Nemotron Nano 9B v2 needs ~11.5 GB VRAM. Quadro RTX 6000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~85 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
90.8 tok/s
TTFT
2132 ms
Safe context
98K
Memory
11.5 GB / 24.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 90.8 tok/s | 1163 ms | 98K |
| Coding | A | Runs well | 84.5 tok/s | 2292 ms | 98K |
| Agentic Coding | A | Runs well | 90.8 tok/s | 3102 ms | 98K |
| Reasoning | A | Runs well | 90.8 tok/s | 2520 ms | 98K |
| RAG | A | Runs well | 90.8 tok/s | 3877 ms | 98K |
How Nemotron Nano 9B v2 (9B params) fits at each quantization level on Quadro RTX 6000 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | A74 |
Q3_K_S | 3 | 4.4 GB | Low | A75 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron Nano 9B v2 on your machine.
Run
ollama run nemotron-nano:9b-v2Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 70.1 tok/s | ||
| 27B | S | 30.4 tok/s |
Yes, Quadro RTX 6000 24GB can run Nemotron Nano 9B v2 with a A grade (Runs well). Expected decode speed: 84.5 tok/s.
Nemotron Nano 9B v2 (9B parameters) requires approximately 11.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Nano 9B v2 is Q4_K_M, which balances quality and memory efficiency.
On Quadro RTX 6000 24GB, Nemotron Nano 9B v2 achieves approximately 84.5 tokens per second decode speed with a time-to-first-token of 2292ms using Q4_K_M quantization.
For coding workloads, Nemotron Nano 9B v2 on Quadro RTX 6000 24GB receives a A grade with 84.5 tok/s and 98K context.
On Quadro RTX 6000 24GB, Nemotron Nano 9B v2 can safely use up to 98K 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-nano-9b-v2-on-quadro-rtx-6000-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| A75 |
Q4_K_M | 4 | 5.5 GB | Medium | A75 |
Q5_K_M | 5 | 6.5 GB | High | A76 |
Q6_K | 6 | 7.4 GB | High | A76 |
Q8_0 | 8 | 9.6 GB | Very High | A78 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A79 |
| 27B | S | 30.5 tok/s |
| 30B | S | 72.5 tok/s |
| 35B | A | 37.9 tok/s |