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Book Google Workspace resources from third-party calendars

Organizations that use both Google Workspace and other calendaring systems, like Microsoft Outlook, can now more easily coordinate shared resources, such as rooms, projectors, or company cars. We are introducing an open beta that allows non-Google users to book Google Workspace resources directly from their preferred calendar service.

Google Workspace admins can grant specific non-Google users or entire non-Google domains permission to book Workspace resources. Once these permissions are configured in the Admin Console, non-Google users can reserve a resource by simply adding its email address to the calendar event guest list. If the resource is configured to auto-reply, it automatically accepts or declines the invitation based on its availability and sends an email notification to the organizer.

Additionally, for organizations using both Google Workspace and Microsoft Outlook, admins can configure Calendar Interop. This allows Outlook users to find and book Workspace resources by their name and view their availability before sending an invite.


Getting started

  • Admins: This feature is OFF by default and can be configured at the resource level in the Admin console. Admins can specify which non-Google users or entire domains are permitted to book specific rooms. Visit the Help Center to learn more.
  • End users: Once an admin has granted permission, non-Google users can book a room by adding the resource email as an attendee to their calendar event.

Rollout pace

Availability

  • Business: Business Starter, Standard, and Plus
  • Enterprise: Enterprise Starter, Standard, and Plus
  • Education: Education Fundamentals, Standard, and Plus
  • Other Editions: Frontline Starter, Standard, and Plus; Nonprofits

Resources

Stable Channel Update for ChromeOS / ChromeOS Flex

The ChromeOS Stable channel is being updated to OS version 16581.54.0 (Browser version 146.0.7680.184) for most ChromeOS devices.

If you find new issues, please let us know one of the following ways:
  1. File a bug

  2. Visit our ChromeOS communities

    1. General: Chromebook Help Community

    2. Beta Specific: ChromeOS Beta Help Community

  3. Report an issue or send feedback on Chrome

  4. Interested in switching channels? Find out how.

Luis Menezes

Google ChromeOS

Introducing the Google Advertising and Measurement Developers Hub!

We're excited to announce the launch of the new Google Advertising and Measurement Developers Hub!

Come see the new site!

Whether you're looking to automate campaigns, analyze performance, manage tags, or monetize your apps, the new hub is designed to make it easier to find the right tools and information.

We've launched a new technical-user focused site to make it easier than ever for you to find the tools, resources, and support you need to build and innovate with Google's advertising and measurement products.

What's New?

We have created a one-stop shop where you can easily find the resources you need, connect with our team and the community, and get support. Here are some key features:

  • At-a-glance homepage: A clear starting point highlighting how we can help, with quick links to our blog, Discord, and information about our team.
  • Meet the team: Learn more about the Developer Relations team dedicated to supporting your success.
  • Products: A comprehensive directory of the developer products we cover, from the Google Ads API and Google Analytics APIs to Publisher Tools like AdMob and Ad Manager, linking directly to their official documentation. You can browse by categories like Advertising Platforms, Tagging, Measurement & Analytics, and Publisher Tools.
  • Connect with us: A streamlined page to help you find the best way to engage:
    • Join our vibrant Discord community.
    • Find links to product or technical support.
    • Download open source projects on GitHub.
  • Media and podcast: A new home for our multimedia content, including the Ads DevCast playlist embedded directly on the page.

We're excited to make this the place for you to learn, build, and connect.

Please explore the new site and use the Send Feedback button located at the bottom of each page to share your thoughts!

If you have any questions about this announcement or want to discuss it with our team and the community, please reach out to us on our "Google Advertising and Measurement Community" Discord server.

Happy Building!

- Aalap Shastri, Google Ads API Team

Kubernetes goes AI-First: Unpacking the new AI conformance program

by Duncan Campbell, Kaslin Fields, Developer Source & Signal
& Janet Kuo, Federico Bongiovanni, Google Kubernetes Engine(GKE)

As AI workloads move from experimental notebooks into massive production environments, the industry is rallying around a new standard to ensure these workloads remain portable, reliable, and efficient.

At the heart of this shift is the launch of the Certified Kubernetes AI Conformance program.

This initiative represents a significant investment in common, accessible, industry-wide standards, ensuring that the benefits of AI-first Kubernetes are available to everyone.

How Kubernetes is Evolving for an AI-First World

Traditional Kubernetes was built for stateless, cloud-first applications. However, AI workloads introduce unique complexities that standard conformance doesn't fully cover:

  • Specific Hardware Demands: AI models require precise control over accelerators like GPUs and TPUs.
  • Networking and Latency: Inference and distributed training require low-latency networking and specialized configurations.
  • Stateful Nature: Unlike traditional web apps, AI often relies on complex, stateful data pipelines.

The AI Conformance program acts as a superset of standard Kubernetes conformance. To be AI-conformant, a platform must first pass all standard Kubernetes tests and then meet additional requirements specifically for AI.

Key Pillars of the AI Conformance Program

The Kubernetes AI Conformance program is being driven in the open via the AI Conformance program. This cross-company effort is led by industry experts Janet Kuo (Google), Mario Fahlandt (Kubermatic GmbH), Rita Zhang (Microsoft), and Yuan Tang (RedHat). This program is a collaborative effort within the open source ecosystem, involving multiple organizations and individuals. By developing this program in the open, the community ensures the standard is built on trust and directly addresses the diverse needs of the global ecosystem. The program establishes a verified set of capabilities that platforms across the industry, like Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS) are already adopting.

Dynamic Resource Allocation (DRA)

DRA is the cornerstone of the new standard. It shifts resource allocation from simple accelerator quantity to fine-grained hardware control via attributes. For data scientists, this means they can now request specific hardware based on characteristics such as memory capacity or specialized capabilities, ensuring the environment perfectly matches the model's needs.

All-or-Nothing Scheduling

Distributed training jobs often face "deadlocks" where some pods start while others wait for resources, wasting expensive GPU time. AI Conformance mandates support for solutions like Kueue, allowing developers to ensure a job only begins when all required resources are available, improving cluster efficiency.

Intelligent Autoscaling for AI Workloads

Conformant clusters must support Horizontal Pod Autoscaling (HPA) based on custom AI metrics, such as GPU or TPU utilization, rather than just standard CPU/memory. This allows clusters to scale up for heavy inference demand and scale down to save costs when idle.

Standardized Observability for High Performance

To manage AI at scale, you need deep visibility. The program requires platforms to expose rich accelerator performance metrics directly, enabling teams to monitor inference latency, throughput, and hardware health in a standardized way.

What's Next?

The launch of AI Conformance is just the beginning. As we head further into 2026, the community is adding automated testing for certification and expanding the standard to include more advanced inference patterns and stricter security requirements.

The ultimate goal? Making "AI-readiness" an inherent, invisible part of the Kubernetes standard.

To get involved and help shape the future of AI on Kubernetes, consider joining AI Conformance in Open Source Kubernetes. We welcome diverse perspectives, as your expertise and feedback are crucial to building a robust and inclusive standard for all.