AWS Blogs 07月01日
AWS Weekly Roundup: Project Rainier, Amazon CloudWatch investigations, AWS MCP servers, and more (June 30, 2025)
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本文介绍了AWS的Rainier项目,该项目旨在构建世界上最强大的AI模型训练计算机。Rainier项目利用AWS定制的Trainium2芯片和EC2 UltraServer/UltraCluster架构,以实现超高速通信和数据共享。文章还概述了AWS近期发布的一些新功能,如Amazon S3访问FSx for OpenZFS、Apache Iceberg表的优化、CloudWatch调查功能、Bedrock Guardrails标准层等。此外,文章还提到了AWS re:Invent等即将举行的活动。

⛰️ Project Rainier是AWS的一项新项目,旨在构建世界上最强大的AI模型训练计算机,计划部署在美国的多个数据中心。

🧠 Rainier项目将用于开发Anthropic的Claude模型的高级版本,其计算能力将是目前最大训练集群的五倍。

⚡️ 该项目采用AWS定制的Trainium2芯片,这种芯片专为训练复杂AI模型所需的大量数据处理而设计。

💻 Trainium2芯片将连接到一种新型的Amazon EC2 UltraServer和EC2 UltraCluster架构中,从而实现超高速通信和数据共享。

🚀 AWS通过垂直整合Rainier项目,从芯片到软件设计了技术的各个组件,以优化整个系统的效率和可靠性。

<section class="blog-post-content lb-rtxt"><table id="amazon-polly-audio-table"><tbody><tr><td id="amazon-polly-audio-tab"><p></p></td></tr></tbody></table><p>Every time I visit Seattle, the first thing that greets me at the airport is <a href="https://en.wikipedia.org/wiki/Mount_Rainier&quot;&gt;Mount Rainier</a>. Did you know that the most innovative project at Amazon Web Services (AWS) is named after this mountain?</p><p><img class="aligncenter size-full wp-image-97605" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/06/30/mt-rainer.jpg&quot; alt="" width="1087" height="560" /></p><p>Project Rainier is a new project to create what is expected to be the world’s most powerful computer for training AI models across multiple data centers in the United Stages. Anthropic will develop the advanced versions of its <a href="https://aws.amazon.com/bedrock/anthropic/?ams%23interactive-card-vertical%23pattern-data.filter=%257B%2522filters%2522%253A%255B%255D%257D&quot;&gt;Claude models</a> with five times more computing power than its current largest training cluster.</p><p>The key technology powering Project Rainier is <a href="https://aws.amazon.com/ai/machine-learning/trainium/&quot;&gt;AWS custom-designed Trainium2 chips</a>, which are specialized for the immense data processing required to train complex AI models. Thousands of these Trainium2 chips will be connected in a new type of <a href="https://aws.amazon.com/ec2/ultraservers/&quot;&gt;Amazon EC2 UltraServer</a> and <a href="https://aws.amazon.com/ec2/ultraclusters/&quot;&gt;EC2 UltraCluster</a> architecture that allows ultra-fast communication and data sharing across the massive system.</p><p>Learn about the <a href="https://www.aboutamazon.com/news/aws/aws-project-rainier-ai-trainium-chips-compute-cluster&quot;&gt;AWS vertical integration of Project Rainer</a>, where it designs every component of the technology stack from chips to software, allows it to optimize the entire system for maximum efficiency and reliability.</p><p><strong>Last week’s launches</strong><br />Here are some launches that got my attention:</p><ul><li><a href="https://aws.amazon.com/blogs/aws/amazon-fsx-for-openzfs-now-supports-amazon-s3-access-without-any-data-movement/&quot;&gt;Amazon S3 access for Amazon FSx for OpenZFS</a> – You can access and analyze your FSx for OpenZFS file data through Amazon S3 Access Points, enabling seamless integration with AWS AI/ML, and analytics services without moving your data out of the file system. You can treat your FSx for OpenZFS data as if it were stored in S3, making it accessible through the S3 API for various applications including Amazon Bedrock, Amazon SageMaker, AWS Glue, and other S3 based cloud-native applications.</li><li><a href="https://aws.amazon.com/blogs/aws/new-improve-apache-iceberg-query-performance-in-amazon-s3-with-sort-and-z-order-compaction/&quot;&gt;Amazon S3 with sort and z-order compaction for Apache Iceberg tables</a> – You can optimize query performance and reduce costs with new sort and z-order compaction. With S3 Tables, sort compaction automatically organizes data files based on defined column orders, while z-order compaction can be enabled through the maintenance API for efficient multicolumn queries.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/06/ga-accelerate-troubleshooting-amazon-cloudwatch-investigations/&quot;&gt;Amazon CloudWatch investigations</a> – You can accelerate your operational troubleshooting in AWS environments using the Amazon CloudWatch AI-powered investigation feature, which helps identify anomalies, surface related signals, and suggest remediation steps. This capability can be initiated through CloudWatch data widgets, multiple AWS consoles, CloudWatch alarm actions, or Amazon Q chat and enables team collaboration and integration with Slack and Microsoft Teams.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/06/amazon-bedrock-guardrails-tiers-content-filters-denied-topics/&quot;&gt;Amazon Bedrock Guardrails Standard tier</a> – You can enhance your AI content safety measures using the new Standard tier. It offers improved content filtering and topic denial capabilities across up to 60 languages, better detection of variations including typos, and stronger protection against prompt attacks. This feature lets you configure safeguards to block harmful content, prevent model hallucinations, redact personally identifiable information (PII), and verify factual claims through automated reasoning checks.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/06/amazon-route-53-resolver-endpoints-dns-delegation-private-hosted-zones/&quot;&gt;Amazon Route 53 Resolver endpoints for private hosted zone</a> – You can simplify DNS management across AWS and on-premises infrastructure using the new Route 53 DNS delegation feature for private hosted zone subdomains, which works with both inbound and outbound Resolver endpoints. You can delegate subdomain authority between your on-premises infrastructure and Route 53 Resolver cloud service using name server records, eliminating the need for complex conditional forwarding rules.