What is the cost of operating AI models at scale?
Reviewed by Jason Burns, Editorial Steward · Last updated
Operating AI at scale involves compute for inference, storage and networking for retrieval, engineering headcount, and per-token or per-hour API fees; costs are typically driven by request volume, model size, context length, and latency requirements. As International Energy Agency (IEA), put it on the record: "Electricity consumption from data centres, artificial intelligence and the cryptocurrency sector could double by 2026."