AMD Instinct MI350X 288GBBudget pick
C40.7 tok/s decode
~$8,000 MSRP
Can it run?
Runs with offload
Using Q4_K_M in Ollama
Fit status
Runs with offload
Decode
38.7 tok/s
TTFT
5687 ms
Safe context
15K
Memory
200.5 GB / 192.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 46.9 tok/s | 6007 ms | 26K |
| Chat | C | Tight fit | 46.9 tok/s | 2253 ms | 8K |
| Coding | C | Runs with offload | 38.7 tok/s | 5687 ms | 15K |
| RAG | F | Too heavy | 46.9 tok/s | 7509 ms | 26K |
| Reasoning | C | Runs with offload (needs ~6.1 GB host RAM) | 45.9 tok/s | 4986 ms | 15K |
How Baichuan M3 235B i1 (235B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 91.7 GB | Low | D39 |
Q3_K_S | 3 | 115.2 GB | Low | C42 |
NVFP4 | 4 |
Upgrade options
~$8,000 MSRP
131.6 GB |
| Medium |
| C43 |
Q4_K_MBest for your GPU | 4 | 143.4 GB | Medium | C44 |
Q5_K_M | 5 | 169.2 GB | High | C44 |
Q6_K | 6 | 192.7 GB | High | F0 |
Q8_0 | 8 | 251.5 GB | Very High | F0 |
F16 | 16 | 481.7 GB | Maximum | F0 |