How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth

Fine-tuning large language models for specialized tasks has become more accessible through Unsloth, an open-source framework optimized for NVIDIA GPUs that boosts performance by 2.5x while reducing memory usage. The framework supports three fine-tuning methods ranging from parameter-efficient techniques requiring only 100-1,000 sample pairs to full fine-tuning for advanced AI agents needing 1,000+ samples. NVIDIA's Nemotron 3 Nano model offers 60% fewer reasoning tokens and a 1 million-token context window, making it ideal for fine-tuning on systems from RTX laptops to the compact DGX Spark supercomputer with 128GB unified memory.