Can Phi 3 Medium 14B run on Tesla P40 24GB?

YES — Runs Great

B62Good

Estimated from fit model

Phi 3 Medium 14B needs ~15.2 GB VRAM. Tesla P40 24GB has 24.0 GB. With Q4_K_M quantization, expect ~26 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 15.2 GB, 25.7 tok/s, Runs well

15.2 GB required24.0 GB available

63% VRAM used

Fit status

Runs well

Decode

25.7 tok/s

TTFT

7534 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 Tesla P40 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: 25.7 tok/s decode · 7.5s TTFT (warm) · 64 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	25.7 tok/s	4109 ms	62K
Coding	B	Runs well	25.7 tok/s	7534 ms	62K
Agentic Coding	B	Runs well	25.7 tok/s	10959 ms	62K
Reasoning	B	Runs well	25.7 tok/s	8904 ms	62K
RAG	B	Runs well	25.7 tok/s	13698 ms	62K

Quantization options

How Phi 3 Medium 14B (14B params) fits at each quantization level on Tesla P40 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

Opções de upgrade

Hardware que roda bem Phi 3 Medium 14B

RTX 5090 32GBOpção econômica

32 GB VRAM (+8)1792 GB/s (+1446)

Raises estimated decode speed by about 488%.151.1 tok/s decodificação

Raises estimated decode speed by about 488%.

Adds memory headroom for longer context windows and future model growth.

~$1,999 MSRP

RTX PRO 4500 Blackwell 32GBMelhor custo-benefício

32 GB VRAM (+8)896 GB/s (+550)

Raises estimated decode speed by about 268%.94.7 tok/s decodificação

Raises estimated decode speed by about 268%.

Adds memory headroom for longer context windows and future model growth.

~$2,499 MSRP

NVIDIA V100 32GBUpgrade NVIDIA

32 GB VRAM (+8)900 GB/s (+554)

Raises estimated decode speed by about 195%.75.9 tok/s decodificação

Raises estimated decode speed by about 195%.

Adds memory headroom for longer context windows and future model growth.

~$8,999 MSRP

Frequently asked questions

Can Tesla P40 24GB run Phi 3 Medium 14B?

Yes, Tesla P40 24GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 25.7 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 Tesla P40 24GB?

On Tesla P40 24GB, Phi 3 Medium 14B achieves approximately 25.7 tokens per second decode speed with a time-to-first-token of 7534ms using Q4_K_M quantization.

Can Tesla P40 24GB run Phi 3 Medium 14B for coding?

For coding workloads, Phi 3 Medium 14B on Tesla P40 24GB receives a B grade with 25.7 tok/s and 62K context.

What context window can Phi 3 Medium 14B use on Tesla P40 24GB?

On Tesla P40 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.

See all results for Tesla P40 24GB See all hardware for Phi 3 Medium 14B

Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/phi-3-medium-14b-on-tesla-p40-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: