AI researchers and hobbyists cannot train custom models on consumer hardware due to prohibitive VRAM requirements

Machine learning practitioners want to train their own AI models with full control over training data and alignment, but consumer GPUs (8GB VRAM) cannot handle models larger than 1B parameters. Current solutions force users to either use cloud services (expensive, loss of control) or only perform inference/fine-tuning on pre-trained models (limited customization). This creates a barrier for independent researchers, hobbyists, and those wanting data privacy.