How much VRAM do I need for machine learning?

For fine-tuning pre-trained models and small custom models, 6-8GB VRAM is sufficient. For training medium-sized models from scratch, 12-16GB is recommended. For large language models and complex deep learning, you need 24GB+ — which means a desktop GPU or cloud compute.

Should I train ML models locally or in the cloud?

Train locally for prototyping, small datasets, and iterative development — the fast feedback loop is invaluable. Move to cloud (AWS, GCP, Lambda Labs) for production training, large models, and multi-GPU workloads. A laptop with a good GPU lets you prototype efficiently, then scale to cloud for final training.

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