AMD Instinct MI350X 288GBBudget pick
B108.7 tok/s decode
~$8,000 MSRP
Can it run?
Very compromised
Using Q4_K_M in llama.cpp
Fit status
Very compromised
Decode
57.3 tok/s
TTFT
3380 ms
Safe context
14K
Memory
161.8 GB / 141.0 GB
Offload
10%
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Very compromised (needs ~21 GB host RAM) | 69.5 tok/s | 4050 ms | 27K |
| Chat | C | Very compromised (needs ~17.1 GB host RAM) | 70.6 tok/s | 1497 ms | 7K |
| Coding | C | Very compromised | 57.3 tok/s | 3380 ms | 14K |
| RAG | C | Very compromised (needs ~21 GB host RAM) | 69.5 tok/s | 5063 ms | 27K |
| Reasoning | C | Very compromised (needs ~18.4 GB host RAM) | 70.2 tok/s |
How Qwen 3 235B A22B (235B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_KBest for your GPU | 2 | 91.7 GB | Low | C43 |
Q3_K_S | 3 | 115.2 GB | Low | C45 |
huggingface-cli download qwen-3-235b-a22bUpgrade options
~$8,000 MSRP
~$15,000 MSRP
| 3259 ms |
| 14K |
| 4 |
131.6 GB |
| Medium |
| C45 |
Q4_K_M | 4 | 143.4 GB | Medium | F0 |
Q5_K_M | 5 | 169.2 GB | High | F0 |
Q6_K | 6 | 192.7 GB | High | F0 |
Q8_0 | 8 | 251.5 GB | Very High | F0 |
F16 | 16 | 481.7 GB | Maximum | F0 |