GFiber network performance and low latency infrastructure

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Latency, often called "ping," measures the round-trip time in milliseconds for data to travel between a device and a server. GFiber delivers a typical latency of 14.8 milliseconds (ms), providing a high-performance foundation for competitive gaming, real-time video collaboration, and AI-driven applications.[1]


The technical advantage of pure fiber (FTTH)


This low latency is due to our 100% fiber-to-the-home (FTTH) architecture, where light travels through fiber optic cables directly from our network to the Fiber Jack in your home. Unlike "hybrid fiber" or "fiber-powered" networks that often use copper segments for some portion of their infrastructure, our pure fiber connection was specifically built from the ground up for the dedicated purpose of providing extremely fast internet, not cable television.

Performance benchmarks for real-time use

For remote workers and gamers, lower latency means faster response times. GFiber’s 14.8ms latency is well within the high-performance range for critical digital tasks and 41% better than the US average:[1]

  • Competitive gaming: At 14.8ms, commands register near-instantly, keeping players in the performance window required for competitive play. GFiber has been recognized as PCMag’s Best Gaming ISP for three consecutive years.[2]

  • Remote work: Symmetrical speeds and low latency ensure video and voice quality remain ideal during video conferencing.

  • AI and smart home integration: Rapid request-response cycles are essential for the responsiveness of AI tools and connected home devices. 14.8ms latency ensures these applications stay responsive, even as they grow in complexity and become more and more common.

Standardized measurement and future-ready capacity

In addition to a battery of comprehensive internal monitoring and testing, GFiber monitors latency using the Ookla® multi-server methodology, which measures the median latency across multiple off-network servers to simulate real-world internet use. 

To support capacity demands for now and years to come, GFiber upgraded to 25G PON (passive optical network) technology in 2025. This infrastructure investment increases total network capacity and is designed to support the next generation of immersive video and cloud computing.

Learn more about GFiber speeds. 

GFiber products and symmetrical speeds

All GFiber products provide symmetrical upload and download speeds on the same low-latency network foundation. Symmetrical speeds are essential for latency-sensitive tasks because high upload capacity prevents bottlenecks when you're sending data.

Learn more about GFiber products. 


Frequently Asked Questions


What is a good latency for home internet?

For most internet use, latency under 20ms is excellent, under 50ms is good, and under 100ms is acceptable. GFiber's typical latency is 14.8ms.[1]


Does GFiber have low latency for gaming?

Yes. GFiber changed the game for gaming, delivering a typical latency of 14.8ms, measured against multiple off-network servers. This is well within the range required for competitive online gaming and a primary reason GFiber is a multi-year winner of the PCMag Best Gaming ISP award.


What is the difference between latency and download speed?

Download speed measures the volume of data transferred per second, while latency measures the speed of a single round trip. Both affect your experience, but different activities depend on latency and download speed differently. Streaming video depends heavily on download speed. Gaming, video calls, and real-time AI tools depend heavily on latency. GFiber’s average download speed is 448.0Mbps versus the US average of 295.7Mbps.[3]


What is 25G PON and why does it matter for latency?

25G PON (passive optical network) is fiber infrastructure capable of delivering 25 gigabits of capacity over a single fiber strand. GFiber has been upgrading to this technology for years. The investment to increase network capacity and drive latency down further, has built a future-proof foundation that powers even stronger AI applications, immersive video, and cloud computing.



Disclaimers

[1] Typical Latency: Latency comparison based on analysis by GFiber from Ookla® Speedtest Intelligence® data of GFiber multi-server median latency and combined median multi-server latency of all U.S. fixed broadband providers and speed tiers for Q2 2025. Individual speeds vary.

[2] PCMag Award: A trademark of Ziff Davis, LLC. Used under license. Reprinted with permission. © 2025 Ziff Davis, LLC. All Rights Reserved.

[3] Faster than U.S. average based on analysis by GFiber of Ookla® Speedtest Intelligence® data comparing GFiber fixed broadband median download or upload speeds to combined median download or upload speeds of all U.S. fixed broadband providers and speed tiers for Q2 2025. Individual speeds vary.


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More granular admin controls for Workspace Studio steps and starters

We’re introducing more granular admin controls for Workspace Studio steps and starters. With these new controls, admins can define which steps and starters people in their organization can use to create flows, including by Workspace service or individually. They provide admins more granular control of Studio functionality, and are particularly useful for gradual rollout of Studio in their organizations.


Getting started

  • Admins: Workspace Studio starters and steps will be ON by default and can be disabled at the domain, organizational unit, or group level. Visit the Help Center to learn more.
  • End users: There is no end user setting for this feature. The steps turned off by admins will show up as disabled (greyed out) in Studio. Existing flows with these steps won’t run, and the user will see an error.

Rollout pace

Availability

  • Business: Business Starter, Standard, and Plus
  • Enterprise: Enterprise Standard and Plus
  • Education: Education Fundamentals, Standard, and Plus
  • Education Add-ons: Google AI Pro for Education; Teaching and Learning
  • Other Add-ons: AI Expanded Access*
*Starting June 1, 2026, users with AI Expanded Access licenses will have higher limits on usage of Workspace Studio.

