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Maxwell 12GB de VRAM 250W From $0.056/hr
Per hour
$0.056
Per day
$1.33
Per week
$9.34
Per month
$40
AI models

Models that run on this GPU.

Modelos de pesos abiertos que caben en esta tarjeta para inferencia, con el menor número de tarjetas y la precisión que carga cada uno. Calculado a diario a partir del tamaño del modelo y la memoria de la tarjeta. Se muestran los 60 más grandes de 107 modelos que caben.

DeepSeek Coder V2 Lite

by DeepSeek
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
16B (2B active)
Throughput
196 tok/s

Qwen2.5 14B

by Alibaba (Qwen Team)
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

Qwen3 14B Base

by Alibaba (Qwen Team)
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

Cogito V1 Preview Qwen 14B

by Deepcogito
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

Qwen 3 14B

by Alibaba (Qwen Team)
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

Qwen 2.5 14B

by Alibaba (Qwen Team)
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

DeepSeek R1 Distill Qwen 14B

by DeepSeek
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s

Phi-4

by Microsoft
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
15B
Throughput
32 tok/s
?

Deepcoder 14B Preview

by Agentica
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
14B
Throughput
34 tok/s

Mistral: Ministral 3 14B 2512

by Mistral AI
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
14B
Throughput
34 tok/s

Phi-3 Medium

by Microsoft
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
14B
Throughput
34 tok/s

Code Llama 13B

by Meta AI
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
13B
Throughput
36 tok/s
?

MythoMax 13B

by Gryphe
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
13B
Throughput
36 tok/s

LLaVA 13B

by LLaVA Project
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
13B
Context
4K tokens

Baichuan2-13B

by Baichuan Inc.
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
13B
Throughput
36 tok/s
?

ReMM SLERP 13B

by Undi95
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
13B
Throughput
36 tok/s

Mistral Nemo 12B

by Mistral AI
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s

FLUX.1 Dev

by Black Forest Labs
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B

FLUX.1 Schnell

by Black Forest Labs
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
?

TheDrummer: Rocinante 12B

by Thedrummer
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s

Meta: Llama Guard 4 12B

by Meta AI
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s
?

TheDrummer: UnslopNemo 12B

by Thedrummer
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s

Gemma 4 12B It

by Google DeepMind
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s

Google: Gemma 3 12B

by Google DeepMind
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
12B
Throughput
39 tok/s

Llama 3.2 11B Vision

by Meta AI
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
11B
Context
128K tokens

Qwen: Qwen3.5-9B

by Alibaba (Qwen Team)
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
10B
Throughput
49 tok/s

Moondream: Moondream 3.1

by Moondream
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
51 tok/s

Moondream: Moondream 3 Preview

by Moondream
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
51 tok/s

Gemma 2 9B

by Google DeepMind
INT4
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
51 tok/s

NVIDIA: Nemotron Nano 9B V2

by Nvidia
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
26 tok/s

Mistral: Ministral 3 8B 2512

by Mistral AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
26 tok/s

granite-4.2-8b

by IBM Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
27 tok/s

IBM: Granite 4.1 8B

by IBM Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
27 tok/s

Qwen: Qwen3 VL 8B Instruct

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
27 tok/s

Qwen: Qwen3 VL 8B Thinking

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
9B
Throughput
27 tok/s

LFM2.5-8B-A1B

by Liquid AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
28 tok/s

EssentialAI: Rnj 1 Instruct

by Essential AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
28 tok/s
?

ByteDance: UI-TARS 7B

by ByteDance (Seed team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
28 tok/s

Qwen 3 8B

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Stable Diffusion 3.5 Large

by Stability AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B

Tencent: Hy-MT2-7B

by Tencent
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Molmo 7B D 0924

by Allen Institute for AI (AI2)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Meta: Llama 3 8B Instruct

by Meta AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Meta Llama 3.1 8B

by Meta AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Llama 3.1 8B

by Meta AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

IBM Granite Code 8B

by IBM Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Cogito V1 Preview Llama 8B

by Deepcogito
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Qwen3 8B Base

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s
?

NousResearch: Hermes 2 Pro - Llama-3 8B

by Nous Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s
?

AionLabs: Aion-RP 1.0 (8B)

by Aion Labs
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s
?

Hermes 3 8B

by Nous Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Llama Guard 3 8B

by Meta AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s
?

Sao10K: Llama 3 8B Lunaris

by Sao10k
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Mistral: Ministral 8B

by Mistral AI
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

IBM Granite 3.1 8B

by IBM Research
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Gemma 4 E4B-it

by Google DeepMind
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
29 tok/s

Qwen2.5 7B

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
31 tok/s

Qwen 2 (7B)

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
31 tok/s

Qwen 2.5 7B

by Alibaba (Qwen Team)
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
31 tok/s

DeepSeek R1 Distill Qwen 7B

by DeepSeek
FP8
Required GPUs
1× Nvidia GTX TITAN X
VRAM total
12 GB
Parameters
8B
Throughput
31 tok/s
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FAQ

AI models on this GPU.

What AI models can I run on a Nvidia GTX TITAN X?
The list above shows open-weights models whose memory need fits this card: on one card when the model uses at least a quarter of its 12 GB, or on 2, 4 or 8 of them when it is too large for one. Each row gives the fewest cards and the precision (FP16, FP8 or INT4) that load it.
What's the VRAM minimum to run a model on the Nvidia GTX TITAN X?
We count the weights (parameters × bytes per weight: FP16 = 2, FP8 = 1, INT4 = 0.5), add the KV cache for an 8K-token context, and add 15% for the runtime. A model fits when that is within 90% of the cards' memory. A 70B model needs about 164 GB at FP16 and about 43 GB at INT4. A longer context needs more.
How does quantization (FP16 vs FP8 vs INT4) affect what fits?
Lower-precision quantization shrinks the memory footprint nearly linearly with the bit count. The trade-off is output quality: FP16 is the reference, FP8 is usually indistinguishable for most prompts, INT8 introduces small quality losses, INT4 is noticeably degraded on reasoning-heavy tasks but fine for chat. The badge on each row tells you which level the recommendation assumes.
Can I fine-tune on the Nvidia GTX TITAN X or only do inference?
The rows here are for inference. Full fine-tuning needs several times more memory than inference at the same model size, because gradients, optimizer state and activations all live in memory. LoRA and QLoRA cut that a lot. The fine-tune cost tool sizes a run for you.
How are these GPU counts worked out?
We compute them every day from the model's parameter count and the card's memory, with the formula above. They are estimates, not tests we ran. Tokens per second, where shown, is an estimate from the card's memory bandwidth on one card.