WorkSpaces for AI agents now supports Linux and Windows 11 cloud desktops, in addition to Windows Server. You can run each AI agent on the operating system that its workflows and applications require. Your agents can then work in the same environments that your workforce already uses, without re-platforming.  Linux desktops give agents full root access to the operating system where many developers already build, test, and automate agentic workflows. Agents can take on developer tasks, such as running builds, tests, and scripts, within the enterprise-grade security and governance controls you already rely on. Windows 11 desktops let agents work in the enterprise applications your teams depend on every day. Linux and Windows 11 desktops have the same security and governance controls as Windows Server desktops. These include network isolation, IAM-based access, and the compliance boundaries your organization already has in place. To get started operating AI agents on WorkSpaces, visit: https://docs.aws.amazon.com/appstream2/latest/developerguide/agent-access.html.

AWS announces new Linux bundles for Amazon WorkSpaces Personal, including Rocky Linux 10, Red Hat Enterprise Linux 10, and Ubuntu 26.04 LTS. With these bundles, you can launch WorkSpaces on the latest enterprise Linux operating systems and use newer software packages that are only available in these releases. These new bundles feature modern Wayland display technology, giving you access to the latest Linux desktop capabilities. The new OS options also bring stronger security and longer support lifecycles from each distribution. While Rocky Linux 8 and 9, Red Hat Enterprise Linux 8 and 9, and Ubuntu 22.04 LTS and 24.04 LTS powered WorkSpaces bundles remain available, the new bundles let you adopt the latest releases on your own timeline. Your existing WorkSpaces keep running with no changes. You can move users to the new operating systems once your applications and workflows are ready. To get started, select a managed Rocky Linux 10, Red Hat Enterprise Linux 10, or Ubuntu 26.04 LTS bundle when you create a new Linux WorkSpace. These bundles are available in Standard, Performance, Power, and PowerPro sizes in all AWS Regions where Amazon WorkSpaces is available. For a full list of supported operating systems, see Bundles and images for WorkSpaces Personal. For pricing information, visit the Amazon WorkSpaces pricing page.

AWS announces new Linux bundles for Amazon WorkSpaces Personal, including Rocky Linux 10, Red Hat Enterprise Linux 10, and Ubuntu 26.04 LTS. With these bundles, you can launch WorkSpaces on the latest enterprise Linux operating systems and use newer software packages that are only available in these releases. These new bundles feature modern Wayland display technology, giving you access to the latest Linux desktop capabilities. The new OS options also bring stronger security and longer support lifecycles from each distribution. While Rocky Linux 8 and 9, Red Hat Enterprise Linux 8 and 9, and Ubuntu 22.04 LTS and 24.04 LTS powered WorkSpaces bundles remain available, the new bundles let you adopt the latest releases on your own timeline. Your existing WorkSpaces keep running with no changes. You can move users to the new operating systems once your applications and workflows are ready. To get started, select a managed Rocky Linux 10, Red Hat Enterprise Linux 10, or Ubuntu 26.04 LTS bundle when you create a new Linux WorkSpace. These bundles are available in Standard, Performance, Power, and PowerPro sizes in all AWS Regions where Amazon WorkSpaces is available. For a full list of supported operating systems, see https://docs.aws.amazon.com/workspaces/latest/adminguide/amazon-workspaces-bundles.html. For pricing information, visit the Amazon WorkSpaces https://aws.amazon.com/workspaces/desktop-as-a-service/pricing/.

WorkSpaces for AI agents now supports Linux and Windows 11 cloud desktops, in addition to Windows Server. You can run each AI agent on the operating system that its workflows and applications require. Your agents can then work in the same environments that your workforce already uses, without re-platforming.  Linux desktops give agents full root access to the operating system where many developers already build, test, and automate agentic workflows. Agents can take on developer tasks, such as running builds, tests, and scripts, within the enterprise-grade security and governance controls you already rely on. Windows 11 desktops let agents work in the enterprise applications your teams depend on every day. Linux and Windows 11 desktops have the same security and governance controls as Windows Server desktops. These include network isolation, IAM-based access, and the compliance boundaries your organization already has in place. To get started operating AI agents on WorkSpaces, visit: https://docs.aws.amazon.com/appstream2/latest/developerguide/agent-access.html.

