Raises estimated decode speed by about 140%.
Adds memory headroom for longer context windows and future model growth.
~$10,000 MSRP
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VOOZH | about |
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 | 54.3 tok/s | 4214 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 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumUpgrade options
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 |