Gemma 2 9B needs ~16.6 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~89 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
88.7 tok/s
TTFT
2183 ms
Safe context
8K
Memory
16.6 GB / 48.0 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 | B | Runs well | 88.7 tok/s | 1191 ms | 8K |
| Coding | B | Runs well | 88.7 tok/s | 2183 ms | 8K |
| Agentic Coding | B | Runs well | 88.7 tok/s | 3175 ms | 8K |
| Reasoning | B | Runs well | 88.7 tok/s | 2580 ms | 8K |
| RAG | B | Runs well | 88.7 tok/s | 3969 ms | 8K |
How Gemma 2 9B (9B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B56 |
Q3_K_S | 3 | 4.4 GB | Low | B56 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 2 9B on your machine.
Run
ollama run gemma2Yes, Quadro RTX 8000 48GB can run Gemma 2 9B with a B grade (Runs well). Expected decode speed: 88.7 tok/s.
Gemma 2 9B (9B parameters) requires approximately 16.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 2 9B is Q4_K_M, which balances quality and memory efficiency.
On Quadro RTX 8000 48GB, Gemma 2 9B achieves approximately 88.7 tokens per second decode speed with a time-to-first-token of 2183ms using Q4_K_M quantization.
For coding workloads, Gemma 2 9B on Quadro RTX 8000 48GB receives a B grade with 88.7 tok/s and 8K context.
On Quadro RTX 8000 48GB, Gemma 2 9B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/gemma-2-9b-on-quadro-rtx-8000-48gb" 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 |
| B56 |
Q4_K_M | 4 | 5.5 GB | Medium | B56 |
Q5_K_M | 5 | 6.5 GB | High | B56 |
Q6_K | 6 | 7.4 GB | High | B57 |
Q8_0 | 8 | 9.6 GB | Very High | B57 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B60 |