Amazon WorkSpaces Applications introduces unified graphics images

Today, Amazon WorkSpaces Applications announces unified graphics images, a single image type that works across all supported graphics instance families, including G4dn, G5, G6, and G7. Previously, each graphics generation required its own dedicated image. Now customers can use one image to create and manage fleets on any supported graphics instance family.
Unified graphics images simplify image management and make it easier to adopt newer GPU generations as they become available. When creating a fleet using the unified graphics image, the console displays all compatible instance types, so you can choose the right price and performance for your workload. Fleets built on a unified graphics image can also change instance types across supported families using the console or the UpdateFleet API, an operation previously limited to sizes within a single instance family.
Unified graphics images are available in all AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications graphics instances are supported.
To get started, upgrade an existing graphics image through Managed Image Update or launch an image builder from a unified base image. To learn more, visit the Amazon WorkSpaces Applications documentation.

Quelle: aws.amazon.com

OpenAI GPT-6.1 Sol is now generally available on Amazon Bedrock

Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads.
Use GPT-6.1 Sol to build features, debug issues, iterate on solutions, carry out multistep workflows, and investigate complex codebases. It also supports explicit prompt caching on Amazon Bedrock, making it practical for agentic workloads that reuse context across repeated requests. Established AWS controls help you secure workloads, govern access, and audit model invocation activity.
You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the blog. 
Quelle: aws.amazon.com

Amazon RDS now adds full snapshot size information to the Console and API

Amazon RDS now displays the full snapshot size for RDS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeDBSnapshots API using the new field, ‘FullSnapshotSizeInBytes’. They can also view this on the console with the ‘Full Snapshot Size’ column.   
Amazon RDS snapshots are incremental. This means that if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots. The ‘FullSnapshotSizeInBytes’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB database volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it’s the first snapshot or a subsequent one. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot.
Full snapshot size is available all Amazon RDS database instances in all commercial AWS Regions. You can start using it today through the Amazon RDS Management Console, the AWS Command Line Interface (CLI), or the AWS SDKs. To learn more, see the Amazon RDS User Guide.
Quelle: aws.amazon.com

Amazon Bedrock Managed Agents, powered by OpenAI, is now available in preview

Developed jointly by AWS and OpenAI, Bedrock Managed Agents (BMA) is built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you already use. 
BMA manages how the model preserves state, selects and uses tools, executes code, and coordinates work across multiple steps and decisions. Durable sessions retain messages, tool calls, and intermediate results so you can return later, provide new information, and continue from the progress already made. You can add reusable skills for specialized procedures and connect agents to tools, including via Model Context Protocol (MCP) servers. Each agent operates with its own IAM role, supports human approval before consequential actions, and records supported API activity with AWS CloudTrail.
During preview, there is no additional charge for BMA beyond the underlying AWS resources your agents consume. Pricing is subject to change at general availability.
Get started with Amazon Bedrock Managed Agents today through supported APIs. BMA is available in preview in US East (N. Virginia), US West (Oregon), and US East (Ohio). For details, see the Amazon Bedrock documentation.  
Quelle: aws.amazon.com