Resources

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Beta Channel Update for ChromeOS / ChromeOS Flex

The ChromeOS Beta channel is being updated to OS version 16667.22.0 (Browser version 149.0.7827.40) 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

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Gemini LTI Update: Include your LMS sources when using NotebookLM in Powerschool Schoology

When creating a notebook in Powerschool Schoology, Gemini LTI users can now add content directly from their course as sources. This integration allows educators and students to seamlessly bridge their course materials with AI-powered research and analysis, and generate Studio artifacts like Audio and Video Overviews, infographics, slide decks, and more based on their Schoology resources. By automating the import of Schoology course materials, users can quickly ground their notebooks in specific curriculum content without the need for manual file uploads.

Getting started

Rollout pace

Availability

  • Education: Education Fundamentals, Standard, and Plus

Resources

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Top AI on Android updates for building intelligent experiences from Google I/O ‘26

Posted by Jingyu Shi, Staff Developer Relations Engineer




At Google I/O 2026, we introduced Android’s shift from an operating system to an intelligence system. We also demonstrated how you can build intelligent experiences natively with the system and bring the power of Google’s AI into your apps. If you missed these updates, check out our quick recap video here: 


1. Putting your apps at the center of the intelligence system

The Android OS already enables agents like Gemini to complete task automation, where it can navigate an app on the users behalf. 

AppFunctions (Android MCP) provides you with more control over how your app integrates with the intelligence system. This new platform API and Jetpack library are currently available in experimental preview. 

  • Android MCP: AppFunctions allows your application to act as an on-device Model Context Protocol (MCP) server. It means you seamlessly share your app's tools, services and data to the system and agents.

  • Streamlined Development: You can leverage the new skill to easily generate AppFunctions within your codebase. 

  • Exploration and Testing: We’ve released a new test agent that allows you to experiment and debug your AppFunctions in a simulated agent environment. 
Early Access Program: Want to be among the first apps to deploy app functions in production? Join our early access program today!

To see it in action, check out the live demo showcased during the What’s New in Android presentation.


 2. On-Device Power with Gemini Nano 4 Preview


Last month, we launched Gemma 4, our state-of-the-art open models. You can already preview and prototype with the next generation of Gemini Nano (Nano 4) models with the AIcore developer preview. To make productionizing with Gemini Nano more reliable and performant, we are adding a few new features in ML Kit GenAI APIs: 

  • Prototype to Production: Transition from prototyping in the AICore Developer Preview to building production-ready apps using the ML Kit GenAI Prompt API to leverage Gemini Nano 4 that’s launching in flagship devices later this year.

  • Structured Output: The upcoming Structured Output API will allow you to define object classes to be returned as outputs from Prompt API, ensuring reliable outputs in productionizing your intelligent features. 

  • Prefix Caching: It optimizes your on-device inference performance with the prompt API. The new Prefix caching reduces inference time by storing and reusing the intermediate LLM state of processing a shared and recurring part of the prompt.


For highly customized or niche use cases, you can also use LiteRT-LM to bring your own fine-tuned small language model to Android.



3. Hybrid Inference & Agents

To help you build more advanced AI features like hybrid inference and explore building in-app agents, we’ve released new APIs, framework and guidances:

  • Firebase AI Logic Hybrid Inference: This new API provides the simple routing capability between on-device models and powerful cloud infrastructure. You can set explicit orchestration modes, such as PREFER_ON_DEVICE, PREFER_CLOUD, ONLY_ON_DEVICE, or ONLY_CLOUD, based on your need.

  • A2UI Jetpack Compose Renderer: The new A2UI library allows your agents to "speak UI". With the upcoming Jetpack Compose Renderer, you can automatically render these A2UI messages as native UI components.

  • ADK for Android: The first version of ADK for Android is available for experimentation. It allows you to build multi-agent workflows across both on-device and Cloud models while managing orchestration, context handling and sessions between agents.

From building with on-device models, exploring hybrid inference to building agents, you can see them in action in this talk: 
 


Start Building Today

Whether you are experimenting with AppFunctions to prepare for the intelligence system, or looking to bring the power of Google’s AI within your own app, we’ve got you covered. Dive deeper into the code snippets, samples and comprehensive developer guides on the Android AI hub. For the full breakdown of what’s new, check out the official AI on Android at Google I/O 2026 playlist.

We are excited to see what you build! 


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Keep your sources up to date with automatic Drive syncing in NotebookLM

We’re making it easier to keep your sources and insights current in NotebookLM by enabling automatic syncing with Google Drive. Previously, if you uploaded a file in Google Docs, Sheets, or Slides, you’d have to manually update it in NotebookLM to see the changes. With this update, as the content in your Drive files evolves, the information within the notebook updates automatically to match. This update ensures that you're always working with the most accurate and up-to-date information without the manual effort of re-syncing files.
NotebookLM will also strictly respect file deletions and permissions. If a user’s access to a Drive file is revoked, they will no longer be able to use that file as a source in their notebook. The source will appear in the sources list with a link to the source for the user to request access. Additionally, if a file is deleted from Drive, it will be removed from the notebook as well, ensuring your research environment stays organized and secure.

Getting started

Rollout pace

Availability

  • Available to all Google Workspace customers and users with personal Google accounts with access to NotebookLM

Resources

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