Focus on API and small model logic over hardware acquisition

Learning AI development via APIs and small models fits existing VRAM or CPU constraints more effectively than chasing hardware updates. Most practitioners can master PyTorch or model training without specialized hardware, as custom CUDA kernel development remains a niche requirement.