Mac Studio M3 Ultra 256GBOpción económica
256 GB Unified (+76)
B
Este setup está bastante equilibrado para este modelo.70.1 tok/s decodificación
~$6,999 MSRP
Can Phi 3 Medium 14B run on NVIDIA B200 180GB?
YES — Runs Great
B57Good
Estimated from fit model
Phi 3 Medium 14B needs ~30.8 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~196 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
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
Q4_K_M (Medium quality) — 30.8 GB, 196.0 tok/s, Runs well
30.8 GB required180.0 GB available
17% VRAM used
Fit status
Runs well
Decode
196.0 tok/s
TTFT
988 ms
Safe context
128K
Memory
30.8 GB / 180.0 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom18.0 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B on NVIDIA B200 180GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 196.0 tok/s decode · 988ms TTFT (warm) · 490 tok/s prefill
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 | 196.0 tok/s | 539 ms | 128K |
| Coding | B | Runs well | 196.0 tok/s | 988 ms | 128K |
| Agentic Coding | B | Runs well | 196.0 tok/s | 1437 ms | 128K |
| Reasoning | B | Runs well | 196.0 tok/s | 1167 ms | 128K |
| RAG | B | Runs well | 196.0 tok/s | 1796 ms | 128K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C48 |
Q3_K_S | 3 | 6.9 GB | Low | C48 |
NVFP4 | 4 | 7.8 GB | Medium | C48 |
Q4_K_M | 4 | 8.5 GB | Medium | C48 |
Q5_K_M | 5 | 10.1 GB | High | C48 |
Q6_K | 6 | 11.5 GB | High | C48 |
Q8_0 | 8 | 15.0 GB | Very High | C48 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C50 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumOpciones de mejora
Hardware que ejecuta bien Phi 3 Medium 14B
Frequently asked questions
Can NVIDIA B200 180GB run Phi 3 Medium 14B?
Yes, NVIDIA B200 180GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 196.0 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 30.8 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi 3 Medium 14B?
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi 3 Medium 14B run at on NVIDIA B200 180GB?
On NVIDIA B200 180GB, Phi 3 Medium 14B achieves approximately 196.0 tokens per second decode speed with a time-to-first-token of 988ms using Q4_K_M quantization.
Can NVIDIA B200 180GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on NVIDIA B200 180GB receives a B grade with 196.0 tok/s and 128K context.
What context window can Phi 3 Medium 14B use on NVIDIA B200 180GB?
On NVIDIA B200 180GB, 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.
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