AI infrastructure is evolving fast. A few years ago, companies were only talking about “cloud computing.” Now the conversation has shifted to: GPU-as-a-Service (GaaS) → Rent powerful GPUs on demand for AI training and inference. Model-as-a-Service (MaaS) → Access pre-trained AI models through APIs without managing infrastructure. Token-as-a-Service (TaaS) → Pay based on AI token usage instead of maintaining your own models and compute. Why this matters: Faster AI development Lower inf...