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Detailed specifications, benchmarks, and buying advice for the best GPUs for local AI.
Professional-grade RTX 5090 with 96GB GDDR7 VRAM for massive AI model training and inference. Supports full unquantized 70B+ models on a single card.
Next-gen flagship consumer GPU with 32GB GDDR7. Ideal for 70B Q4 models, video generation, and professional creative work.
The current gold standard for local AI. 24GB GDDR6X VRAM runs 70B Q4 models, FLUX.1, and most video generation models.
The best value-for-VRAM card. 24GB GDDR6X can be found used for $900-1,100. Runs 70B Q4 models at reasonable speed.
The entry-level AI GPU. 12GB GDDR6 fits 7B Q4 models comfortably. Can be found used for $180-280.
NVIDIA RTX PRO 6000 with 96GB GDDR7 — the ultimate workstation GPU for AI professionals. Run massive models, render complex scenes, and train at scale on a single card.
MSI Phantom RTX 5070 12GB GDDR7 — next-gen mid-range card with DLSS 4 and Blackwell architecture. Great for 7B Q4 models, image generation, and AI-assisted creative work.
ASUS TUF Gaming RTX 4070 12GB GDDR6X — proven mid-range workhorse. Excellent for Stable Diffusion, Ollama, and 7B LLM inference at a reasonable price.
Intel Arc A750E 16GB MXM 3.1 Type B module — specialized edge computing GPU for AI inference at the edge. 16GB ECC memory in a compact form factor.