RTX 3090 24GBOpción económica24 GB VRAM (+4)936 GB/s (+576)
B
Sube la velocidad estimada de decodificación alrededor de un 134%.82.5 tok/s decodificación
Sube la velocidad estimada de decodificación alrededor de un 134%.
~$1,499 MSRP
Can Phi 3 Medium 14B run on RTX 4000 Ada 20GB?
YES — Runs Great
B65Good
Estimated from fit model
Phi 3 Medium 14B needs ~14.8 GB VRAM. RTX 4000 Ada 20GB has 20.0 GB. With Q4_K_M quantization, expect ~35 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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) — 14.8 GB, 35.3 tok/s, Runs well
14.8 GB required20.0 GB available
74% VRAM used
Fit status
Runs well
Decode
35.3 tok/s
TTFT
5477 ms
Safe context
43K
Memory
14.8 GB / 20.0 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom2.0 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B on RTX 4000 Ada 20GB
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: 35.3 tok/s decode · 5.5s TTFT (warm) · 88 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 | 35.3 tok/s | 2988 ms | 43K |
| Coding | B | Runs well | 35.3 tok/s | 5477 ms | 43K |
| Agentic Coding | B | Tight fit | 35.3 tok/s | 7967 ms | 43K |
| Reasoning | B | Runs well | 35.3 tok/s | 6473 ms | 43K |
| RAG | B | Tight fit | 35.3 tok/s | 9959 ms | 43K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B58 |
Q3_K_S | 3 | 6.9 GB | Low | B59 |
NVFP4 | 4 | 7.8 GB | Medium | B60 |
Q4_K_M | 4 | 8.5 GB | Medium | B61 |
Q5_K_M | 5 | 10.1 GB | High | B62 |
Q6_K | 6 | 11.5 GB | High | B62 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | B61 |
F16 | 16 | 28.7 GB | Maximum | F0 |
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
RTX 3090 24GBOpción económicaRTX 4090 24GBMejor relación calidad-precio24 GB VRAM (+4)1008 GB/s (+648)
B
Sube la velocidad estimada de decodificación alrededor de un 173%.96.4 tok/s decodificación
Sube la velocidad estimada de decodificación alrededor de un 173%.
~$1,599 MSRP
RTX PRO 4000 Blackwell 24GBMejora NVIDIA24 GB VRAM (+4)672 GB/s (+312)
B
Sube la velocidad estimada de decodificación alrededor de un 101%.71.1 tok/s decodificación
Sube la velocidad estimada de decodificación alrededor de un 101%.
~$1,599 MSRP
Frequently asked questions
Can RTX 4000 Ada 20GB run Phi 3 Medium 14B?
Yes, RTX 4000 Ada 20GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 35.3 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 14.8 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 RTX 4000 Ada 20GB?
On RTX 4000 Ada 20GB, Phi 3 Medium 14B achieves approximately 35.3 tokens per second decode speed with a time-to-first-token of 5477ms using Q4_K_M quantization.
Can RTX 4000 Ada 20GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on RTX 4000 Ada 20GB receives a B grade with 35.3 tok/s and 43K context.
What context window can Phi 3 Medium 14B use on RTX 4000 Ada 20GB?
On RTX 4000 Ada 20GB, Phi 3 Medium 14B can safely use up to 43K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
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