Can Phi 3 Medium 14B run on RTX A6000 48GB?
YES — Runs Great
Phi 3 Medium 14B needs ~17.6 GB VRAM. RTX A6000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~68 tok/s.
Operating mode
Choose the run profile you care about
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
73.5 tok/s
TTFT
2635 ms
Safe context
128K
Memory
17.6 GB / 48.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 68.3 tok/s | 1545 ms | 128K |
| Coding | B | Runs well | 68.3 tok/s | 2833 ms | 128K |
| Agentic Coding | B | Runs well | 68.3 tok/s | 4120 ms | 128K |
| Reasoning | B | Runs well | 68.3 tok/s | 3348 ms | 128K |
| RAG | B | Runs well | 68.3 tok/s | 5150 ms | 128K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on RTX A6000 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 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:medium