20.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260103](aws-deep-learning-ami-gpupt26oss-al2023-2026-01-08.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251227](aws-deep-learning-ami-gpupt26oss-al2023-2025-12-31.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251206](aws-deep-learning-ami-gpupt26oss-al2023-2025-12-10.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251115](aws-deep-learning-ami-gpupt26oss-al2023-2025-12-03.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251103](aws-deep-learning-ami-gpupt26oss-al2023-2025-11-10.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251007](aws-deep-learning-ami-gpupt26oss-al2023-2025-10-14.md)
+ [深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20250927](aws-deep-learning-ami-gpupt26oss-al2023-2025-09-30.md)
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260129
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.10.20260120 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.159-182.297.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.126.09 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.2 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3572.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
| |
| --- |
| kernel-livepatch-6.1.159-182.297-1.0-0.amzn2023 |
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| amazon-linux-repo-s3 | 2023.10.20260105-0.amzn2023 | 2023.10.20260120-0.amzn2023 |
| boto3 | 1.42.32 | 1.42.37 |
| botocore | 1.42.32 | 1.42.37 |
| cmake | 3.22.2-1.amzn2023.0.4 | 3.22.2-1.amzn2023.0.5 |
| cmake-data | 3.22.2-1.amzn2023.0.4 | 3.22.2-1.amzn2023.0.5 |
| cmake-filesystem | 3.22.2-1.amzn2023.0.4 | 3.22.2-1.amzn2023.0.5 |
| cmake-rpm-macros | 3.22.2-1.amzn2023.0.4 | 3.22.2-1.amzn2023.0.5 |
| containerd | 2.1.5-1.amzn2023.0.3 | 2.1.5-1.amzn2023.0.4 |
| cryptography | 46.0.3 | 46.0.4 |
| dnf-plugin-release-notification | 1.2-1.amzn2023.0.2 | 1.3-1.amzn2023.0.1 |
| docker | 7.1.0 | 25.0.14-1.amzn2023.0.1 |
| ec2-hibinit-agent | 1.0.10-0.amzn2023 | 1.0.10-1.amzn2023 |
| gnupg2 | 2.3.7-1.amzn2023.0.5 | 2.3.7-1.amzn2023.0.6 |
| gnupg2-smime | 2.3.7-1.amzn2023.0.5 | 2.3.7-1.amzn2023.0.6 |
| graphene | 3.4.3 | 1.10.6-9.amzn2023.0.1 |
| highway | 1.2.0-30.amzn2023.0.1 | 1.2.0-31.amzn2023.0.2 |
| jupyterlab | 4.5.2 | 4.5.3 |
| kernel | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-devel | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-headers | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-libbpf | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-livepatch-repo-s3 | 2023.10.20260105-0.amzn2023 | 2023.10.20260120-0.amzn2023 |
| kernel-modules-extra | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-modules-extra-common | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| kernel-tools | 6.1.159-181.297.amzn2023 | 6.1.159-182.297.amzn2023 |
| libnvidia-container-tools | 1.18.1-1 | 1.18.2-1 |
| libnvidia-container1 | 1.18.1-1 | 1.18.2-1 |
| libxml2 | 2.10.4-1.amzn2023.0.13 | 2.10.4-1.amzn2023.0.15 |
| libxml2-devel | 2.10.4-1.amzn2023.0.13 | 2.10.4-1.amzn2023.0.15 |
| marshmallow | 4.2.0 | 4.2.1 |
| nvidia-container-toolkit | 1.18.1-1 | 1.18.2-1 |
| nvidia-container-toolkit-base | 1.18.1-1 | 1.18.2-1 |
