Groups Conversations All groups and messages Sign in Technical - Cloud Conversations About Privacy • Terms     Amazon WorkSpaces Core Managed Instances now supports ModifyVolume API 0 views Skip to first unread message Eyal Estrin unread, 5:17 PM (13 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-workspaces-cmi-modifyvolume/ https://docs.aws.amazon.com/workspaces-instances/latest/api/API_ModifyVolume.html https://docs.aws.amazon.com/ebs/latest/userguide/ebs-modify-volume.html#elastic-volumes-limitations Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API to change volume size, type, IOPS, and throughput without instance restart.

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API, which lets you change volume size, volume type, IOPS, or throughput in place, without detaching the volume or restarting the instance. Previously, changing storage capacity or performance on a deployed managed instance required rebuilding it. With ModifyVolume, you can increase volume size up to 16,384 GiB, switch between supported Amazon EBS volume types, adjust IOPS for gp3, io1, and io2 volumes, and modify throughput for gp3 volumes. The API supports idempotency tokens to prevent duplicate changes, and you can track progress with the Amazon EC2 DescribeVolumesModifications operation. ModifyVolume is available in all AWS Regions where Amazon WorkSpaces Core Managed Instances is available. To get started, call ModifyVolume directly, or use it through your WorkSpaces Core partner solution once available. To learn more, see https://docs.aws.amazon.com/workspaces-instances/latest/api/API_ModifyVolume.html in the WorkSpaces Instances API Reference and https://docs.aws.amazon.com/ebs/latest/userguide/ebs-modify-volume.html#elastic-volumes-limitations in the Amazon EBS User Guide, or visit https://aws.amazon.com/workspaces/vdi-partners/.

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API, which lets you change volume size, volume type, IOPS, or throughput in place, without detaching the volume or restarting the instance. Previously, changing storage capacity or performance on a deployed managed instance required rebuilding it. With ModifyVolume, you can increase volume size up to 16,384 GiB, switch between supported Amazon EBS volume types, adjust IOPS for gp3, io1, and io2 volumes, and modify throughput for gp3 volumes. The API supports idempotency tokens to prevent duplicate changes, and you can track progress with the Amazon EC2 DescribeVolumesModifications operation. ModifyVolume is available in all AWS Regions where Amazon WorkSpaces Core Managed Instances is available. To get started, call ModifyVolume directly, or use it through your WorkSpaces Core partner solution once available. To learn more, see ModifyVolume in the WorkSpaces Instances API Reference and Limitations in the Amazon EBS User Guide, or visit WorkSpaces Core.

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API, which lets you change volume size, volume type, IOPS, or throughput in place, without detaching the volume or restarting the instance. Previously, changing storage capacity or performance on a deployed managed instance required rebuilding it. With ModifyVolume, you can increase volume size up to 16,384 GiB, switch between supported Amazon EBS volume types, adjust IOPS for gp3, io1, and io2 volumes, and modify throughput for gp3 volumes. The API supports idempotency tokens to prevent duplicate changes, and you can track progress with the Amazon EC2 DescribeVolumesModifications operation. ModifyVolume is available in all AWS Regions where Amazon WorkSpaces Core Managed Instances is available. To get started, call ModifyVolume directly, or use it through your WorkSpaces Core partner solution once available. To learn more, see ModifyVolume in the WorkSpaces Instances API Reference and Limitations in the Amazon EBS User Guide, or visit WorkSpaces Core.

https://aws.amazon.com/about-aws/whats-new/2026/09/amazon-workspaces-cmi-g7/ https://aws.amazon.com/ec2/instance-types/g7/

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 NVIDIA Blackwell GPU-powered Graphics G7 instances for high-performance graphics-intensive workloads.

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

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

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.

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.

Amazon WorkSpaces now supports nested virtualization on Personal and Core bundles, enabling developers to run Docker Desktop, WSL2, AI agents, and Android emulators without additional cost.

Development teams want cloud desktops that feel like local machines. Until now, that meant giving up containers. Today, Amazon WorkSpaces Personal supports nested virtualization. All WorkSpaces Personal and Core bundles, including Custom, support nested virtualization except on Value bundles, Amazon Linux 2, Windows Server 2016, or Windows 10. For the best experience, we recommend enabling [...]

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/. 

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.