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No. DeepSeek V3.1 671B (MoE) does not fit on Mac Studio M5 Ultra (80c GPU) 256GB: Q4_K_M needs 406.4 GB and 192.0 GB is usable.
Hardware: Mac Studio M5 Ultra (80c GPU) 256GB · Model: DeepSeek V3.1 671B (MoE)
Mac Studio M5 Ultra (80c GPU) 256GB has 256 GB of unified memory and 1200 GB/s of memory bandwidth. Mac Studio M5 Ultra (64c GPU) 256GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M5 Ultra (80c GPU) 256GB. The checker leaves macOS a share of unified memory, so Ollama can use 192.0 GB. DeepSeek V3.1 671B (MoE) (671B, 37B active, DeepSeek) at Q4_K_M is a 404 GB download and needs 406.4 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 404 GB |
| Memory needed | 406.4 GB |
| Usable fast memory | 192.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run deepseek-v3.1:671b |
Smallest hardware that runs it: Mac Studio M3 Ultra (80c GPU) 512GB at Q4_K_M (fits if the Mac GPU limit is raised, 406.4 GB needed, 384.0 GB usable, about 15 tok/s (estimate)). Can a Mac Studio M3 Ultra (80c GPU) 512GB run DeepSeek V3.1 671B (MoE)?
A smaller DeepSeek model that fits this hardware: DeepSeek R1 Distill Llama 70B at Q8_0 (fits in fast memory, 79.1 GB). Can a Mac Studio M5 Ultra (80c GPU) 256GB run DeepSeek R1 Distill Llama 70B?
Open Mac Studio M5 Ultra (80c GPU) 256GB in the checkerEstimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
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