Nemotron Nano 9B v2 needs ~13.9 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~106 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
106.3 tok/s
TTFT
1821 ms
Safe context
131K
Memory
13.9 GB / 48.0 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 | 106.3 tok/s | 993 ms | 131K |
| Coding | A | Runs well | 106.3 tok/s | 1821 ms | 131K |
| Agentic Coding | A | Runs well | 106.3 tok/s | 2649 ms | 131K |
| Reasoning | A | Runs well | 106.3 tok/s | 2152 ms | 131K |
| RAG | A | Runs well | 106.3 tok/s | 3311 ms | 131K |
How Nemotron Nano 9B v2 (9B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | A71 |
Q3_K_S | 3 | 4.4 GB | Low | A71 |
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 | 82.1 tok/s | ||
| 27B | S | 35.6 tok/s |
Yes, NVIDIA A40 48GB can run Nemotron Nano 9B v2 with a A grade (Runs well). Expected decode speed: 106.3 tok/s.
Nemotron Nano 9B v2 (9B parameters) requires approximately 13.9 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 NVIDIA A40 48GB, Nemotron Nano 9B v2 achieves approximately 106.3 tokens per second decode speed with a time-to-first-token of 1821ms using Q4_K_M quantization.
For coding workloads, Nemotron Nano 9B v2 on NVIDIA A40 48GB receives a A grade with 106.3 tok/s and 131K context.
On NVIDIA A40 48GB, Nemotron Nano 9B v2 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-nano-9b-v2-on-a40-48gb" 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 |
| A71 |
Q4_K_M | 4 | 5.5 GB | Medium | A71 |
Q5_K_M | 5 | 6.5 GB | High | A71 |
Q6_K | 6 | 7.4 GB | High | A72 |
Q8_0 | 8 | 9.6 GB | Very High | A72 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A75 |
| 27B | S | 35.7 tok/s |
| 35B | S | 69 tok/s |
| 30B | S | 84.9 tok/s |