How much cheaper is LoRA vs full fine-tuning?

LoRA typically reduces training cost by 50-90% vs full fine-tuning. A Llama 2 70B LoRA on 4x A100s takes ~12 hours ($96) vs full fine-tuning requiring 64x A100s for days ($10,000+).

What LoRA rank should I use?

Rank 8-16 is standard for most tasks. Rank 4 is minimum for simple tasks. Rank 64-128 for complex style transfer. Higher rank = better quality but larger adapter size and training cost.

Can multiple LoRA adapters be combined?

Yes — using LoRA merging techniques (TIES, DARE), multiple task-specific adapters can be merged into a single model, enabling multi-task capability without serving overhead.

LoRA Adapter Training Cost Calculator

Calculate LoRA (Low-Rank Adaptation) adapter training costs. Estimate GPU hours, rank parameter impact, and cost savings vs full fine-tuning.

AI & SaaS Tools

SaaS Metrics

AI Compute

AI ROI

LTV:CAC Ratio

ARPU ($/month)

Monthly Churn %

CAC ($)

Gross Margin %

LTV

$3500

LTV:CAC

11.67

Payback

2.9 mo

Health

Healthy ✓

Benchmark: LTV:CAC ≥ 3 is healthy. Payback under 12 months is excellent. Under 1 means you lose money on each customer.

How to Use

Enter the values for the scenario you are assessing. Calculate LoRA (Low-Rank Adaptation) adapter training costs. Estimate GPU hours, rank parameter impact, and cost savings vs full fine-tuning. Use the lora training cost result to inform your calculation.

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Frequently Asked Questions

How much cheaper is LoRA vs full fine-tuning?

What LoRA rank should I use?

Can multiple LoRA adapters be combined?