| openexr-libs | 3.1.5-1.amzn2023.0.5 | 3.1.5-1.amzn2023.0.6 |
| packaging | 24.2 | 26.0 |
| protobuf | 6.31.1 | 3.19.6-1.amzn2023.0.1 |
| psutil | 7.2.1 | 7.2.2 |
| python3-pip-wheel | 21.3.1-2.amzn2023.0.14 | 21.3.1-2.amzn2023.0.15 |
| rich | 14.2.0 | 14.3.1 |
| sagemaker-core | 1.0.74 | 1.0.75 |
| setuptools | 80.10.1 | 80.10.2 |
| system-release | 2023.10.20260105-0.amzn2023 | 2023.10.20260120-0.amzn2023 |
| tzdata | 2025.3 | 2025c-1.amzn2023.0.1 |
| wcwidth | 0.3.0 | 0.5.0 |
| wheel | 0.45.1 | 0.46.3 |
##### 删除的软件包
| 包名称 |
| --- |
| kernel-livepatch-6.1.159-181.297 |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260122
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.10.20260105 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.159-181.297.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.126.09 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3572.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| boto3 | 1.42.31 | 1.42.32 |
| botocore | 1.42.31 | 1.42.32 |
| importlib\$1metadata | 8.0.0 | 8.7.1 |
| jaraco.context | 5.3.0 | 6.1.0 |
| jaraco.functools | 4.0.1 | 4.4.0 |
| jaraco.text | 3.12.1 | 4.0.0 |
| jmespath | 1.0.1 | 1.1.0 |
| more-itertools | 10.3.0 | 10.8.0 |
| nvidia-fabricmanager | 580.105.08-1 | 580.126.09-1 |
| nvidia-ml-py | 13.590.44 | 13.590.48 |
| packaging | 24.2 | 25.0 |
| pandas | 2.3.3 | 3.0.0 |
| platformdirs | 4.2.2 | 4.5.1 |
| pycparser | 2.23 | 3.0 |
| pyparsing | 3.3.1 | 3.3.2 |
| sagemaker | 2.256.0 | 2.256.1 |
| setuptools | 80.9.0 | 80.10.1 |
| tomli | 2.0.1 | 2.4.0 |
| wcwidth | 0.2.14 | 0.3.0 |
| wheel | 0.45.1 | 0.46.3 |
##### 删除的软件包
| 包名称 |
| --- |
| inflect |
| jaraco.collections |
| typeguard |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260121
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.10.20260105 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.159-181.297.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.105.08 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3572.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| async-lru | 2.0.5 | 2.1.0 |
| boto3 | 1.42.30 | 1.42.31 |
| botocore | 1.42.30 | 1.42.31 |
| dill | 0.4.0 | 0.4.1 |
| multiprocess | 0.70.18 | 0.70.19 |
| pathos | 0.3.4 | 0.3.5 |
| platformdirs | 4.2.2 | 4.5.1 |
| pox | 0.3.6 | 0.3.7 |
| ppft | 1.7.7 | 1.7.8 |
| pyarrow | 22.0.0 | 23.0.0 |
| sagemaker-core | 1.0.73 | 1.0.74 |
| soupsieve | 2.8.1 | 2.8.3 |
| typing\$1extensions | 4.15.0 | 4.12.2 |
##### 删除的软件包
此版本中未删除任何软件包。
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260117
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.10.20260105 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.159-181.297.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.105.08 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3572.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| Send2Trash | 2.0.0 | 2.1.0 |
| boto3 | 1.42.25 | 1.42.30 |
| botocore | 1.42.25 | 1.42.30 |
| inspectorssmplugin | 1.0.432-1 | 1.0.434-1 |
| jupyter\$1server\$1terminals | 0.5.3 | 0.5.4 |
| jupyterlab | 4.5.1 | 4.5.2 |
| nvlsm | 2025.06.10-1 | 2025.06.11-1 |
| prometheus\$1client | 0.23.1 | 0.24.1 |
| regex | 2025.11.3 | 2026.1.15 |
| sagemaker-core | 1.0.72 | 1.0.73 |
