AMD Instinct MI350X 288GBBudget pick
C1063.8 tok/s decode
~$8,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
47.4 tok/s
TTFT
4088 ms
Safe context
67K
Memory
21.9 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 47.4 tok/s | 5946 ms | 126K |
| Chat | C | Runs well | 47.4 tok/s | 2230 ms | 35K |
| Coding | C | Runs well | 47.4 tok/s | 4088 ms | 67K |
| RAG | C | Runs well | 47.4 tok/s | 7433 ms | 126K |
| Reasoning | C | Runs well | 47.4 tok/s | 4831 ms | 67K |
How Qwen3.5 9B (9B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D30 |
Q3_K_S | 3 | 4.4 GB | Low | D30 |
NVFP4 | 4 |
huggingface-cli download hf-lmstudio-community--qwen3-5-9b-ggufUpgrade options
~$8,000 MSRP
~$15,000 MSRP
5.0 GB |
| Medium |
| D31 |
Q4_K_M | 4 | 5.5 GB | Medium | D31 |
Q5_K_M | 5 | 6.5 GB | High | D31 |
Q6_K | 6 | 7.4 GB | High | D31 |
Q8_0 | 8 | 9.6 GB | Very High | D32 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | D34 |