AI as an Electrical Technology
What AI implies in compute and energy terms, why demand can grow even as hardware improves, and where the real bottlenecks are.
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Video summary
The ideas to retain
1. What "compute" means in practice
The process of developing and deploying AI models is divided into two phases with very different energy profiles.
Training
Training a large model requires processing massive amounts of data for weeks or months using thousands of specialized accelerators — GPUs or TPUs — in parallel. The energy consumed by a…
Inference
Inference is the process of using the model to answer questions. Every query, every image generation and every document analysis consumes energy. Unlike training, inference happens…
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