| scipy | 1.16.3 | 1.17.0 |
| tomlkit | 0.13.3 | 0.14.0 |
| typing\$1extensions | 4.15.0 | 4.12.2 |
| zipp | 3.23.0 | 3.19.2 |
##### 删除的软件包
此版本中未删除任何软件包。
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20260103
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.9.20251208 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.158-180.294.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.105.08 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3050.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| Send2Trash | 1.8.3 | 2.0.0 |
| boto3 | 1.42.17 | 1.42.21 |
| botocore | 1.42.17 | 1.42.21 |
| filelock | 3.20.1 | 3.20.2 |
| inspectorssmplugin | 1.0.430-1 | 1.0.431-1 |
| json5 | 0.12.1 | 0.13.0 |
| pillow | 12.0.0 | 12.1.0 |
| platformdirs | 4.5.1 | 4.2.2 |
| psutil | 7.2.0 | 7.2.1 |
| ruamel.yaml | 0.18.17 | 0.19.1 |
| termcolor | 3.2.0 | 3.3.0 |
| zipp | 3.23.0 | 3.19.2 |
##### 删除的软件包
| 包名称 |
| --- |
| ruamel.yaml.clib |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251227
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.9.20251208 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.158-180.294.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.105.08 |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3050.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| boto3 | 1.42.9 | 1.42.17 |
| botocore | 1.42.9 | 1.42.17 |
| debugpy | 1.8.18 | 1.8.19 |
| fastapi | 0.124.4 | 0.128.0 |
| filelock | 3.20.0 | 3.20.1 |
| gymnasium | 1.2.2 | 1.2.3 |
| inspectorssmplugin | 1.0.428-1 | 1.0.430-1 |
| joblib | 1.5.2 | 1.5.3 |
| jupyterlab | 4.5.0 | 4.5.1 |
| marshmallow | 4.1.1 | 4.1.2 |
| mistune | 3.1.4 | 3.2.0 |
| narwhals | 2.13.0 | 2.14.0 |
| nbclient | 0.10.2 | 0.10.4 |
| platformdirs | 4.2.2 | 4.5.1 |
| psutil | 7.1.3 | 7.2.0 |
| pyparsing | 3.2.5 | 3.3.1 |
| ruamel.yaml | 0.18.16 | 0.18.17 |
| sagemaker-core | 1.0.71 | 1.0.72 |
| soupsieve | 2.8 | 2.8.1 |
| tornado | 6.5.3 | 6.5.4 |
| typer | 0.20.0 | 0.21.0 |
| uvicorn | 0.38.0 | 0.40.0 |
##### 删除的软件包
此版本中未删除任何软件包。
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251206
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.9.20251117 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.158-178.288.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.105.08 |
| default\$1cuda | /usr/local/cuda-12.6/ |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.1 |
| efa\$1version | 1.45.0 |
| ofi\$1nccl\$1version | 1.17.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3050.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| beautifulsoup4 | 4.14.2 | 4.14.3 |
| boto3 | 1.41.5 | 1.42.4 |
| botocore | 1.41.5 | 1.42.4 |
| docker | 7.1.0 | 25.0.13-1.amzn2023.0.2 |
| fastapi | 0.122.0 | 0.124.0 |
| fsspec | 2025.10.0 | 2025.12.0 |
| graphene | 3.4.3 | 1.10.6-9.amzn2023.0.1 |
| ipython | 9.7.0 | 9.8.0 |
| libnvidia-container-tools | 1.18.0-1 | 1.18.1-1 |
| libnvidia-container1 | 1.18.0-1 | 1.18.1-1 |
| marshmallow | 4.1.0 | 4.1.1 |
| narwhals | 2.12.0 | 2.13.0 |
| nvidia-container-toolkit | 1.18.0-1 | 1.18.1-1 |
| nvidia-container-toolkit-base | 1.18.0-1 | 1.18.1-1 |
| nvidia-fabricmanager | 580.95.05-1 | 580.105.08-1 |
| protobuf | 6.31.1 | 3.19.6-1.amzn2023.0.1 |
| rpds-py | 0.29.0 | 0.30.0 |
