📄 中文摘要
在进行模型微调时，直接选择性能最强的 GPU 可能会导致不必要的开支。对于大多数团队来说，RTX 4090 是一个理想的起点，适合较小模型的微调、LoRA 和 QLoRA 工作流程以及成本较低的实验。当显存（VRAM）成为瓶颈时，可以考虑升级到 A100 80GB，而 H100 则适用于已经确认需要更大显存的微调任务。选择合适的 GPU 可以有效降低成本并提高工作效率。
选择哪款 GPU 进行微调租赁？
出处: Which GPU Should You Rent for Fine-Tuning?
发布: 2026年3月25日
📄 English Summary
Which GPU Should You Rent for Fine-Tuning?
Jumping straight to the most powerful GPU for fine-tuning may lead to unnecessary expenses. For most teams, starting with the RTX 4090 is recommended, as it is suitable for smaller model fine-tunes, LoRA and QLoRA workflows, and cost-effective experimentation. Upgrading to the A100 80GB is advisable when VRAM becomes a limiting factor. The H100 should only be considered when it is already known that the fine-tuning task requires more memory. Choosing the right GPU can help reduce costs and improve efficiency.