GPU buying links

Current graphics cards for local AI and creator work.

Start with memory capacity and software compatibility, then compare power, cooling and price. Every Amazon button below is an affiliate link.

Affiliate disclosure: As an Amazon Associate, OutOfAI may earn from qualifying purchases made through these links, at no added cost to the buyer. Prices, sellers and availability can change. The Amazon tag used is outofai-20; confirm that it belongs to your active Associates account before publishing.

NVIDIA GeForce RTX 50 Series

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GeForce RTX 5090

32 GB GDDR7. Flagship consumer option for large local models, high-end creation and heavy CUDA workloads.

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GeForce RTX 5080

16 GB GDDR7. High-end Blackwell option for creators and local AI projects that fit within 16 GB.

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GeForce RTX 5070 Ti

16 GB GDDR7. A more accessible 16 GB option for local inference, creative work and development.

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GeForce RTX 5070

12 GB GDDR7. Current-generation choice for lighter local models and general creator workloads.

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GeForce RTX 5060 Ti 16 GB

16 GB GDDR7. Memory-focused lower-cost option; verify that the listing is the 16 GB version.

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AMD Radeon RX 9000 Series

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Radeon RX 9070 XT

16 GB GDDR6. RDNA 4 card with 128 AI accelerators; confirm ROCm or application support first.

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Radeon RX 9070

16 GB GDDR6. Lower-power RDNA 4 alternative with the same memory capacity.

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Radeon RX 9060 XT 16 GB

16 GB GDDR6. Value-oriented current AMD option; avoid confusing it with the 8 GB model.

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Intel Arc B-Series

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Intel Arc B580

12 GB GDDR6. Affordable card with XMX AI engines and broad media support; verify workload compatibility.

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Intel Arc B570

10 GB GDDR6. Entry B-series option for lighter creation, gaming and supported AI applications.

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Buying rule: for local generative AI, VRAM capacity often determines what can run. NVIDIA generally has the broadest CUDA software support; AMD and Intel can be strong values where the intended software explicitly supports them. Read the GPU buying guide and workstation guide before ordering.