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Workstation GPUs

Workstation GPUs are expensive, but they make sense when you need pro memory capacity, validated drivers, or longer duty cycles.

Javier Morales Especialista en Hardware e IA Local — 8 años de experiencia
GitHub: github.com/javier-morales-ia

Buying tip: Only step into workstation cards when your workload genuinely needs their memory profile or enterprise support story.

Model-First Catalog Path
Compatibility-safe exits

Choose a compatible starting path before product browsing

Each route pairs a scenario with a model and GPU that fit at Q4 VRAM, so you can jump to compatibility or continue with guided hardware decisions.

2
Visible Scenarios
3.3GB
Avg Required VRAM
5GB
Highest Requirement
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Personal local AI assistant

Users who want privacy and want to skip cloud subscriptions

Model: Llama 3.1 8BGPU: RTX 4060
Selected
Q4 requirement vs GPU VRAM
Required VRAM
5 GB
4GB8GB12GB16GB 24GB+
5GB
Model Q4
8GB
GPU VRAM
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Private audio transcription

Journalists, researchers, healthcare professionals

Model: Whisper Large V3GPU: RTX 3060
Q4 requirement vs GPU VRAM
Required VRAM
1.5 GB
4GB8GB12GB16GB 24GB+
1.5GB
Model Q4
12GB
GPU VRAM

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Workstation GPUs recommendations coming soon

This category needs more curated product coverage before we publish buying guidance here.

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