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使用 Amazon Bedrock 上的 Mistral Large 解決複雜的推理任務
Mistral Large 非常適合需要大量推理能力的複雜工作,或高度專業的工作,例如合成文字產生或程式碼產生。

報告:公司從內部部署遷移至雲端後,AWS 可大幅節省成本
Snap 和 Formula 1 是兩家透過遷移至 AWS 雲端獲益的公司。了解他們為什麼進行轉換,以及如何節省成本。
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Jack Jones, 2025年4月18日Wacom Bridge is now generally available. This solution allows creatives such as artists and animators to have a local-like experience with their Wacom digital pen device when working remotely. The solution is available to users of Amazon DCV (including on-premises workstations), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon AppStream 2.0. What is Wacom Bridge? [...]
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Ariana Lopez, 2025年4月18日This post was co-written with Ariana Lopez, Sr. Partner Solution Architect at AWS; Scott Weber, Managing Director at PwC US and AWS Ambassador; Justin Guse, Director at PwC US and AWS Ambassador; and Joshua Sarkis, Senior Associate at PwC US. Building environments to meet various industry regulations and regulated workloads can be a complex task, [...]
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Yuxin Yang, Sripriya Kannan, Ryan Thurston, Inderpreet Singh, 2025年4月18日Tresle.ai, using over 49 AWS services, delivers a complete generative AI platform that enables businesses to harness AI capabilities for personalized recommendations, content generation, and data insights. With advanced vector search technology at its core, the platform makes it effortless for companies to integrate AI into their applications and uncover meaningful relationships across diverse datasets.
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Hamdy Eed, 2025年4月18日In this blog post, you will discover how Concierto MIGRATE address the challenges faced by organizations in migrating legacy workloads to the cloud. You learn in detail about Concierto, a comprehensive migration solution that not only facilitates seamless and accelerated migration of workloads to cloud in bulk, but also simplifies the process by eliminating the barriers that often stall cloud transitions.
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Dan Ferguson, Steven DeVries, Haleh Najafzadeh, Jeff Ruhnow, 2025年4月17日We are delighted to introduce the new AWS Well-Architected Generative AI Lens. Use the lens to make sure that your generative AI workloads are architected with operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability in mind.
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Sandeep Adwankar, Aditya Kalyanakrishnan, Srividya Parthasarathy, 2025年4月17日Amazon SageMaker Lakehouse is a unified, open, and secure data lakehouse that now seamlessly integrates with Amazon S3 Tables, the first cloud object store with built-in Apache Iceberg support. In this post, we guide you how to use various analytics services using the integration of SageMaker Lakehouse with S3 Tables.
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Ievgeniia Ieromenko, Justin Kontny, Liam Schneider, 2025年4月17日Amazon Web Services (AWS) is pleased to announce the release of new Security Reference Architecture (SRA) code examples for securing generative AI workloads. The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI services. These new code examples are [...]
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David Girling, Chinmayee Rane, Sonali Sahu, 2025年4月17日This post demonstrates how Zoom users can access their Amazon Q Business enterprise data directly within their Zoom interface, alleviating the need to switch between applications while maintaining enterprise security boundaries. Organizations can now configure Zoom as a data accessor in Amazon Q Business, enabling seamless integration between their Amazon Q index and Zoom AI Companion. This integration allows users to access their enterprise knowledge in a controlled manner directly within the Zoom platform.
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Alex Smith, Sanchith Kandaka, 2025年4月17日Note: This post was first published April 21, 2016. The updated version aligns with the latest version of AWS WAF (AWS WAF v2) and includes screenshots that reflect the changes in the AWS console experience. AWS WAF Classic has been deprecated and will be end-of-life (EOL) in September 2025. This update describes how to use [...]
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Ameet Deshpande, Vatsal Saglani, Siddan Korbu, 2025年4月17日In this post, we explore how QyrusAI and Amazon Bedrock are revolutionizing shift-left testing, enabling teams to deliver better software faster. Amazon Bedrock is a fully managed service that allows businesses to build and scale generative AI applications using foundation models (FMs) from leading AI providers. It enables seamless integration with AWS services, offering customization, security, and scalability without managing infrastructure.