| s3fs | 2025.10.0 | 0.4.2 |
| s3transfer | 0.15.0 | 0.16.0 |
| sagemaker | 2.254.1 | 2.255.0 |
| sagemaker-core | 1.0.69 | 1.0.71 |
| tzdata | 2025.2 | 2025b-1.amzn2023.0.1 |
| urllib3 | 2.5.0 | 2.6.0 |
##### 删除的软件包
| 包名称 |
| --- |
| aiobotocore |
| aiohappyeyeballs |
| aiohttp |
| aioitertools |
| aiosignal |
| frozenlist |
| multidict |
| propcache |
| wrapt |
| yarl |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251115
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| | |
| --- |--- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.9.20251110 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.158-178.288.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 580.95.05 |
| default\$1cuda | /usr/local/cuda-12.6/ |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.18.0 |
| efa\$1version | 1.44.0 |
| ofi\$1nccl\$1version | 1.17.1 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.3050.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
| |
| --- |
| ImageIO-2.37.2 |
| kernel-livepatch-6.1.158-178.288-1.0-0.amzn2023 |
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| amazon-cloudwatch-agent | 1.300059.1-1.amzn2023 | 1.300060.1-1.amzn2023 |
| amazon-linux-repo-s3 | 2023.9.20251027-0.amzn2023 | 2023.9.20251110-0.amzn2023 |
| annotated-doc | 0.0.3 | 0.0.4 |
| asttokens | 3.0.0 | 3.0.1 |
| bind-libs | 9.18.33-1.amzn2023.0.3 | 9.18.33-1.amzn2023.0.4 |
| bind-license | 9.18.33-1.amzn2023.0.3 | 9.18.33-1.amzn2023.0.4 |
| bind-utils | 9.18.33-1.amzn2023.0.3 | 9.18.33-1.amzn2023.0.4 |
| bokeh | 3.8.0 | 3.8.1 |
| boto3 | 1.40.65 | 1.40.74 |
| botocore | 1.40.65 | 1.40.74 |
| certifi | 2025.10.5 | 2025.11.12 |
| containerd | 2.1.4-1.amzn2023.0.1 | 2.1.4-1.amzn2023.0.2 |
| dkms | 3.2.1-182.amzn2023 | 3.3.0-183.amzn2023 |
| dnf-plugin-support-info | 1.8-1.amzn2023 | 1.9-1.amzn2023 |
| docker | 25.0.13-1.amzn2023.0.1 | 25.0.13-1.amzn2023.0.2 |
| dwz | 0.14-6.amzn2023.0.2 | 0.16-2.amzn2023.0.1 |
| fastapi | 0.121.0 | 0.121.2 |
| gymnasium | 1.2.1 | 1.2.2 |
| ibacm | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| infiniband-diags | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| infiniband-diags-compat | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| inspectorssmplugin | 1.0.405-1 | 1.0.412-1 |
| ipython | 9.6.0 | 9.7.0 |
| kernel | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-devel | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-headers | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-libbpf | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-livepatch-repo-s3 | 2023.9.20251027-0.amzn2023 | 2023.9.20251110-0.amzn2023 |
| kernel-modules-extra | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-modules-extra-common | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| kernel-tools | 6.1.156-177.286.amzn2023 | 6.1.158-178.288.amzn2023 |
| libcap | 2.73-1.amzn2023.0.3 | 2.73-1.amzn2023.0.4 |
| libfabric-aws | 2.1.0amzn5.0-1.amzn2023 | 2.3.1amzn1.0-1.amzn2023 |
| libfabric-aws-devel | 2.1.0amzn5.0-1.amzn2023 | 2.3.1amzn1.0-1.amzn2023 |
| libibumad | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| libibverbs | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| libibverbs-utils | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| libnccl-ofi | 1.16.3-1.amzn2023 | 1.17.1-1.amzn2023 |
