Browser-based hardware detection
Detects available hardware signals directly in the browser and uses that information to estimate what local models the machine can handle.
What's my local AI?
What's my local AI? helps you detect your hardware locally and find AI models that may run with Ollama or LM Studio—without uploading machine data.
Overview
What's my local AI? is a browser-based model picker for people running AI locally on their own hardware. It detects what it can from the machine in the browser and then suggests which local models may run with tools such as Ollama or LM Studio.
The page emphasizes that detection happens locally, so nothing is uploaded. Users can also adjust hardware values manually to see how the recommended model set changes, which makes it useful for comparing options before installing or trying a model.
Core capabilities
Local model suggestions
Shows model recommendations for local runtimes including Ollama and LM Studio, helping users narrow the list to models that fit their setup.
Editable hardware inputs
Lets users edit detected values such as GPU, RAM, VRAM, CPU, OS, and WebGPU so they can test different hardware assumptions.
Model filtering and sorting
Ranks options from lean to maximum performance and offers alternate sort views such as largest first, smallest first, and alphabetical.
Fit guidance
Indicates when a model is a tight fit and flags cases where even the smallest listed model needs about 2 GB, which helps users judge headroom.
Common use cases
Check model fit before setup
Choose a local model that fits your laptop or desktop before you install anything, using detected hardware plus any manual adjustments you want to make.
Plan private writing workflows
Compare local AI options for private drafting, translation, or brainstorming when you want to keep content on your own machine.
Prepare for offline coding help
Test offline coding assistance on hardware that may need to work without internet access, such as while traveling or in low-connectivity environments.
Try local models before API spend
Experiment with open-weight reasoning, vision, or tool-using models on your own machine before deciding whether an API is worth paying for.
Learn how model size affects performance
Use the model list to build intuition about how different model sizes behave on your hardware by changing specs and comparing recommendations.
Pros and Cons
Pros
- Runs locally in the browser, with no upload step described.
- Helps match local models to the user’s hardware before installation or use.
- Supports common local runtimes mentioned on the site: Ollama and LM Studio.
- Lets users edit detected specs to explore different configurations.
- Useful for private, offline, or no-quota local AI workflows.
Cons
- The source says some hardware values are only best guesses, so the result may need manual correction.
- It needs JavaScript to run.
- The page does not provide pricing or plan details.
FAQ
How does What's my local AI work?
It runs in the browser with JavaScript enabled. The page notes that detection happens locally, so there is nothing to upload before you see a recommendation.
Which local AI tools does it support?
The page specifically mentions Ollama and LM Studio as the local runtimes it helps you choose models for.
Can I adjust the detected hardware values?
The source says it auto-detects what it can from the browser and lets you tweak values such as GPU, RAM, VRAM, CPU, OS, and WebGPU presence when you want to adjust the estimate.
Who is it for?
The page is aimed at people choosing models for private drafting, offline coding, reading their own files, running zero-cost experiments, or learning how model sizes behave on their hardware.
What does it cost?
The source does not list pricing details, so the page content here does not confirm whether the product is free, paid, or both.
Quick Facts
- Category
- Developer Tool
- Platform
- Web browser
- Primary use
- Local model selection
- Local runtimes mentioned
- Ollama, LM Studio
- Source domain
- whatsmylocal.ai
- Setup note
- Requires JavaScript
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