Best GPU for Fine-Tuning

Best value for LoRA/QLoRA fine-tuning. 24GB VRAM is sufficient for most adapter-based training methods.

80GB VRAM enables full fine-tuning of larger models without quantization. Supports larger batch sizes.

Balanced option with 48GB VRAM. Good for fine-tuning medium models with moderate batch sizes.