Fine-tuning GPU & cost estimator
Pick a model size and method, get a VRAM estimate, a GPU recommendation, and real current pricing.
Rough estimate: 7B parameters × 2.2 bytes/param ≈ 15GB VRAM needed — base model in fp16 plus small trainable adapters — most of the VRAM is just holding the frozen base weights. Actual usage varies with sequence length, batch size, and framework overhead; treat this as a floor, not an exact figure.
A5000
24GB VRAM
from ₹15/hr · RunPod
A30
24GB VRAM
from —/hr · Jarvislabs
RTX 4090
24GB VRAM
from ₹33/hr · RunPod
RTX 3090
24GB VRAM
from ₹21/hr · RunPod
At 20 hours on the cheapest fitting GPU (RunPod, A5000): ₹307. Training duration itself depends on dataset size and epochs — this tool estimates VRAM fit and cost per hour, not how many hours your specific run will take.