AI Hardware Fit
AI Hardware Fit: Open-source calculator for which LLMs your GPU can run and full AI infrastructure estimates
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What is AI Hardware Fit?
AI Hardware Fit is a tool that A GPU and AI model compatibility checker that calculates which LLM, RAG, Vision, and speech models can run on specific GPUs, recommends hardware for target models, or plans complete infrastructure for multi-user AI services. Supports 146+ GPU presets with real-time calculations based on VRAM and bandwidth specifications.
AI Hardware Fit pricing
Pricing model: Freemium
AI Hardware Fit pros
- Instant GPU-to-model compatibility calculations with predicted inference speed estimates
- Multiple workflow paths: existing GPU → compatible models, target model → suitable GPU, or full service planning with user scaling
- Comprehensive hardware database covering consumer (GeForce RTX), professional (RTX PRO, Quadro), and data-center GPUs (H100, B200, A100)
- Community benchmarking features for real-world performance data sharing
AI Hardware Fit cons
- Interface is Korean-language only, limiting accessibility for non-Korean speakers
- Advanced configurations require understanding of technical specifications (VRAM, bandwidth, quantization, runtime formats)
- No visible documentation or export functionality for generated recommendations
Frequently asked questions about AI Hardware Fit
How do I find what models work with my GPU?
Select your GPU from 146+ presets or enter custom specs; the tool instantly calculates compatible models and expected inference speeds based on VRAM and bandwidth.
What if my GPU isn't in the list?
You can enter specifications directly (VRAM and bandwidth), or submit a request with official product links for the database to include it in the next release.
Can this help me plan an AI service for multiple users?
Yes, the tool has a dedicated workflow where you specify the service type (chatbot, RAG, image, voice), user count, and it provides equipment and cost estimates.
How accurate are the recommendations?
Calculations are based on VRAM and bandwidth specifications. The tool includes community benchmarking data for additional real-world validation.