| librdmacm | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| librdmacm-utils | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| libssh | 0.10.6-1.amzn2023.0.2 | 0.10.6-1.amzn2023.0.3 |
| libssh-config | 0.10.6-1.amzn2023.0.2 | 0.10.6-1.amzn2023.0.3 |
| libssh-devel | 0.10.6-1.amzn2023.0.2 | 0.10.6-1.amzn2023.0.3 |
| lustre-client | 2.15.6-21.amzn2023 | 2.15.6-23.amzn2023 |
| lz4-libs | 1.9.4-1.amzn2023.0.2 | 1.9.4-1.amzn2023.0.3 |
| narwhals | 2.10.1 | 2.11.0 |
| nvlsm | 2025.06.6-1 | 2025.06.10-1 |
| openmpi50-aws | 5.0.6-11 | 5.0.8amzn1-11 |
| pam | 1.5.1-8.amzn2023.0.6 | 1.5.1-8.amzn2023.0.7 |
| prettytable | 3.16.0 | 3.17.0 |
| pydantic | 2.12.3 | 2.9.2 |
| pydantic\$1core | 2.41.4 | 2.23.4 |
| python3 | 3.9.24-1.amzn2023.0.3 | 3.9.24-1.amzn2023.0.4 |
| python3-libs | 3.9.24-1.amzn2023.0.3 | 3.9.24-1.amzn2023.0.4 |
| python3-pyverbs | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| rdma-core | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| rdma-core-devel | 58.amzn0-1.amzn2023 | 59.amzn0-1.amzn2023 |
| runc | 1.3.2-2.amzn2023.0.1 | 1.3.3-2.amzn2023.0.1 |
| safety-schemas | 0.0.16 | 0.0.14 |
| sagemaker-core | 1.0.62 | 1.0.66 |
| system-release | 2023.9.20251027-0.amzn2023 | 2023.9.20251110-0.amzn2023 |
| tblib | 3.2.1 | 3.2.2 |
| zipp | 3.23.0 | 3.19.2 |
##### 删除的软件包
| 包名称 |
| --- |
| imageio |
| kernel-livepatch-6.1.156-177.286 |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251103
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| 包名称 | 版本 |
| --- | --- |
| framework\$1version | 2.6.0 |
| gdr\$1copy | 2.4.4 |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| efa\$1version | 1.43.3 |
| ebs\$1volume\$1type | gp3 |
| nvidia\$1driver | 580.95.05 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| ssm\$1agent\$1version | 3.3.3050.0 |
| kernel\$1version | 6.1.156-177.286.amzn2023.x86\$164 |
| nvidia\$1container\$1toolkit\$1version | 1.18.0 |
| dcgm\$1version | /bin/bash: line 1: dcgmi: command not found |
| ofi\$1nccl\$1version | 1.16.3 |
| operating\$1system | Amazon Linux 2023.9.20251027 |
| default\$1cuda | /usr/local/cuda-12.6/ |
| compute\$1architecture | x86\$164 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
| |
| --- |
| apr-util-lmdb-1.6.3-1.amzn2023.0.2 |
| kernel-livepatch-6.1.156-177.286-1.0-0.amzn2023 |
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| amazon-linux-repo-s3 | 2023.9.20251020-0.amzn2023 | 2023.9.20251027-0.amzn2023 |
| apr-util | 1.6.3-1.amzn2023.0.1 | 1.6.3-1.amzn2023.0.2 |
| apr-util-openssl | 1.6.3-1.amzn2023.0.1 | 1.6.3-1.amzn2023.0.2 |
| audit | 3.1.5-1.amzn2023.0.1 | 3.1.5-1.amzn2023.0.2 |
| audit-libs | 3.1.5-1.amzn2023.0.1 | 3.1.5-1.amzn2023.0.2 |
| bleach | 6.2.0 | 6.3.0 |
| boost-filesystem | 1.75.0-4.amzn2023.0.3 | 1.75.0-4.amzn2023.0.4 |
| boost-system | 1.75.0-4.amzn2023.0.3 | 1.75.0-4.amzn2023.0.4 |
| boost-thread | 1.75.0-4.amzn2023.0.3 | 1.75.0-4.amzn2023.0.4 |
| boto3 | 1.40.59 | 1.40.65 |
| botocore | 1.40.59 | 1.40.65 |
| cloudpickle | 3.1.1 | 3.1.2 |
| fastapi | 0.120.0 | 0.121.0 |
| fsspec | 2025.9.0 | 2025.10.0 |
| go-srpm-macros | 3.2.0-37.amzn2023 | 3.8.0-1.amzn2023.0.1 |
