AMD Instinct MI350X 288GBBudget pick
C130.3 tok/s decode
~$8,000 MSRP
Can it run?
Runs well
Using Q4_K_M in llama.cpp
Fit status
Runs well
Decode
11.9 tok/s
TTFT
16305 ms
Safe context
24K
Memory
120.7 GB / 184.3 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 11.9 tok/s | 23717 ms | 47K |
| Chat | C | Runs well | 11.9 tok/s | 8894 ms | 13K |
| Coding | C | Runs well | 11.9 tok/s | 16305 ms | 24K |
| RAG | C | Runs well | 11.9 tok/s | 29646 ms | 47K |
| Reasoning | C | Runs well | 11.9 tok/s | 19270 ms | 24K |
How Mixtral 8x22B (141B params) fits at each quantization level on Mac Studio M3 Ultra 256GB (184.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 55.0 GB | Low | D36 |
Q3_K_S | 3 | 69.1 GB | Low | D38 |
NVFP4 | 4 |
ollama run mixtral-8x22bhuggingface-cli download mixtral-8x22bUpgrade options
~$8,000 MSRP
~$15,000 MSRP
79.0 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 86.0 GB | Medium | D40 |
Q5_K_M | 5 | 101.5 GB | High | C41 |
Q6_K | 6 | 115.6 GB | High | C43 |
Q8_0Best for your GPU | 8 | 150.9 GB | Very High | C45 |
F16 | 16 | 289.0 GB | Maximum | F0 |