Mac Studio M2 Ultra 64GBBudget pick
C84.5 tok/s decode
~$3,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
203.9 tok/s
TTFT
949 ms
Safe context
53K
Memory
12.1 GB / 40.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 203.9 tok/s | 1381 ms | 95K |
| Chat | C | Runs well | 203.9 tok/s | 518 ms | 28K |
| Coding | C | Runs well | 203.9 tok/s | 949 ms | 53K |
| RAG | C | Runs well | 203.9 tok/s | 1726 ms | 95K |
| Reasoning | C | Runs well | 203.9 tok/s | 1122 ms | 53K |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D31 |
Q3_K_S | 3 | 4.4 GB | Low | D32 |
NVFP4 | 4 |
Upgrade options
~$3,999 MSRP
~$3,999 MSRP
5.0 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 5.5 GB | Medium | D32 |
Q5_K_M | 5 | 6.5 GB | High | D33 |
Q6_K | 6 | 7.4 GB | High | D33 |
Q8_0 | 8 | 9.6 GB | Very High | D35 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | D39 |