Short answer
Your browser supports WebGPU if the standard JavaScript interface is available and active. You can verify this instantly using our live testing tools, which run directly in your browser without storing any data. For running local AI models, basic WebGPU support is necessary but not always sufficient; you also need specific hardware acceleration capabilities that vary by device and browser version.
What is WebGPU and why it matters
WebGPU is a modern graphics API that allows browsers to access high-performance GPU features. It replaces older standards like WebGL in many use cases because it offers better performance and more flexibility for compute tasks. This is particularly important for local AI, where neural networks rely on parallel processing that GPUs handle much more efficiently than CPUs. When you see WebGPU mentioned in release notes, it usually means the browser engine has added support for the underlying standards that enable these faster computations.
How to check your current status
The most reliable way to check is to use a live detection tool that queries the browser's capabilities directly. Unlike checking version numbers, which can be misleading due to different browser update cycles, live testing shows exactly what is available in your current environment. Here is how to do it:
- Open our Device Information tool to get an overview of your system capabilities.
- Use the GPU Information checker to identify your graphics hardware. WebGPU performance depends heavily on the specific GPU driver and model.
- Run the Browser Information test to confirm which engine you are using. Some browsers enable WebGPU by default, while others may require enabling specific flags.
Understanding support levels
Not all support is created equal. A browser might have the JavaScript API available but lack the underlying driver support to actually execute compute shaders. This distinction is critical for AI workloads. The table below outlines what different support levels typically mean for running local models:
| Support Level | What it means | AI Readiness |
|---|---|---|
| API Available | The JavaScript interface exists, but initialization may fail. | Uncertain. Test with a live tool. |
| Active Context | The GPU context is successfully created and active. | High. The browser can communicate with the GPU. |
| Compute Capable | The GPU supports the specific compute features required for AI inference. | Best. You can run complex local models efficiently. |
| Unsupported | The browser does not recognize the WebGPU API. | None. You must use a CPU fallback or update your browser. |
It is also helpful to understand what your browser reveals about its own capabilities. You can inspect the raw details using our User Agent Checker. While the user-agent string does not explicitly list WebGPU, it identifies the browser family and version, which are strong indicators of feature support. For more on how websites and tools interpret these strings, see our guide on what is user agent.
Checking for Local AI Readiness
Having WebGPU is a significant step, but for running local AI models, you need to ensure the entire pipeline works. This includes not just the graphics API, but also how the browser handles hardware acceleration for specific tensor operations. We recommend using our dedicated Local AI Readiness checker. This tool specifically tests for the combination of WebGPU support and the necessary compute features required for common AI workloads. It provides a clear pass/fail indicator rather than just checking for the presence of an API.
If you are troubleshooting, it is also useful to verify that your JavaScript engine is fully functional. Use the JavaScript Test to ensure that modern language features are active, as WebGPU relies on them. Additionally, checking your Device Type can help contextualize the results. A high-end desktop PC will have a very different WebGPU profile compared to a mobile phone or a tablet. For more on how device types are detected, refer to how to check device type and how websites detect your device.
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