| graphql-core | 3.2.6 | 3.2.7 |
| grub2-common | 2.06-61.amzn2023.0.19 | 2.06-61.amzn2023.0.20 |
| grub2-efi-x64-ec2 | 2.06-61.amzn2023.0.19 | 2.06-61.amzn2023.0.20 |
| grub2-pc-modules | 2.06-61.amzn2023.0.19 | 2.06-61.amzn2023.0.20 |
| grub2-tools | 2.06-61.amzn2023.0.19 | 2.06-61.amzn2023.0.20 |
| grub2-tools-minimal | 2.06-61.amzn2023.0.19 | 2.06-61.amzn2023.0.20 |
| inspectorssmplugin | 1.0.402-1 | 1.0.405-1 |
| ipywidgets | 8.1.7 | 8.1.8 |
| java-17-amazon-corretto-headless | 17.0.16\$18-1.amzn2023.1 | 17.0.17\$110-1.amzn2023.1 |
| jupyterlab\$1widgets | 3.0.15 | 3.0.16 |
| kernel | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-devel | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-headers | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-libbpf | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-livepatch-repo-s3 | 2023.9.20251020-0.amzn2023 | 2023.9.20251027-0.amzn2023 |
| kernel-modules-extra | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-modules-extra-common | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| kernel-tools | 6.1.155-176.282.amzn2023 | 6.1.156-177.286.amzn2023 |
| lark | 1.3.0 | 1.3.1 |
| libdnf | 0.69.0-8.amzn2023.0.5 | 0.69.0-8.amzn2023.0.6 |
| librepo | 1.14.5-2.amzn2023.0.1 | 1.14.5-2.amzn2023.0.2 |
| libsoup3 | 3.6.5-50.amzn2023 | 3.6.5-52.amzn2023 |
| libsss\$1certmap | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| libsss\$1idmap | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| libsss\$1nss\$1idmap | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| libsss\$1sudo | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| libxslt | 1.1.43-1.amzn2023.0.2 | 1.1.43-1.amzn2023.0.3 |
| libxslt-devel | 1.1.43-1.amzn2023.0.2 | 1.1.43-1.amzn2023.0.3 |
| marshmallow | 4.0.1 | 4.1.0 |
| narwhals | 2.9.0 | 2.10.1 |
| perl-Math-BigInt-FastCalc | 0.500.900-458.amzn2023.0.2 | 0.501.400-3.amzn2023.0.1 |
| psutil | 7.1.2 | 7.1.3 |
| python3 | 3.9.23-1.amzn2023.0.3 | 3.9.24-1.amzn2023.0.3 |
| python3-audit | 3.1.5-1.amzn2023.0.1 | 3.1.5-1.amzn2023.0.2 |
| python3-hawkey | 0.69.0-8.amzn2023.0.5 | 0.69.0-8.amzn2023.0.6 |
| python3-libdnf | 0.69.0-8.amzn2023.0.5 | 0.69.0-8.amzn2023.0.6 |
| python3-libs | 3.9.23-1.amzn2023.0.3 | 3.9.24-1.amzn2023.0.3 |
| regex | 2025.10.23 | 2025.11.3 |
| runc | 1.3.1-1.amzn2023.0.1 | 1.3.2-2.amzn2023.0.1 |
| sagemaker | 2.253.1 | 2.254.1 |
| sagemaker-core | 1.0.59 | 1.0.62 |
| scipy | 1.16.2 | 1.16.3 |
| sssd-client | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| sssd-common | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| sssd-kcm | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| sssd-nfs-idmap | 2.9.4-1.amzn2023.0.2 | 2.9.4-1.amzn2023.0.3 |
| starlette | 0.48.0 | 0.49.3 |
| system-release | 2023.9.20251020-0.amzn2023 | 2023.9.20251027-0.amzn2023 |
| tblib | 3.2.0 | 3.2.1 |
| webcolors | 24.11.1 | 25.10.0 |
| widgetsnbextension | 4.0.14 | 4.0.15 |
| xyzservices | 2025.4.0 | 2025.10.0 |
##### 删除的软件包
| 包名称 |
| --- |
| kernel-livepatch-6.1.155-176.282 |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20251007
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 通知
