✨Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
📝 Summary:
Intelligence per Watt IPW, accuracy per watt, is proposed to measure local AI efficiency. Local small LMs accurately answer 88.7% of queries, showing 5.3x IPW improvement and outperforming cloud accelerators. This proves local inference can redistribute demand from centralized cloud infrastructure.
🔹 Publication Date: Published on Nov 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07885
• PDF: https://arxiv.org/pdf/2511.07885
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For more data science resources:
✓ https://t.me/DataScienceT
#AI #LocalAI #EnergyEfficiency #LLM #EdgeComputing
📝 Summary:
Intelligence per Watt IPW, accuracy per watt, is proposed to measure local AI efficiency. Local small LMs accurately answer 88.7% of queries, showing 5.3x IPW improvement and outperforming cloud accelerators. This proves local inference can redistribute demand from centralized cloud infrastructure.
🔹 Publication Date: Published on Nov 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07885
• PDF: https://arxiv.org/pdf/2511.07885
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#AI #LocalAI #EnergyEfficiency #LLM #EdgeComputing