Llama 3.1 8B needs ~12.8 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~95 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
102.1 tok/s
TTFT
1895 ms
Safe context
128K
Memory
12.8 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 | 102.1 tok/s | 1034 ms | 128K |
| Coding | B | Runs well | 95.0 tok/s | 2038 ms | 128K |
| Agentic Coding | B | Runs well | 102.1 tok/s | 2757 ms | 128K |
| Reasoning | B | Runs well | 102.1 tok/s | 2240 ms | 128K |
| RAG | B | Runs well | 102.1 tok/s | 3446 ms | 128K |
How Llama 3.1 8B (8B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | B62 |
Q3_K_S | 3 | 3.9 GB | Low | B63 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.1 8B on your machine.
Run
ollama run llama3.1Yes, Quadro RTX 8000 48GB can run Llama 3.1 8B with a B grade (Runs well). Expected decode speed: 95.0 tok/s.
Llama 3.1 8B (8B parameters) requires approximately 12.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 3.1 8B is Q4_K_M, which balances quality and memory efficiency.
On Quadro RTX 8000 48GB, Llama 3.1 8B achieves approximately 95.0 tokens per second decode speed with a time-to-first-token of 2038ms using Q4_K_M quantization.
For coding workloads, Llama 3.1 8B on Quadro RTX 8000 48GB receives a B grade with 95.0 tok/s and 128K context.
On Quadro RTX 8000 48GB, Llama 3.1 8B can safely use up to 128K tokens of context. The model's official context limit is 128K, 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/llama-3.1-8b-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:
4.5 GB |
| Medium |
| B63 |
Q4_K_M | 4 | 4.9 GB | Medium | B63 |
Q5_K_M | 5 | 5.8 GB | High | B63 |
Q6_K | 6 | 6.6 GB | High | B63 |
Q8_0 | 8 | 8.6 GB | Very High | B63 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | B66 |