GPT-OSS 120B needs ~96.0 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~89 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
Runs well
Decode
96.3 tok/s
TTFT
2011 ms
Safe context
131K
Memory
96.0 GB / 188.0 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 | Runs well | 88.5 tok/s | 1193 ms | 131K |
| Coding | S | Runs well | 88.5 tok/s | 2187 ms | 131K |
| Agentic Coding | S | Runs well | 88.5 tok/s | 3181 ms | 131K |
| Reasoning | S | Runs well | 88.5 tok/s | 2585 ms | 131K |
| RAG | S | Runs well | 88.5 tok/s | 3976 ms | 131K |
How GPT-OSS 120B (117B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 45.6 GB | Low | A81 |
Q3_K_S | 3 | 57.3 GB | Low | A83 |
NVFP4 | 4 |
Copy-paste commands to run GPT-OSS 120B on your machine.
Run
ollama run gpt-oss:120bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 91.6 tok/s | ||
| 122B | S |
Yes, H100 NVL 188GB can run GPT-OSS 120B with a S grade (Runs well). Expected decode speed: 88.5 tok/s.
GPT-OSS 120B (117B parameters) requires approximately 96.0 GB of memory with Q4_K_M quantization.
The recommended quantization for GPT-OSS 120B is Q4_K_M, which balances quality and memory efficiency.
On H100 NVL 188GB, GPT-OSS 120B achieves approximately 88.5 tokens per second decode speed with a time-to-first-token of 2187ms using Q4_K_M quantization.
For coding workloads, GPT-OSS 120B on H100 NVL 188GB receives a S grade with 88.5 tok/s and 131K context.
On H100 NVL 188GB, GPT-OSS 120B can safely use up to 131K 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/gpt-oss-120b-on-h100-nvl-188gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
65.5 GB |
| Medium |
| A84 |
Q4_K_M | 4 | 71.4 GB | Medium | A84 |
Q5_K_M | 5 | 84.2 GB | High | S86 |
Q6_K | 6 | 95.9 GB | High | S87 |
Q8_0Best for your GPU | 8 | 125.2 GB | Very High | S88 |
F16 | 16 | 239.8 GB | Maximum | F0 |
| 254 tok/s |
| 284B | S | 136.1 tok/s |
| 119B | S | 275.4 tok/s |