WorkSpaces for AI agents now handles authentication and desktop connections as part of the managed Model Context Protocol (MCP) service, so you can connect agents to governed cloud desktops, removing the need to write custom code. This makes it easy to use WorkSpaces with any client that supports MCP. Connecting an agent to a desktop previously required you to manage presession requirements; generate, invoke, and rotate streaming URLs manually, adding complexity every time a session expired. You can now create sessions with your existing AWS credentials through OAuth 2.0, and the service handles the connection lifecycle. You configure once which desktop stack to use, and your agents reach the right desktop without ever seeing or handling the underlying streaming connection. You can also query session state to see which desktop stack, fleet, and session an agent is connected to, and generate a link for real-time observability of your agent. This gives you visibility and auditability over active agent work to know what your agents are doing and where. To help your agents work with multiple applications, they can now discover and launch applications through a catalog MCP Tool rather than navigating menus. Using these new tools, agents can list the available applications, launch one or several at runtime, and switch between them, replacing the start-menu and taskbar navigation with a programmatic, deterministic path that improves accuracy and reduces token cost.  WorkSpaces for AI agents runs agent sessions inside the same network isolation and compliance boundaries that govern your human workforce, inheriting the VPC controls, data-loss prevention policies, and session-level security posture that enterprises have already configured. The service is also now available in four additional AWS Regions: South America (São Paulo), Europe (Milan), Europe (Spain), and Asia Pacific (Malaysia). To get started operating AI agents on WorkSpaces, visit: https://docs.aws.amazon.com/appstream2/latest/developerguide/agent-access.html.

WorkSpaces for AI agents now handles authentication and desktop connections as part of the managed Model Context Protocol (MCP) service, so you can connect agents to governed cloud desktops, removing the need to write custom code. This makes it easy to use WorkSpaces with any client that supports MCP. Connecting an agent to a desktop previously required you to manage presession requirements; generate, invoke, and rotate streaming URLs manually, adding complexity every time a session expired. You can now create sessions with your existing AWS credentials through OAuth 2.0, and the service handles the connection lifecycle. You configure once which desktop stack to use, and your agents reach the right desktop without ever seeing or handling the underlying streaming connection. You can also query session state to see which desktop stack, fleet, and session an agent is connected to, and generate a link for real-time observability of your agent. This gives you visibility and auditability over active agent work to know what your agents are doing and where. To help your agents work with multiple applications, they can now discover and launch applications through a catalog MCP Tool rather than navigating menus. Using these new tools, agents can list the available applications, launch one or several at runtime, and switch between them, replacing the start-menu and taskbar navigation with a programmatic, deterministic path that improves accuracy and reduces token cost.  WorkSpaces for AI agents runs agent sessions inside the same network isolation and compliance boundaries that govern your human workforce, inheriting the VPC controls, data-loss prevention policies, and session-level security posture that enterprises have already configured. The service is also now available in four additional AWS Regions: South America (São Paulo), Europe (Milan), Europe (Spain), and Asia Pacific (Malaysia). To get started operating AI agents on WorkSpaces, visit: https://docs.aws.amazon.com/appstream2/latest/developerguide/agent-access.html.

Amazon WorkSpaces Core Managed Instances now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. G7 instances deliver up to 2.1X better performance for graphics-intensive workloads compared to previous generation G6 instances. With Graphics G7, customers can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67X faster memory bandwidth, enabling larger, more complex 3D scenes and models. Six instance sizes are available with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB, with support for Linux and Windows, including bring-your-own-license. Graphics G7 instances for WorkSpaces Core Managed Instances are available in US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). Additional AWS Regions will be added as availability expands. To get started, specify an instance type from the G7 family when creating a new WorkSpaces Core Managed Instance, or look for G7 instance types when they become available through your WorkSpaces Core partner solution. For more information, see the following resources: https://aws.amazon.com/workspaces/vdi-partners/ https://docs.aws.amazon.com/workspaces-core/latest/ag/partner-admin-guides.html https://aws.amazon.com/ec2/instance-types/g7/ https://aws.amazon.com/workspaces/vdi-partners/pricing/

Amazon WorkSpaces Core Managed Instances now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. G7 instances deliver up to 2.1X better performance for graphics-intensive workloads compared to previous generation G6 instances. With Graphics G7, customers can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67X faster memory bandwidth, enabling larger, more complex 3D scenes and models. Six instance sizes are available with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB, with support for Linux and Windows, including bring-your-own-license. Graphics G7 instances for WorkSpaces Core Managed Instances are available in US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). Additional AWS Regions will be added as availability expands. To get started, specify an instance type from the G7 family when creating a new WorkSpaces Core Managed Instance, or look for G7 instance types when they become available through your WorkSpaces Core partner solution. For more information, see the following resources: Amazon WorkSpaces Core Amazon WorkSpaces Core Managed Instances EC2 G7 Instance Types Amazon WorkSpaces Core Managed Instances Pricing

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.

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 https://docs.aws.amazon.com/appstream2/latest/developerguide/unified-graphics-images.html.

