Developer Platform

VRAM Explorer & Hardware Matcher

Real-time hardware constraints, model quantization sizing, and memory footprints for local host deployment.

Explorador VRAM

¿Qué modelo cabe en su hardware?

Categoría

Tengo este hardware

Modelo (buscar)

Cuantización

Modelos populares

VRAM —

Parámetros —

Contexto —

Licencia —

Mejor para —

Velocidad estimada: —

Jetson Orin Nano Super 8GB • €230

RPi 5 + AI HAT+ 2 16GB • €200

Beelink SER8 32GB • €550

ASUS NUC 14 Pro 64GB • €650

Minisforum UM890 Pro 96GB • €750

Mac Mini M4 (24GB) 24GB • €920

Mac Mini M4 Pro (48GB) 48GB • €1840

Mac Studio M4 Max (48GB) 48GB • €2300

Jetson AGX Orin 64GB 64GB • €1840

RTX 4060 Ti 16GB Build 16GB • €1000

RTX 4090 24GB Build 24GB • €2500

RTX 3090 24GB (Used) Build 24GB • €1200

AMD W7900 48GB Build 48GB • €4000

Jetson AGX Thor (128GB) 128GB • €3499

Jetson T4000 (64GB) 64GB • €1999

Cloud A100 80GB (RunPod) 80GB • €from 1.29

Cloud H100 80GB (RunPod) 80GB • €from 2.49

MacBook Pro M4 Pro (24GB) 24GB • €2199

Lenovo ThinkPad P16s Gen 3 (RTX A500) 32GB • €1650

Framework 16 (Radeon RX 7700S) 32GB • €1900

Supermicro 1U Server (L40S 48GB) 48GB • €12000

Dell PowerEdge R760xa (2x RTX A6000) 96GB • €18500

Cabe perfectamente Ajustado (>80%) No cabe

Consejo: Para modelos >13B parámetros, considere el Mac Mini M4 Pro (48GB) o superior.

Guarde su análisis VRAM

Siguiente paso: Hardware | ROI | Subvenciones | Test de preparación

Interactive tool

Edge AI Hardware Selector

Answer 3 questions and we recommend the ideal hardware for your case.

Use case

1. What is your primary use case?

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RAM —

Models —

Latency —

Users —

Power —

Why this recommendation?

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Email summary

	Jetson Orin	Intel NUC	Mac Mini M4	M4 Pro	M4 Ultra
Price	EUR 250	EUR 400	EUR 700	EUR 1,999	EUR 4,999
RAM	8 GB	16 GB	24 GB	48 GB	192 GB
AI Models	1-2	2-3	4+	6+	12+
Users	1-3	5-10	15+	25+	50+
Llama 3.1 8B	~15 tok/s	~25 tok/s	~45 tok/s	~65 tok/s	~110 tok/s
Mistral 7B	~18 tok/s	~30 tok/s	~50 tok/s	~72 tok/s	~130 tok/s
Power	15W	65W	35W	45W	65W
Electricity/year	~EUR 8	~EUR 34	~EUR 18	~EUR 24	~EUR 34
Noise	Silent (fanless)	Audible (fan)	Very quiet	Quiet	Quiet
Compatible models	Phi-3, Gemma 2B, Qwen 3B	Llama 8B, Mistral 7B, Qwen 7B	Llama 8B, Gemma4, CodeQwen	Llama 70B Q4, Mixtral, DeepSeek	Llama 70B FP16, Llama 405B Q4, ANY model
Best for	Entry	Office	Premium	Enterprise	Data Center

What fits in your office?

Jetson Orin 10 x 10 x 3 cm Size of a paperback book

Intel NUC 12 x 12 x 5 cm Size of a thick novel

Mac Mini M4 13 x 13 x 5 cm Size of a lunch box

Mac Studio M4 Ultra 20 x 20 x 10 cm Size of a toaster

M4 Pro 13 x 13 x 5 cm Same size, more power

All fit under a monitor or in a network cabinet. No servers, no noise.

Explore: VRAM Explorer | ROI | Grants | Readiness Quiz

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Tell us what you want to run

Tell us what you want to run and on what budget. We will tell you which hardware you need, which model fits, and what to expect from it — before you spend anything.

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Self-service Local-first Open-source toolkits

136 pages of free resources · 26 compliance templates · 22 certified devices

VRAM Explorer & Hardware Matcher

Explorador VRAM

Listo para desplegar

Edge AI Hardware Selector

1. What is your primary use case?

2. Your requirements

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Why this recommendation?

Total first year cost

Noise level

Recommended models

12-month cost projection

Estimated first year total cost

What fits in your office?

VORLUX AI Deployment Package

Why not the others

Upgrade path

Tell us what you want to run

VORLUX AI