Phi 3 Medium 14B needs ~16.8 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~153 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
164.4 tok/s
TTFT
1177 ms
Safe context
128K
Memory
16.8 GB / 40.0 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 164.4 tok/s | 642 ms | 128K |
| Coding | B | Runs well | 153.0 tok/s | 1266 ms | 128K |
| Agentic Coding | B | Runs well | 164.4 tok/s | 1713 ms | 128K |
| Reasoning | B | Runs well | 164.4 tok/s | 1392 ms | 128K |
| RAG | B | Runs well | 164.4 tok/s | 2141 ms | 128K |
How Phi 3 Medium 14B (14B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C54 |
Q3_K_S | 3 | 6.9 GB | Low | C54 |
NVFP4 | 4 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumYes, NVIDIA A100 40GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 153.0 tok/s.
Phi 3 Medium 14B (14B parameters) requires approximately 16.8 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 NVIDIA A100 40GB, Phi 3 Medium 14B achieves approximately 153.0 tokens per second decode speed with a time-to-first-token of 1266ms using Q4_K_M quantization.
For coding workloads, Phi 3 Medium 14B on NVIDIA A100 40GB receives a B grade with 153.0 tok/s and 128K context.
On NVIDIA A100 40GB, 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-a100-40gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| C54 |
Q4_K_M | 4 | 8.5 GB | Medium | C55 |
Q5_K_M | 5 | 10.1 GB | High | B55 |
Q6_K | 6 | 11.5 GB | High | B56 |
Q8_0 | 8 | 15.0 GB | Very High | B57 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | B59 |