Nemotron 70B needs ~66.5 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~157 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
171.1 tok/s
TTFT
1131 ms
Safe context
131K
Memory
66.5 GB / 180.0 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 | A | Runs well | 171.1 tok/s | 617 ms | 131K |
| Coding | A | Runs well | 157.4 tok/s | 1230 ms | 131K |
| Agentic Coding | A | Runs well | 171.1 tok/s | 1645 ms | 131K |
| Reasoning | A | Runs well | 171.1 tok/s | 1337 ms | 131K |
| RAG | A | Runs well | 171.1 tok/s | 2057 ms | 131K |
How Nemotron 70B (70B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | B60 |
Q3_K_S | 3 | 34.3 GB | Low | B61 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron 70B on your machine.
Run
ollama run nemotronYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 97.4 tok/s | ||
| 122B | S |
Yes, NVIDIA B200 180GB can run Nemotron 70B with a A grade (Runs well). Expected decode speed: 157.4 tok/s.
Nemotron 70B (70B parameters) requires approximately 66.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron 70B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA B200 180GB, Nemotron 70B achieves approximately 157.4 tokens per second decode speed with a time-to-first-token of 1230ms using Q4_K_M quantization.
For coding workloads, Nemotron 70B on NVIDIA B200 180GB receives a A grade with 157.4 tok/s and 131K context.
On NVIDIA B200 180GB, Nemotron 70B 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/nemotron-70b-on-b200-180gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
39.2 GB |
| Medium |
| B62 |
Q4_K_M | 4 | 42.7 GB | Medium | B62 |
Q5_K_M | 5 | 50.4 GB | High | B63 |
Q6_K | 6 | 57.4 GB | High | B64 |
Q8_0 | 8 | 74.9 GB | Very High | B66 |
F16Best for your GPU | 16 | 143.5 GB | Maximum | B69 |
| 270.2 tok/s |
| 284B | S | 144.8 tok/s |
| 119B | S | 292.9 tok/s |
| 117B | S | 102.4 tok/s |