+ 本版本包含针对 [NVIDIA 10 月版安全公告](https://nvidia.custhelp.com/app/answers/detail/a_id/5703)中披露的受影响 NVIDIA Driver 包的 CVE 补丁。
##### 主要软件包版本
| 包名称 | 版本 |
| --- | --- |
| framework\$1version | 2.6.0 |
| gdr\$1copy | 2.4.4 |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| efa\$1version | 1.43.3 |
| ebs\$1volume\$1type | gp3 |
| nvidia\$1driver | 580.95.05 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| ssm\$1agent\$1version | 3.3.3050.0 |
| kernel\$1version | 6.1.153-175.280.amzn2023.x86\$164 |
| nvidia\$1container\$1toolkit\$1version | 1.17.8 |
| ofi\$1nccl\$1version | 1.16.3 |
| operating\$1system | Amazon Linux 2023.9.20250929 |
| default\$1cuda | /usr/local/cuda-12.6/ |
| compute\$1architecture | x86\$164 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们不断将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
| |
| --- |
| kernel-livepatch-6.1.153-175.280-1.0-0.amzn2023 |
| nvidia-fabricmanager-580.95.05-1 |
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| Authlib | 1.6.4 | 1.6.5 |
| amazon-linux-repo-s3 | 2023.8.20250915-0.amzn2023 | 2023.9.20250929-0.amzn2023 |
| amazon-rpm-config | 228-9.amzn2023.0.1 | 228-10.amzn2023.0.1 |
| amazon-ssm-agent | 3.3.2299.0-1.amzn2023 | 3.3.3050.0-1.amzn2023 |
| attrs | 25.3.0 | 25.4.0 |
| beautifulsoup4 | 4.14.0 | 4.14.2 |
| binutils | 2.41-50.amzn2023.0.3 | 2.41-50.amzn2023.0.4 |
| boto3 | 1.40.40 | 1.40.46 |
| botocore | 1.40.40 | 1.40.46 |
| certifi | 2025.8.3 | 2025.10.5 |
| container-selinux | 2.233.0-1.amzn2023 | 2.242.0-1.amzn2023 |
| coreutils | 8.32-30.amzn2023.0.3 | 8.32-30.amzn2023.0.4 |
| coreutils-common | 8.32-30.amzn2023.0.3 | 8.32-30.amzn2023.0.4 |
| cpp14 | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| cryptography | 46.0.1 | 46.0.2 |
| cups-filesystem | 2.4.11-8.amzn2023.0.1 | 2.4.14-1.amzn2023.0.1 |
| cups-libs | 2.4.11-8.amzn2023.0.1 | 2.4.14-1.amzn2023.0.1 |
| dnf-plugin-support-info | 1.7-1.amzn2023 | 1.8-1.amzn2023 |
| efa | 2.17.2-1.amzn2023 | 2.17.3-1.amzn2023 |
| expat | 2.6.3-1.amzn2023.0.2 | 2.6.3-1.amzn2023.0.3 |
| fastapi | 0.117.1 | 0.118.0 |
| fonttools | 4.60.0 | 4.60.1 |
| gcc14 | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| inspectorssmplugin | 1.0.398-1 | 1.0.399-1 |
| ipython | 9.5.0 | 9.6.0 |
| kernel | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-devel | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-headers | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-libbpf | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-livepatch-repo-s3 | 2023.8.20250915-0.amzn2023 | 2023.9.20250929-0.amzn2023 |
| kernel-modules-extra | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-modules-extra-common | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| kernel-tools | 6.1.150-174.273.amzn2023 | 6.1.153-175.280.amzn2023 |
| libatomic | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libgcc | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libgccjit | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libgfortran | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libgomp | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libnccl-ofi | 1.16.2-1.amzn2023 | 1.16.3-1.amzn2023 |
| libquadmath | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| libstdc\$1\$1 | 14.2.1-7.amzn2023.0.1 | 14.2.1-7.amzn2023.0.2 |
