RTX 5090 32GBコスパ重視32 GB VRAM (+8)1792 GB/s (+1492)
B
Raises estimated decode speed by about 517%.151.1 tok/sデコード
Raises estimated decode speed by about 517%.
Adds memory headroom for longer context windows and future model growth.
〜$1,999 MSRP
Can Phi 3 Medium 14B run on NVIDIA L4 24GB?
YES — Runs Great
B62Good
Estimated from fit model
Phi 3 Medium 14B needs ~15.2 GB VRAM. NVIDIA L4 24GB has 24.0 GB. With Q4_K_M quantization, expect ~25 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) — 15.2 GB, 24.5 tok/s, Runs well
15.2 GB required24.0 GB available
63% VRAM used
Fit status
Runs well
Decode
24.5 tok/s
TTFT
7887 ms
Safe context
62K
Memory
15.2 GB / 24.0 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom2.4 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B on NVIDIA L4 24GB
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: 24.5 tok/s decode · 7.9s TTFT (warm) · 61 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 | 24.5 tok/s | 4302 ms | 62K |
| Coding | B | Runs well | 24.5 tok/s | 7887 ms | 62K |
| Agentic Coding | B | Runs well | 24.5 tok/s | 11472 ms | 62K |
| Reasoning | B | Runs well | 24.5 tok/s | 9321 ms | 62K |
| RAG | B | Runs well | 24.5 tok/s | 14340 ms | 62K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on NVIDIA L4 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B57 |
Q3_K_S | 3 | 6.9 GB | Low | B58 |
NVFP4 | 4 | 7.8 GB | Medium | B58 |
Q4_K_M | 4 | 8.5 GB | Medium | B59 |
Q5_K_M | 5 | 10.1 GB | High | B60 |
Q6_K | 6 | 11.5 GB | High | B61 |
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:mediumアップグレードオプション
Phi 3 Medium 14Bを快適に動かすハードウェア
RTX 5090 32GBコスパ重視RTX PRO 4500 Blackwell 32GBコスパ最良32 GB VRAM (+8)896 GB/s (+596)
B
Raises estimated decode speed by about 287%.94.7 tok/sデコード
Raises estimated decode speed by about 287%.
Adds memory headroom for longer context windows and future model growth.
〜$2,499 MSRP
NVIDIA V100 32GBNVIDIAアップグレード32 GB VRAM (+8)900 GB/s (+600)
B
Raises estimated decode speed by about 210%.75.9 tok/sデコード
Raises estimated decode speed by about 210%.
Adds memory headroom for longer context windows and future model growth.
〜$8,999 MSRP
Frequently asked questions
Can NVIDIA L4 24GB run Phi 3 Medium 14B?
Yes, NVIDIA L4 24GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 24.5 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 15.2 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 L4 24GB?
On NVIDIA L4 24GB, Phi 3 Medium 14B achieves approximately 24.5 tokens per second decode speed with a time-to-first-token of 7887ms using Q4_K_M quantization.
Can NVIDIA L4 24GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on NVIDIA L4 24GB receives a B grade with 24.5 tok/s and 62K context.
What context window can Phi 3 Medium 14B use on NVIDIA L4 24GB?
On NVIDIA L4 24GB, Phi 3 Medium 14B can safely use up to 62K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
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