The energy consumption of AI and the human analogy

Sam Altman, CEO of OpenAI, recently pointed out that training a human also requires a significant amount of energy. This statement is part of a broader context, where the energy consumption of artificial intelligence (AI) models is the subject of increasing attention and debate.

The training of large language models (LLM) and other advanced AI systems requires significant computational resources, which translates into high electricity consumption. This raises questions about the environmental impact of these technologies and the need to develop more energy-efficient solutions.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.