NeuralOps: Less Compute, Less Water, Better ESG

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NeuralOps: Less Compute, Less Water, Better ESG
""Modern hyperscale AI data centers can consume millions of gallons of water every day for cooling, especially in hot climates.""

Sebenarnya kalau kita ubah cara AI digunakan, penggunaan resource boleh turun banyak. Dengan NeuralOps, tak semua task perlu pergi ke LLM atau heavy inference.

Kaedah kami boleh capai up to 90% less AI compute energy usage for defined workloads. SO JIMAT AIR JUGA

Sebab itu kami titik beratkan ESG dalam core business kami. Bukan sebagai tambahan kemudian, tapi dari awal architecture memang dibina untuk guna resource dengan lebih efficient.

https://ainna.bond/esg/

Environment & ESG

Article image
BioResearch Microbiology & cancer disease research intelligence 6 inputs → traceable research priorities Explore →
Edge AI IoT & embedded Linux intelligence at the edge 14 edge agents → offline-capable Explore →
IC DesignOps Repeatability, traceability & verification intelligence 21 detached services → 85% without LLM Explore →
Robotics Governed robotics at the industrial edge Perception → safety gateway → controller Explore →
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