在 Ampere，我们构建了一个广泛的基础设施，专门用于持续集成、交付和回归（称为 CIDR）。

[更多关于CIDR](drawer:/cidr-overview)

[CIDR 演示](https://uawartifacts.blob.core.windows.net/upload-files/Ampere_CIDR_fc459cb2f4.mp4)

我们的测试在用于进行持续测试的基础设施上全年不间断运行

[基本功能测试](drawer:/basic-functional-tests)

结果分为：已验证或者未验证

[了解更多](drawer:/cidr-verified-unverified)

测试和构建其基础设施可能会遇到复杂性问题或意外情况。不过对于已知问题及其解决方案如果广泛适用，那么将会记录在案。

[DockerHub引入镜像拉取限制(2020.11)](drawer:/dockerhub-image-pull-limits)

验证测试结果的日期、平台和操作系统详细信息会显示在悬浮信息泡中。

如有反馈，请将内容通过以下邮件发给我们

[developer@amperecomputing.com](mailto:developer@amperecomputing.com)

Basic Functional Tests

While performance testing is a core part of our DNA, the Basic Functional Test is the first thing we look at. This functional test will brings up a system, install the complete software package, and measure a collection of Hello World type tests.

Each test is hand written to the specific piece of software under test and ensures that everything installs and runs as expected. 

The Basic Functional Test is not complex, but it is essential.

TEST DOCUMENTATION

CIDR Overview

Here at Ampere we believe in full automation and continuous best practices for all of our development activities. To meet our goals of a fully automated software environment we built a system called CIDR: Continuous Integration, Delivery, and Regression. 

CIDR is a framework composed of industry-best tools sitting on top of a robust database and analysis layer. This is all built using Python, Django, Postgres, serverless cloud environments, and more. We use CIDR to ensure that all of our systems and software meet the rigorous quality needs of the modern data center. 

Our CIDR data analysis tools are purpose-built to handle both functional and performance tests, giving us a complete picture of how our software performs on real hardware.

Results and data that you see in the CI/CD section of this portal are all collected using the CIDR infrastructure with Ampere bare-metal at its core. 

Find more details in our [All About CIDR](https://solutions.amperecomputing.com/posts/all-about-cidr) article.

CONTINUOUS INTEGRATION, DELIVERY, REGRESSION

Verified vs. Unverified

Results are categorized as either 'Verified' or 'Unverified'. Verified: Everything ran according to plan and results came back positive Unverified: We couldn't collect a result due to an issue within the test infrastructure. When we root-cause an Unverified result the write-up will appear in the Test Notes section of this page. An unverified test result does not imply an issue with the software under test - it means only that Ampere was unable to confirm one or more steps in our verification process.

Ampere Computing Solutions

DockerHub Image Pull Limits

On November 22nd, 2020 we noticed random failures across our DockerHub infrastructure. This was caused by a failure to authenticate with DockerHub following the rollout of rate limiting ([see here](https://docs.docker.com/docker-hub/download-rate-limit/)).

This presented with an error message similar to the following:

> *You have reached your pull rate limit. You may increase the limit by authenticating and upgrading...*

We rolled out a fix to authenticate with our DockerHub organization. 

This affected results collected between November 20th, 2020 and November 25th, 2020.

ROOT CAUSE ANALYSIS

Ampere Altra 和 Ampere Altra Max。这些系统平台足够灵活，可以满足任何云部署的需求，可以搭载 Ampere 的 80 核 Altra 或 128 核 Altra Max 处理器

Ampere Altra 系统

Ampere Altra 

微软提供全面的 Azure 虚拟机产品线，可以运行各种广泛的 Linux 工作负载，例如 Web 服务器、开源数据库、内存应用程序、大数据分析、游戏、媒体等。

微软 Azure

Azure 

Equinix 裸金属服务器是一个按需数字服务基础设施平台，它使用 Ampere Altra 为常见的工作负载创建了Gen3 配置，这些工作负载在几分钟即可在裸金属服务器上使用

