How developers can lower AI's climate impact AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions
AI development can consume large amounts of energy, leading to growing concerns about the climate impact of this emerging technology. The authors explain how tactics such as rethinking how much training data is required and reusing already-trained models can reduce energy consumption and lower the r...
| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
[Cambridge, Massachusetts]
MIT Sloan Management Review
2024
|
| Edition: | [First edition] |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | AI development can consume large amounts of energy, leading to growing concerns about the climate impact of this emerging technology. The authors explain how tactics such as rethinking how much training data is required and reusing already-trained models can reduce energy consumption and lower the resulting carbon emissions from artificial intelligence initiatives |
|---|---|
| Item Description: | Reprint #65301 |
| Physical Description: | 5 pages |