Can I Run DeepSeek V3.2 on Apple M2 Ultra?

作者: Jakub Rusinowski · 最后更新: 2026年7月12日

No — DeepSeek V3.2 671B at Q4_K_M needs 414.9 GB at 8K context (413.6 GB weights + 1.3 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~270.9 GB short.

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Apple M2 Ultra Specs

VRAM192 GB unified memory
Memory Bandwidth800 GB/s

DeepSeek V3.2 671B on the Apple M2 Ultra: VRAM by quantization

QuantVRAM neededFits 192 GB?Max contextWhole PC
F161371.4 GB✗ No——
Q8_0729.2 GB✗ No——
Q6_K563.1 GB✗ No——
Q5_K_M486.9 GB✗ No——
Q4_K_M414.9 GB✗ No——
Q3_K_M293.4 GB✗ No——
Q2_K226.6 GB✗ No——

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 192 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the Apple M2 Ultra: 8K 414.9 GB ✗ · 32K 416.7 GB ✗ · 125K 423.4 GB ✗. Past 8K it no longer fits 192 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

Why It Does Not Fit

Every DeepSeek V3.2 variant requires more VRAM than the Apple M2 Ultra provides (192 GB).

Won't fit — rent DeepSeek V3.2 instead

DeepSeek V3.2 needs ~415 GB but this GPU has 192 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:

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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the Apple M2 Ultra enough to run DeepSeek V3.2 locally?

No — DeepSeek V3.2 671B at Q4_K_M needs 414.9 GB at 8K context (413.6 GB weights + 1.3 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~270.9 GB short.

Popular Models on the Apple M2 Ultra

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← Can I Run It? | DeepSeek V3.2 Model Page | Apple M2 Ultra GPU Page | VRAM calculator | Check Your Hardware