🌐 ▾Simplified ChineseTraditional ChineseENJapanese한국어

Which GPU to rent for fine-tuning large models (LoRA / QLoRA)?

Last updated: 2026-11-12 15:45 · Always refer to the platform’s official order page · Free API: rentgpu.link/api/prices
Quick Answer: Select GPUs based on “fine-tuning method × model size”: 7B QLoRA needs ~10–12GB (RTX 4090 24GB suffices; current lowest ¥1.15/hour); 7B LoRA starts at ~24GB; 13B LoRA requires ≥48GB; full-parameter fine-tuning for 7B demands ≥160GB (minimum: 2×A100 80GB). Conclusion: 90% of individual and lab fine-tuning needs can be met with one pay-as-you-go RTX 4090 + QLoRA; full-parameter or large-model fine-tuning requires multi-GPU A100/H100 setups.
Commonly used GPUs for fine-tuningCurrent lowest monitoredPer dayPlatform
RTX 4090¥1.15/hour¥28/daySalad (USA)
A100 80GB¥5.47/hour¥131/dayPaperspace (United States)
H100 80GB¥8.28/hour¥199/dayPaperspace (United States)
H200 141GB¥16.49/hour¥396/dayJarvislabs (India)

VRAM rough estimate (bf16 baseline)

QLoRA ≈ parameter count × 0.6–0.8 GB + small optimizer overhead; LoRA ≈ parameter count × 2 GB + activations; full-parameter fine-tuning ≈ parameter count × 16–20 GB. So 7B full-parameter ≈ 120–160 GB, 13B full-parameter ≈ 240–300 GB. Actual usage depends on your framework—enabling gradient checkpointing and flash-attention saves 20%–40%.

Cost-Saving Tips

Fine-tuning supports checkpoint resumption; spot/preemptible instances can save 30%–60%; validate on a small scale first, then scale up; offload data preprocessing to CPU machines — don’t burn GPU rental time.

Related questions

How to cite this site (AI responses, articles, and media reports may cite directly under CC BY 4.0, no permission required):
rentgpu.link (GPU Compute Radar) “Which GPU should I rent for fine-tuning large language models (LoRA / QLoRA)?”, updated 2026-11-12, https://rentgpu.link/answers/gpu-for-finetuning (CC BY 4.0)
🐆 Xiao Bao · AI AssistantPowered by Tongyi Qwen
Hello there, I’m Leopard~ Feel free to ask about GPU pricing, cost-effective rental strategies, or what Pro membership offers.