Nemotron Nano 9B v2 needs ~11.5 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~62 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
66.8 tok/s
TTFT
2897 ms
Safe context
98K
Memory
11.5 GB / 24.0 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 | 66.8 tok/s | 1580 ms | 98K |
| Coding | A | Runs well | 62.2 tok/s | 3114 ms | 98K |
| Agentic Coding | A | Runs well | 66.8 tok/s | 4214 ms | 98K |
| Reasoning | A | Runs well | 66.8 tok/s | 3424 ms | 98K |
| RAG | A | Runs well | 66.8 tok/s | 5267 ms | 98K |
How Nemotron Nano 9B v2 (9B params) fits at each quantization level on RTX 4500 Ada 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 | 51.6 tok/s | ||
| 27B | S | 22.4 tok/s |
Yes, RTX 4500 Ada 24GB can run Nemotron Nano 9B v2 with a A grade (Runs well). Expected decode speed: 62.2 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 RTX 4500 Ada 24GB, Nemotron Nano 9B v2 achieves approximately 62.2 tokens per second decode speed with a time-to-first-token of 3114ms using Q4_K_M quantization.
For coding workloads, Nemotron Nano 9B v2 on RTX 4500 Ada 24GB receives a A grade with 62.2 tok/s and 98K context.
On RTX 4500 Ada 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-rtx-4500-ada-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 | 22.4 tok/s |
| 30B | S | 53.4 tok/s |
| 35B | A | 28.9 tok/s |