Can Phi 3 Medium 14B run on RTX 5090 32GB?

YES — Runs Great

B64Good

○Estimated from fit model

Phi 3 Medium 14B needs ~16.0 GB VRAM. RTX 5090 32GB has 32.0 GB. With Q4_K_M quantization, expect ~151 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 16.0 GB, 151.1 tok/s, Runs well

16.0 GB required32.0 GB available

50% VRAM used

Fit status

Runs well

Decode

151.1 tok/s

TTFT

1281 ms

Safe context

100K

Memory

16.0 GB / 32.0 GB

Memory breakdown

Weights8.5 GB

KV Cache3.1 GB

Runtime1.2 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsPhi 3 Medium 14B on RTX 5090 32GB
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: 151.1 tok/s decode · 1.3s TTFT (warm) · 378 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	151.1 tok/s	699 ms	100K
Coding	B	Runs well	151.1 tok/s	1281 ms	100K
Agentic Coding	B	Runs well	151.1 tok/s	1863 ms	100K
Reasoning	B	Runs well	151.1 tok/s	1514 ms	100K
RAG	B	Runs well	151.1 tok/s	2329 ms	100K

Quantization options

How Phi 3 Medium 14B (14B params) fits at each quantization level on RTX 5090 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	C55
Q3_K_S	3	6.9 GB	Low	B55
NVFP4	4

Get started

Copy-paste commands to run Phi 3 Medium 14B on your machine.

Run

ollama run phi3:medium

Frequently asked questions

See all results for RTX 5090 32GB See all hardware for Phi 3 Medium 14B

URL: https://willitrunai.com/can-run/phi-3-medium-14b-on-rtx-5090-32gb

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