NVIDIA
Graphics CardsIndustry leader in AI-accelerated GPUs. The GeForce RTX series is the most widely used hardware for local AI at home.
Partnership Registry v2.4
Hardware
Partners
The brands and components our tools recommend most often. Every recommendation is based on VRAM capacity, AI benchmark performance, and community feedback — not advertising relationships.
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AMD
Graphics CardsAMD RX 7000 series GPUs offer competitive VRAM capacity and ROCm support for PyTorch-based AI workflows.
Crucial
RAM & StorageReliable DDR4 and DDR5 memory for AI workstations. Crucial NVMe drives provide fast model loading speeds.
Samsung
NVMe StorageSamsung 990 Pro and 970 EVO drives are popular choices for storing large language models (40–140GB model files).
Corsair
RAM & CoolingHigh-performance DDR5 kits and CPU coolers for AI workstation builds that run inference for extended periods.
ASUS
Graphics Cards & MotherboardsASUS ROG and TUF GPU lines with reliable cooling for sustained AI inference loads. Popular in the RunAIatHome community.
Find the right component for your build
Use the Hardware Wizard to get a full build recommendation based on your use case and budget, or compare individual GPUs with the GPU Comparator.
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