Cloud Computing Köln

Gemma 4 models are now available in Amazon SageMaker JumpStart

Today, AWS announced the availability of Gemma 4 E4B, Gemma 4 26B-A4B, and Gemma 4 31B in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three instruction-tuned models from Google DeepMind bring multimodal capabilities with configurable reasoning, native function calling, and multilingual support across 140+ languages, enabling customers to build sophisticated AI applications across diverse use cases on AWS infrastructure.
All three models share a common set of capabilities that address a broad range of enterprise AI use cases:
Thinking – Built-in reasoning mode that lets the model think step-by-step before answering
Image Understanding – Object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR including multilingual, and handwriting recognition
Video Understanding – Analyze video content by processing sequences of frames
Interleaved Multimodal Input – Freely mix text and images in any order within a single prompt
Function Calling – Native support for structured tool use, enabling agentic workflows
Coding – Code generation, completion, and correction
Multilingual – Out-of-the-box support for 35+ languages, pre-trained on 140+ languages
Customers can choose the model that best fits their workload: Gemma 4 E4B additionally supports audio input for automatic speech recognition (ASR) and speech-to-translated-text translation across multiple languages.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases. To get started with these models, navigate to the Models section of SageMaker Studio or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

Amazon CloudFront now supports invalidation by cache tag

Amazon CloudFront now allows you to invalidate cached objects by cache tag, enabling you to remove groups of related content from CloudFront edge locations with a single invalidation request. Cache tag invalidation simplifies common operational workflows such as updating product information across multiple pages, managing legal takedown requests, handling regulatory compliance requests, and refreshing content across multi-tenant platforms. Previously, invalidating related objects that didn’t share a common URL path required tracking individual URLs or using broad wildcard patterns that could unnecessarily clear unrelated content. With invalidation by cache tag, developers and site reliability engineers can tag cached objects when returning an object by including a specified header in HTTP responses with comma-separated tag values. When needed, they can invalidate all objects sharing a tag in one request, maintaining high cache hit ratios while ensuring end users see fresh content within seconds. You can configure the header name through the Amazon CloudFront console, AWS CLI, or API, and assign multiple tags per object for flexible, precise cache management. Over the years, CloudFront has made improvements to propagation times. Currently, invalidations take effect in under 5 seconds at P95. The end-to-end completion time, which includes reporting the invalidation status back, is under 25 seconds at P95. Amazon CloudFront invalidation by cache tag is available in all AWS Regions where CloudFront is offered except China (Beijing, operated by Sinnet) and China (Ningxia, operated by NWCD). To learn more, view the Invalidations By Cache Tag documentation. Each cache tag is priced as one path. For details on pricing, refer to the CloudFront pricing page.
Quelle: aws.amazon.com

Amazon DocumentDB (with MongoDB compatibility) is Now Available in the Canada West (Calgary) Region

Amazon DocumentDB (with MongoDB compatibility) is now available in the Canada West (Calgary) region adding to the list of available regions where you can use Amazon DocumentDB.
Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low latency read replicas in minutes with no application downtime.
To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page. You can create a Amazon DocumentDB cluster from the AWS Management console, AWS Command Line Interface (CLI), or SDK.
Quelle: aws.amazon.com

Amazon WorkSpaces Personal enhances PCoIP to DCV protocol migration

Amazon WorkSpaces Personal now provides an enhanced experience for administrators migrating WorkSpaces from PCoIP to DCV protocol, including a guided console action for protocol modification, checkpoint snapshots for rollback support, and session blocking during migration. Amazon DCV is a high-performance streaming protocol built by AWS that powers Amazon WorkSpaces services. By migrating to DCV, customers gain access to broader operating system support including Windows 11 and Windows Server 2025, enhanced security features such as certificate-based authentication and WebAuthN, and improved streaming performance. Administrators can now modify a WorkSpace’s streaming protocol directly from the AWS Management Console through a single-click action, in addition to the existing command line interface (CLI) and API methods. Before migration begins, WorkSpaces automatically takes a checkpoint snapshot, enabling administrators to restore to a known-good state if migration fails, ensuring no data loss. Session provisioning is also blocked during migration with clear error messaging for end users who attempt to connect, preventing connection attempts from interfering with the migration process. Together, these enhancements help administrators migrate WorkSpaces to DCV with greater confidence and operational simplicity. These enhancements are available in all AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Personal is supported. To get started, sign in to the Amazon WorkSpaces console. For more information, see Modify protocols section in the Amazon WorkSpaces Administration Guide. To learn more about Amazon WorkSpaces, visit the Amazon WorkSpaces product page.
Quelle: aws.amazon.com