Qwen 3.5 122B A10B needs ~87.4 GB VRAM. NVIDIA GH200 96GB has 96.0 GB. With Q4_K_M quantization, expect ~130 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
130.3 tok/s
TTFT
1486 ms
Safe context
73K
Memory
87.4 GB / 96.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Tight fit | 130.3 tok/s | 811 ms | 73K |
| Coding | S | Tight fit | 130.3 tok/s | 1486 ms | 73K |
| Agentic Coding | S | Tight fit | 119.1 tok/s | 2365 ms | 73K |
| Reasoning | S | Tight fit | 130.3 tok/s | 1757 ms | 73K |
| RAG | S | Tight fit | 130.3 tok/s | 2702 ms | 73K |
How Qwen 3.5 122B A10B (122B params) fits at each quantization level on NVIDIA GH200 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 47.6 GB | Low | S90 |
Q3_K_S | 3 | 59.8 GB | Low | S90 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3.5 122B A10B on your machine.
Run
lms load Qwen3.5-122B-A10B-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 47 tok/s |
Yes, NVIDIA GH200 96GB can run Qwen 3.5 122B A10B with a S grade (Tight fit). Expected decode speed: 130.3 tok/s.
Qwen 3.5 122B A10B (122B parameters) requires approximately 87.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.5 122B A10B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA GH200 96GB, Qwen 3.5 122B A10B achieves approximately 130.3 tokens per second decode speed with a time-to-first-token of 1486ms using Q4_K_M quantization.
For coding workloads, Qwen 3.5 122B A10B on NVIDIA GH200 96GB receives a S grade with 130.3 tok/s and 73K context.
On NVIDIA GH200 96GB, Qwen 3.5 122B A10B can safely use up to 73K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3.5-122b-a10b-on-gh200-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
68.3 GB |
| Medium |
| S90 |
Q4_K_MBest for your GPU | 4 | 74.4 GB | Medium | S90 |
Q5_K_M | 5 | 87.8 GB | High | F0 |
Q6_K | 6 | 100.0 GB | High | F0 |
Q8_0 | 8 | 130.5 GB | Very High | F0 |
F16 | 16 | 250.1 GB | Maximum | F0 |