Amazon WorkSpaces Personal and Amazon WorkSpaces Core now support Graphics G7 bundles, built on NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. Graphics G7 delivers up to 2.1x better performance for graphics-intensive workloads compared to previous generation Graphics G6 bundles. Four bundle sizes are available, ranging from 8 vCPUs, 32 GB of memory, and one GPU up to 48 vCPUs, 192 GB of memory, and two GPUs. With Graphics G7, you can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. Each GPU provides 32 GB of GDDR7 memory, enabling larger and more complex 3D scenes and models. Graphics G7 bundles are available with Windows, including bring-your-own-license, and support both AlwaysOn and AutoStop running modes. Graphics G7 bundles are available for both WorkSpaces Personal and WorkSpaces Core in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional Regions will be added as availability expands. To get started, select a Graphics G7 bundle when creating a workspace in the https://aws.amazon.com/console/, or through your Workspaces Core partner solution. For more information on available instance types, see https://docs.aws.amazon.com/workspaces/latest/adminguide/bundle-options.htmlhttps://docs.aws.amazon.com/workspaces/latest/adminguide/bundle-options.htmlhttps://docs.aws.amazon.com/workspaces/latest/adminguide/bundle-options.html. To learn more about G7 GPU capabilities, visit the https://aws.amazon.com/ec2/instance-types/g7/. For pricing details, see https://aws.amazon.com/workspaces/desktop-as-a-service/pricing/ or https://aws.amazon.com/workspaces/vdi-partners/pricing/.

Amazon WorkSpaces Personal and Amazon WorkSpaces Core now support Graphics G7 bundles, built on NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. Graphics G7 delivers up to 2.1x better performance for graphics-intensive workloads compared to previous generation Graphics G6 bundles. Four bundle sizes are available, ranging from 8 vCPUs, 32 GB of memory, and one GPU up to 48 vCPUs, 192 GB of memory, and two GPUs. With Graphics G7, you can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. Each GPU provides 32 GB of GDDR7 memory, enabling larger and more complex 3D scenes and models. Graphics G7 bundles are available with Windows, including bring-your-own-license, and support both AlwaysOn and AutoStop running modes. Graphics G7 bundles are available for both WorkSpaces Personal and WorkSpaces Core in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional Regions will be added as availability expands. To get started, select a Graphics G7 bundle when creating a workspace in the Amazon WorkSpaces console, or through your Workspaces Core partner solution. For more information on available instance types, see WorkSpaces Personal Instance Families. To learn more about G7 GPU capabilities, visit the EC2 G7 Instance Types page. For pricing details, see Amazon WorkSpaces Personal Pricing or Core Bundles Pricing.

“ I have checked the documents of AWS for user onboarding and desktop provisioning via aws directory...

Amazon WorkSpaces Applications now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon Scalable (6th Gen) processors. G7 instances deliver up to 2.1× better performance for graphics-intensive workloads compared to previous generation G6 instances. With Graphics G7, customers can stream demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67× faster memory bandwidth, enabling streaming of larger, more complex 3D scenes and models. Six instance sizes are available, with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB. Graphics G7 instances are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional regions will be added as availability expands. To get started, select a Graphics G7 instance when launching an image builder or creating a new fleet in the https://aws.amazon.com/console/. For more information on available instance types, see https://docs.aws.amazon.com/appstream2/latest/developerguide/instance-types.html. To learn more about G7 GPU capabilities, visit the https://aws.amazon.com/ec2/instance-types/g7/. For pricing details, see https://aws.amazon.com/workspaces/applications/pricing/.

Amazon WorkSpaces Applications now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon Scalable (6th Gen) processors. G7 instances deliver up to 2.1× better performance for graphics-intensive workloads compared to previous generation G6 instances. With Graphics G7, customers can stream demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67× faster memory bandwidth, enabling streaming of larger, more complex 3D scenes and models. Six instance sizes are available, with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB. Graphics G7 instances are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional regions will be added as availability expands. To get started, select a Graphics G7 instance when launching an image builder or creating a new fleet in the Amazon WorkSpaces Applications console. For more information on available instance types, see WorkSpaces Applications Instance Families. To learn more about G7 GPU capabilities, visit the EC2 G7 Instance Types page. For pricing details, see Amazon WorkSpaces Applications Pricing.

During my time at AWS, I have always looked for opportunities to work with students. I have delivered over 50 talks at universities across the region, and watching the potential in the room is always a strong motivator. It reminds me of why I do this work, and that the students I meet today may […]

