Best GPU for Fine-Tuning
Fine-tune models with LoRA, QLoRA
Minimum VRAM recommended: 24GB
Recommended GPUs
NVIDIA RTX 4090
24GB · AdaBest value for LoRA/QLoRA fine-tuning. 24GB VRAM is sufficient for most adapter-based training methods.
NVIDIA A100
80GB · Ampere80GB VRAM enables full fine-tuning of larger models without quantization. Supports larger batch sizes.
NVIDIA A6000
48GB · AmpereBalanced option with 48GB VRAM. Good for fine-tuning medium models with moderate batch sizes.
Compare These GPUs
Other Use Cases
Stable Diffusion
Image generation with Stable Diffusion XL and SD 3.0
LLM Training
Train large language models like LLaMA, Mistral
LLM Inference
Run inference on large language models
Video Rendering
3D rendering and video processing
Deep Learning
General deep learning research and training
Object Detection
Real-time object detection with YOLO, DINO
Speech Recognition
Whisper, ASR models and voice AI
Image Classification
Training and inference for classification models
NLP Research
Natural language processing experiments
Data Science & Analytics
RAPIDS, cuDF and GPU-accelerated analytics
Generative AI (LLMs + Images)
Full generative AI stack: text, image, multimodal