Raises estimated decode speed by about 140%.
Adds memory headroom for longer context windows and future model growth.
~$10,000 MSRP
Phi 3 Medium 14B needs ~17.6 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~58 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
58.4 tok/s
TTFT
3317 ms
Safe context
128K
Memory
17.6 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 | 58.4 tok/s | 1809 ms | 128K |
| Coding | B | Runs well | 58.4 tok/s | 3317 ms | 128K |
| Agentic Coding | B | Runs well | 58.4 tok/s | 4825 ms | 128K |
| Reasoning | B | Runs well | 58.4 tok/s | 3920 ms | 128K |
| RAG | B | Runs well | 58.4 tok/s | 6031 ms | 128K |
How Phi 3 Medium 14B (14B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C53 |
Q3_K_S | 3 | 6.9 GB | Low | C53 |
NVFP4 | 4 | 7.8 GB | Medium | C53 |
Q4_K_M | 4 | 8.5 GB | Medium | C53 |
Q5_K_M | 5 | 10.1 GB | High | C54 |
Q6_K | 6 | 11.5 GB | High | C54 |
Q8_0 | 8 | 15.0 GB | Very High | B55 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | B59 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:medium升级选项
Yes, Quadro RTX 8000 48GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 58.4 tok/s.
Phi 3 Medium 14B (14B parameters) requires approximately 17.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
On Quadro RTX 8000 48GB, Phi 3 Medium 14B achieves approximately 58.4 tokens per second decode speed with a time-to-first-token of 3317ms using Q4_K_M quantization.
For coding workloads, Phi 3 Medium 14B on Quadro RTX 8000 48GB receives a B grade with 58.4 tok/s and 128K context.
On Quadro RTX 8000 48GB, Phi 3 Medium 14B 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/phi-3-medium-14b-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>
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