NVIDIA H200 141GBBudget pickC91.8 tok/s decode
~$30,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
49.5 tok/s
TTFT
3908 ms
Safe context
30K
Memory
69.2 GB / 128.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 49.5 tok/s | 5684 ms | 51K |
| Chat | C | Runs well | 49.5 tok/s | 2131 ms | 16K |
| Coding | C | Runs well | 49.5 tok/s | 3908 ms | 30K |
| RAG | C | Runs well | 49.5 tok/s | 7105 ms | 51K |
| Reasoning | C | Runs well | 49.5 tok/s | 4618 ms | 30K |
How Qwen 2.5 72B (72B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | D34 |
Q3_K_S | 3 | 35.3 GB | Low | D35 |
NVFP4 | 4 |
ollama run qwen-2.5-72bhuggingface-cli download qwen-2.5-72bUpgrade options
NVIDIA H200 141GBBudget pick~$30,000 MSRP
NVIDIA H200 PCIe 141GBBest value~$30,000 MSRP
40.3 GB |
| Medium |
| D36 |
Q4_K_M | 4 | 43.9 GB | Medium | D37 |
Q5_K_M | 5 | 51.8 GB | High | D38 |
Q6_K | 6 | 59.0 GB | High | D39 |
Q8_0Best for your GPU | 8 | 77.0 GB | Very High | C42 |
F16 | 16 | 147.6 GB | Maximum | F0 |