Equinix 裸金属服务器

Equinix 

Ampere Altra和甲骨文云将可预测的性能、线性扩展和更安全的架构与市场上最好的性价比相结合，可以提供以下产品：
- 配置灵活的虚拟机
- 裸金属服务器

OCI Ampere A1

甲骨文

腾讯云新的 SR1 实例现已公开可用 - 提供可扩展的 VM 实例（最多 70 个内核），允许客户将实例与他们的工作负载需求进行完美匹配

腾讯云

无论您的企业是处于起步阶段还是数字化转型的路上，Google Cloud 都可以帮助您解决最棘手的算力挑战。

谷歌云

您好，本网站使用必要的 cookie 来确保其正常运行，使用分析 cookie 来改进其功能，并使用跟踪 cookie 来了解您如何与之互动。 非必要 cookie 仅在获得同意后才会设置。

名字*

这些 cookie 使我们和我们的第三方服务提供商能够识别和统计访问者的数量，并查看访问者在使用我们的网站时如何在我们的网站上移动。 这有助于我们改进网站的运作方式，例如，确保用户可以在我们的网站上轻松找到他们需要的内容。 这些 cookie 生成与个性化配置文件无关的汇总统计信息。

性能和分析 cookie

我们的网站需要使用这些 cookie 才能正常运行或提供与您请求的服务相关的必要功能。 例如，它们包括使我们能够跟踪您的偏好并允许第三方嵌入功能的 cookie。

必须的cookies

Ampere Altra Family

AmpereOne Family

Azure

Equinix

Google

OCI Ampere A1 计算实例

AmpereOne™ 拥有多达 192 个内核，是用于可持续计算的下一代云原生处理器。

AmpereOne™ 产品简介

处理器

合作伙伴

平台比较

产品安全

购买

试用

产品

我们创建了一种新型的无需 GPU 的AI推理方案，可为许多AI模型提供最佳性价比。

Ampere AI 解决方案

解决方案中心

Ampere Ready 软件

人工智能

ARM 原生应用程序

数据分析

媒体服务

贮存

Web 服务

解决方案

查看运行 Ampere Altra 和 AmpereOne 产品的所有流行应用程序、图像、语言和数据库。

开发者中心

设计

构建

部署

使用开源

社区论坛

使用AI

开发者

了解 Ampere® Altra® 处理器如何为 Momento 的无服务器缓存提供支持

案例分析

活动

网络研讨会

用户案例

博客

Ampere Bilibili

简介

教程

调优指南

资源

Ampere 在《Fast Company》2023 年 100 家最佳创新工作场所榜单中排名第四

创新者的最佳工作场所

关于我们

领导团队

新闻中心

工作机会

实习

申请

联系我们

联系销售人员

公司

Overwhelming Cloud Native Processor Leadership with Ampere® Altra® Max

Overview

x264 is a free software library and application for encoding video streams into the H.264/MPEG-4 AVC compression format, and is released under the terms of the GNU GPL. x.264 Features include: Provides best-in-class performance, compression, and features. Achieves dramatic performance, encoding 4 or more 1080p streams in realtime on a single consumer-level computer Gives the best quality, having the most advanced psychovisual optimizations Support features necessary for many different applications, such as television broadcast, Blu-ray low-latency video applications, and web video. x264 forms the core of many web video services, such as Youtube, Facebook, Vimeo, and Hulu. It is widely used by television broadcasters and ISPs

Libx264

A1 Oracle Exclusive

Libx264 

Information & official documentation on [Official Docker Hub Images](https://docs.docker.com/docker-hub/official_images/). Information on [Libx264 Native Application](https://www.videolan.org/developers/x264.html) on Bare Metal

Visit the Official Page

x264 VideoLan Developers Page

Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. Ampere's CIDR regression infrastructure uses images taken from a variety of sources. In this case, X264 tracks the open source project found [here](https://www.videolan.org/developers/x264.html). 
The regression runs on bare metal rather than in a container.  Results are found below in the Test Results section of this page.

Overview

Libx264

细节

资源和测试结果