| llvmlite | 0.45.0 | 0.45.1 |
| microcode\$1ctl | 2.1-53.amzn2023.0.13 | 2.1-53.amzn2023.0.14 |
| narwhals | 2.5.0 | 2.7.0 |
| nltk | 3.9.1 | 3.9.2 |
| numba | 0.62.0 | 0.62.1 |
| nvlsm | 2025.06.5-1 | 2025.06.6-1 |
| openjpeg2 | 2.4.0-11.amzn2023.0.6 | 2.5.2-5.amzn2023.0.1 |
| pandas | 2.3.2 | 2.3.3 |
| pydantic | 2.11.9 | 2.12.0 |
| pydantic\$1core | 2.33.2 | 2.41.1 |
| python-json-logger | 3.3.0 | 4.0.0 |
| python3-awscrt | 0.26.1-1.amzn2023.0.1 | 0.27.6-1.amzn2023.0.1 |
| rust-toolset-srpm-macros | 1.89.0-1.amzn2023.0.3 | 1.90.0-1.amzn2023.0.1 |
| sagemaker | 2.251.1 | 2.252.0 |
| selinux-policy | 38.1.50-1.amzn2023.0.2 | 38.1.65-1.amzn2023.0.1 |
| selinux-policy-targeted | 38.1.50-1.amzn2023.0.2 | 38.1.65-1.amzn2023.0.1 |
| system-release | 2023.8.20250915-0.amzn2023 | 2023.9.20250929-0.amzn2023 |
| typing-inspection | 0.4.1 | 0.4.2 |
| zipp | 3.19.2 | 3.23.0 |
##### 删除的软件包
| 包名称 |
| --- |
| kernel-livepatch-6.1.150-174.273 |
| nvidia-fabric-manager |
# 深度学习 OSS Nvidia Driver AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20250927
有关入门帮助，请参阅 [DLAMI 入门](getting-started.md)。
##### 主要软件包版本
| 包名称 | 版本 |
| --- | --- |
| supported\$1ec2\$1instances | G4dn, G5, G6, Gr6, G6e, P4, P4de, P5, P5e, P5en |
| operating\$1system | Amazon Linux 2023.8.20250915 |
| compute\$1architecture | x86\$164 |
| kernel\$1version | 6.1.150-174.273.amzn2023.x86\$164 |
| framework\$1version | 2.6.0 |
| python\$1location | /opt/pytorch/bin/python |
| nvidia\$1driver | 570.172.08 |
| default\$1cuda | /usr/local/cuda-12.6/ |
| nvidia\$1cuda\$1stack | /usr/local/cuda-12.6 |
| gdr\$1copy | 2.4.4 |
| nvidia\$1container\$1toolkit\$1version | 1.17.8 |
| efa\$1version | 1.43.1 |
| ofi\$1nccl\$1version | 1.16.2 |
| ebs\$1volume\$1type | gp3 |
| ssm\$1agent\$1version | 3.3.2299.0 |
##### 自上次发布后的软件包变更
**注意**
按照最佳实践对所有 DLAMI 进行漏洞 AWS 扫描。尽管我们持续在每次发布中将软件包升级到最新版本，但为了保持兼容性，某些依赖项可能需要特定的软件包降级。这些调整不会影响我们的安全状况。有关 AWS 安全措施的全面信息，请参阅我们的[AWS 安全文档](https://docs.aws.amazon.com/dlami/latest/devguide/security.html)
##### 添加的软件包
此版本中未添加任何软件包。
##### 更新的软件包
| 包名称 | 先前版本 | 新版本 |
| --- | --- | --- |
| MarkupSafe | 3.0.2 | 3.0.3 |
| PyYAML | 6.0.2 | 6.0.3 |
| anyio | 4.10.0 | 4.11.0 |
| beautifulsoup4 | 4.13.5 | 4.14.0 |
| boto3 | 1.40.35 | 1.40.40 |
| botocore | 1.40.35 | 1.40.40 |
| fastapi | 0.116.2 | 0.117.1 |
| gymnasium | 1.2.0 | 1.2.1 |
| inspectorssmplugin | 1.0.396-1 | 1.0.398-1 |
| jupyterlab | 4.4.7 | 4.4.9 |
| lark | 1.2.2 | 1.3.0 |
| platformdirs | 4.2.2 | 4.4.0 |
| pydantic | 2.9.2 | 2.11.9 |
| pydantic\$1core | 2.23.4 | 2.33.2 |
| pyparsing | 3.2.4 | 3.2.5 |
| ruamel.yaml.clib | 0.2.12 | 0.2.14 |
| safety-schemas | 0.0.14 | 0.0.16 |
| typer | 0.19.1 | 0.19.2 |
| uvicorn | 0.36.0 | 0.37.0 |
| wcwidth | 0.2.13 | 0.2.14 |
| zipp | 3.19.2 | 3.23.0 |
##### 删除的软件包
此版本中未删除任何软件包。
##### 档案
**Topics**
+ [发布说明存档](archive-detail-x86-gpu-pytorch-2.6-amazon-linux-2023.md)
# 发布说明存档
##### 发布日期：2025-02-21
**AMI 名称**：深度学习 OSS Nvidia 驱动程序 AMI GPU PyTorch 2.6.0（亚马逊 Linux 2023）20250220
##### 新增了
+ 适用于亚马逊 Linux 2023 的深度学习 OSS Nvidia 驱动程序 AMI GPU PyTorch 2.6 的首次发布
+ 自 PyTorch 2.6 版本起，Pytorch 已弃用对 Conda 的支持。因此，PyTorch 2.6 及更高版本将转向使用 Python 虚拟环境。要激活 pytorch venv，请使用源代码/ opt/pytorch/bin/activate