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/06/amazon-q-developer-java-upgrade-transformation-cli-generally-available/&quot;&gt;Amazon Q Developer CLI for Java transformation</a> – You can automate and scale Java application upgrades using the new Amazon Q Developer Java transformation command line interface (CLI). This feature perform upgrades from Java versions 8, 11, 17, or 21 to versions 17 or 21 directly from the command line. This tool offers selective transformation options so you can choose specific steps from transformation plans and customize library upgrades.</li><li><a href="https://aws.amazon.com/about-aws/whats-new/2025/06/managed-integrations-aws-iot-device-management/&quot;&gt;New AWS IoT Device Management managed integrations</a> – You can simplify Internet of Things (IoT) device management across multiple manufacturers and protocols using the new managed integrations feature, which provides a unified interface for controlling devices whether they connect directly, through hubs or third-party clouds. The feature includes pre-built cloud-to-cloud (C2C) connectors, device data model templates, and SDKs that support ZigBee, Z-Wave, and Wi-Fi protocols, while you can still create custom connectors and data models.</li></ul><p>For a full list of AWS announcements, be sure to keep an eye on the <a href="https://aws.amazon.com/new/&quot;&gt;What’s New with AWS?</a> page.</p><p><strong>Other AWS news</strong><br /><a href="https://github.com/awslabs/mcp&quot;&gt;Various Model Context Protocol (MCP) servers for AWS services</a> have been released. Here are some tutorials about MCP servers that you might find interesting:</p><ul><li><a href="https://aws.amazon.com/blogs/machine-learning/aws-costs-estimation-using-amazon-q-cli-and-aws-cost-analysis-mcp/&quot;&gt;AWS costs estimation using Amazon Q CLI and AWS Cost Analysis MCP</a> – You can use Amazon Q CLI with the <a href="https://awslabs.github.io/mcp/servers/cost-analysis-mcp-server/&quot; target="_blank" rel="noopener">AWS Cost Analysis MCP</a> server to perform sophisticated cost analysis that follows AWS best practices. We discuss basic setup and advanced techniques, with detailed examples and step-by-step instructions.</li><li><a href="https://aws.amazon.com/blogs/database/supercharging-aws-database-development-with-aws-mcp-servers/&quot;&gt;Supercharging AWS database development with AWS MCP servers</a> – You can learn the core concepts behind MCP and demonstrate how new AWS MCP servers can accelerate your database development through natural language prompts.</li><li><a href="https://aws.amazon.com/blogs/dotnet/integrating-c-model-context-protocol-servers-with-amazon-q-developer-cli/&quot;&gt;Create your own MCP server with C# and .NET with Amazob Q CLI</a> – You’ll use Amazon Q CLI as an MCP client to configure your local development environment for building and testing C# MCP servers, enhancing your ability to create, iterate, and refine AI-powered applications.</li></ul><p><strong>Upcoming AWS events</strong><br />Check your calendars and sign up for these upcoming AWS events:</p><ul><li><a href="https://reinvent.awsevents.com/&quot;&gt;AWS re:Invent</a> – Register now to get a head start on choosing your best learning path, booking travel and accommodations, and bringing your team to learn, connect, and have fun. If you’re an early-career professional, you can apply to the <a href="https://reinvent.awsevents.com/all-builders-welcome/&quot;&gt;All Builders Welcome Grant program</a>, which is designed to remove financial barriers and create diverse pathways into cloud technology.</li><li><a href="https://aws.amazon.com/events/summits/&quot;&gt;AWS NY Summits</a> – You can gain insights from Swami’s keynote featuring the latest cutting-edge AWS technologies in compute, storage, and generative AI. My News Blog team is also preparing some exciting news for you. If you’re unable to attend in person, you can still participate by <a href="https://pages.awscloud.com/aws-summit-keynote-livestream-registration.html?trk=5bbb67f1-2127-4148-8e66-ec37a8d87b9e&amp;amp;sc_channel=el&quot;&gt;registering for the global live stream</a>. Also, save the date for <a href="https://aws.amazon.com/events/summits&quot;&gt;these upcoming Summits in July and August</a> near your city.</li><li><a href="https://aws.amazon.com/events/builders-online-series/&quot;&gt;AWS Builders Online Series</a> – If you’re based in one of the Asia Pacific time zones, join and learn fundamental AWS concepts, architectural best practices, and hands-on demonstrations to help you build, migrate, and deploy your workloads on AWS.</li></ul><p>You can browse <a href="https://aws.amazon.com/events/explore-aws-events?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;all upcoming in-person and virtual events</a>.</p><p>That’s all for this week. Check back next Monday for another Weekly Roundup!</p><p>— <a href="https://twitter.com/channyun&quot;&gt;Channy&lt;/a&gt;&lt;/p&gt;&lt;/section&gt;&lt;aside id="Comments" class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="cf9aa8c6-9fb7-4eaf-9be3-460b3ec73bc0" data-title="AWS Weekly Roundup: Project Rainier, Amazon CloudWatch investigations, AWS MCP servers, and more (June 30, 2025)" data-url="https://aws.amazon.com/blogs/aws/aws-weekly-roundup-project-rainier-amazon-cloudwatch-investigations-aws-mcp-servers-and-more-june-30-2025/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>

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AWS Rainier项目 AI Trainium2芯片 云计算
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