Artificial intelligence (AI) drives innovation and efficiency across industries, but its sustainability is crucial for long-term benefits.
Sustainable AI growth faces challenges, including high energy consumption, as large language models (LLMs) require significant computational power.
Recent comments from industry executives anticipate a factor of 100 times more computes required for the next generation of LLM training, with energy needs multiplying by 10 every two years.
Partitioning processing over accelerators optimizes performance, driving key parameters.
Author's summary: AI growth needs sustainable solutions.