Local-AI Device Compatibility Checker
Detects the browser and hardware features your device needs to run local AI models — WebGPU, WebAssembly, CPU cores, device memory and more — so you know whether upcoming CreatorAiHub local-AI features will work smoothly, or need a lightweight fallback.
Device compatibility
This tool runs a set of feature checks against your browser. Nothing is uploaded — it's pure feature detection.
Last updated: September 2026
How it works
The tool queries a set of browser APIs directly — navigator.gpu, WebAssembly.validate, navigator.hardwareConcurrency, navigator.deviceMemory, canvas WebGL/WebGL2 contexts, localStorage and window.indexedDB — and reports what's available. Nothing is sent to a server; the checks are read-only capability probes. The overall verdict combines them into a single line so you know at a glance whether local AI features will run smoothly (WebGPU + fast CPU), acceptably (WASM + WebGL2), or need a cloud fallback.
How to use this tool
- Open the page. The check runs automatically and shows every capability with pass / warn / fail.
- Read the overall verdict chip at the top — that's the summary you'd share if asking for support.
- Hit Re-run check after switching browsers or updating your OS to see if anything changed.
- Copy the result and paste it into a support message if a local-AI feature isn't working — it saves everyone time.
Frequently asked questions
What's WebGPU and why does it matter?
WebGPU is a modern browser API that gives web pages direct access to your GPU for parallel compute — the same trick that makes local AI models like image generators and small language models fast enough to be usable. Without WebGPU, local AI still works via WebAssembly on the CPU, but 5–50× slower depending on the model. Chrome, Edge and Safari now ship WebGPU by default on most desktops.
What's a "good" spec for local AI?
Rough guidelines for a smooth experience: WebGPU support, 8+ CPU cores/threads, 8+ GB of RAM, and 2+ GB of free storage for model weights. Below that you can still run small models (transcription, quick text tools) but larger ones (image generation, big language models) will crawl or fail. This tool reports the actual numbers so you can compare against what a given feature needs.
Why does my Mac / iPhone show fewer details?
Safari doesn't expose navigator.deviceMemory or a granular hardware-concurrency count — Apple restricts them for anti-fingerprinting reasons. The tool falls back to "Not reported" for those on Safari, which isn't a failure — it just means the browser hides the exact spec. WebGPU on Safari (macOS 15+ and iOS 26+) still works.
Does the tool tell me if a specific model will run?
Not directly — it reports capabilities, not benchmarks. But you can use it as a shortcut: if WebGPU is a pass and you have 8+ cores, most consumer-grade local models will work. Serious model-specific benchmarking (tokens/sec, image gen time) needs actually running the model.
Is any info about my device sent anywhere?
No. Every check is a local browser API query — nothing is transmitted. The tool doesn't fingerprint, log or store any of the readings. Copy Result gives you the values so you can share them yourself if you want to.