AWS announces availability of nested virtualization for Amazon WorkSpaces Personal and Amazon WorkSpaces Core Managed Bundles. With nested virtualization enabled, developers can run Docker Desktop, WSL2, and other hypervisor-dependent tools directly on their Windows WorkSpaces, and KVM-based workloads, Android emulators, and nested containers on their Linux WorkSpaces — without needing separate physical hardware or workaround environments. Nested virtualization is supported on license-included (public and custom) bundles, Bring Your Own License (BYOL) bundles, and Bring Your Own Protocol (BYOP) bundles running Windows Server 2019, Windows Server 2022, Windows Server 2025, Windows 11, Ubuntu 22.04, Ubuntu 24.04, Red Hat Enterprise Linux 8, Red Hat Enterprise Linux 9, Rocky 8, or Rocky 9 with DCV protocol. Power (4 vCPU) or higher is recommended. Nested virtualization is not supported on GPU bundles, the PCoIP protocol, or Amazon WorkSpaces based on Windows Server 2016, Windows 10, and Amazon Linux 2. Administrators can enable or disable nested virtualization at the individual workspace level through the console, API, or CLI. You can get started by enabling nested virtualization on your WorkSpaces through the console or CLI. For more information, visit the Amazon WorkSpaces documentation on Nested Virtualization. Nested virtualization is available in all AWS Regions where Amazon WorkSpaces is available, excluding China (Ningxia) Region and Israel (Tel Aviv) Region. For pricing information, visit Amazon WorkSpaces pricing page.

AWS announces availability of nested virtualization for Amazon WorkSpaces Personal and Amazon WorkSpaces Core Managed Bundles. With nested virtualization enabled, developers can run Docker Desktop, WSL2, and other hypervisor-dependent tools directly on their Windows WorkSpaces, and KVM-based workloads, Android emulators, and nested containers on their Linux WorkSpaces — without needing separate physical hardware or workaround environments. Nested virtualization is supported on license-included (public and custom) bundles, Bring Your Own License (BYOL) bundles, and Bring Your Own Protocol (BYOP) bundles running Windows Server 2019, Windows Server 2022, Windows Server 2025, Windows 11, Ubuntu 22.04, Ubuntu 24.04, Red Hat Enterprise Linux 8, Red Hat Enterprise Linux 9, Rocky 8, or Rocky 9 with DCV protocol. Power (4 vCPU) or higher is recommended. Nested virtualization is not supported on GPU bundles, the PCoIP protocol, or Amazon WorkSpaces based on Windows Server 2016, Windows 10, and Amazon Linux 2. Administrators can enable or disable nested virtualization at the individual workspace level through the console, API, or CLI. You can get started by enabling nested virtualization on your WorkSpaces through the console or CLI. For more information, visit the Amazon WorkSpaces documentation on https://docs.aws.amazon.com/workspaces/latest/adminguide/nested-virtualization-workspaces.html. Nested virtualization is available in all AWS Regions where Amazon WorkSpaces is available, excluding China (Ningxia) Region and Israel (Tel Aviv) Region. For pricing information, visit Amazon WorkSpaces https://aws.amazon.com/workspaces/pricing/. 

Amazon WorkSpaces, AWS's fully managed cloud desktop service, now enables AI agents to securely access and operate desktop applications through managed WorkSpaces environments. Many enterprises run critical business processes on desktop applications—mainframes, ERP systems, and proprietary tools—that lack modern APIs, creating a "last-mile challenge" for AI agents. WorkSpaces now allows organizations to automate everyday workflows at scale while maintaining full enterprise-grade governance and compliance. AI agents built on any framework and running anywhere—cloud-hosted, on-premises, or hybrid—can now connect to business applications with minimal code using industry-standard Model Context Protocol (MCP) integration. Builders gain fast time-to-value without standing up new infrastructure, while IT administrators maintain centralized permissions, logging, and auditing controls identical to human WorkSpaces environments. Enterprise observability features including screenshots and metrics provide full visibility into agent activities. Organizations can automate workflows spanning claims processing, trade settlement, candidate screening, and back-office operations across financial services, healthcare, and other regulated industries—all without requiring application modernization. WorkSpaces delivers secure environments where agents can point, click, and navigate on desktop applications just like humans. With pay-as-you-go pricing and elastic scale built on AWS's global infrastructure, enterprises reduce IT overhead while expanding what's possible when people and AI work together. To learn more, visit the https://docs.aws.amazon.com/appstream2/latest/developerguide/agent-access.html  

We’re thrilled to announce the first-ever Virtual Desktop Infrastructure (VDI) optimization for Microsoft Teams in Amazon WorkSpaces for...

AWS has issued a critical security advisory highlighting vulnerabilities in specific versions of its native clients for Amazon WorkSpaces, AppStream 2.0.

米AmazonWebServicesが仮想デスクトップAmazonWorkSpacesなどにアクセスできるシンクライアント端末とその管理ツールAmazonWorkSpacesThinClientの提供を始めた

しばたです少し前の話ですがAWSからAmazonWorkSpacesintroducesselfservicediagnosticloguploadsというタイトルの更新が発表されましたこの発表

しばたです先日AmazonWorkSpacesでWindowsServerのイメージが使える様になった旨のアナウンスがありました本記事ではこの更新について実際に試してみたので簡単に解説していきます