Nemotron 70B needs ~56.5 GB VRAM. NVIDIA H800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~57 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
61.9 tok/s
TTFT
3128 ms
Safe context
93K
Memory
56.5 GB / 80.0 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 | 61.9 tok/s | 1706 ms | 93K |
| Coding | A | Runs well | 56.9 tok/s | 3402 ms | 93K |
| Agentic Coding | A | Runs well | 61.9 tok/s | 4550 ms | 93K |
| Reasoning | A | Runs well | 61.9 tok/s | 3697 ms | 93K |
| RAG | A | Runs well | 61.9 tok/s | 5688 ms | 93K |
How Nemotron 70B (70B params) fits at each quantization level on NVIDIA H800 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | B65 |
Q3_K_S | 3 | 34.3 GB | Low | B67 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron 70B on your machine.
Run
ollama run nemotronYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | A | 25.1 tok/s | ||
| 122B | S |
Yes, NVIDIA H800 80GB can run Nemotron 70B with a A grade (Runs well). Expected decode speed: 56.9 tok/s.
Nemotron 70B (70B parameters) requires approximately 56.5 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 H800 80GB, Nemotron 70B achieves approximately 56.9 tokens per second decode speed with a time-to-first-token of 3402ms using Q4_K_M quantization.
For coding workloads, Nemotron 70B on NVIDIA H800 80GB receives a A grade with 56.9 tok/s and 93K context.
On NVIDIA H800 80GB, Nemotron 70B can safely use up to 93K 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-h800-80gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| B69 |
Q4_K_M | 4 | 42.7 GB | Medium | B69 |
Q5_K_M | 5 | 50.4 GB | High | B69 |
Q6_KBest for your GPU | 6 | 57.4 GB | High | B69 |
Q8_0 | 8 | 74.9 GB | Very High | F0 |
F16 | 16 | 143.5 GB | Maximum | F0 |
| 74.3 tok/s |
| 119B | A | 78.9 tok/s |
| 117B | A | 28.5 tok/s |
| 111B | S | 33.1 tok/s |