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What GPU do you need to run DeepSeek-R1-Distill-Qwen-32B?

32.76B parameters (Hugging Face, accessed 2026-10-15). Q4_K_M GGUF: 19.85 GB (source).

Single GPU that fitsVRAMSpeed estimatePrice
NVIDIA GeForce RTX 409024 GB~39 tok/slow $3,200, avg $4,663 (used) source, 2026-10-16
NVIDIA GeForce RTX 3090 Ti24 GB~39 tok/scheck price
NVIDIA GeForce RTX 309024 GB~36 tok/slow $1,889, avg $2,404 (used) source, 2026-10-16
AMD Radeon RX 7900 XTX24 GB~37 tok/slow $1,350, avg $1,552 (new) source, 2026-10-16
NVIDIA Tesla P4024 GB~13 tok/scheck price
NVIDIA GeForce RTX 509032 GB~69 tok/slow $6,500, avg $8,757 (new) source, 2026-10-16
AMD Radeon AI PRO R970032 GB~25 tok/scheck price
Apple Mac Studio M5 Max (32-core GPU, 36 GB)36 GB~18 tok/slow $2,499 (new) source, 2026-10-16
NVIDIA RTX A600048 GB~29 tok/slow $6,170 (new) source, 2026-10-16
NVIDIA RTX 6000 Ada Generation48 GB~37 tok/scheck price
Apple Mac Studio M5 Max (40-core GPU, 64 GB)64 GB~24 tok/scheck price
Apple Mac Studio M5 Ultra (64-core GPU, 96 GB)96 GB~46 tok/scheck price
Framework Desktop, AMD Ryzen AI Max+ PRO 495 (Strix Halo), 192 GB192 GB~10 tok/slow $6,799 (new) source, 2026-10-16

Speed calculator estimate

Estimate = 0.76 × bandwidth ÷ GB read per token (Q4 file size, scaled by active/total parameters for MoE). Fit = file size + 1.5 GB headroom ≤ total VRAM. Multi-GPU: VRAM adds, speed uses one card's bandwidth (layer split). Short context only. How this works

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