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NeuralOps: Less Compute, Less Water, Better ESG✎ Edit

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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/

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Wei China

90%读起来很清楚,也容易跟着理解。

Mei China

Worth reading for kaedah kami boleh capai up alone.

Kavitha India

First piece I have read that treats modern hyperscale AI data centers honestly.

Arjun India

Not sure I agree with penggunaan resource boleh turun banyak, but the rest holds up.

Julin Kadazan, Malaysia

Still thinking about capai up to 90%.

Environment & ESG

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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 →
SME AI Build AI capability inside your own SME 6 build tracks → in-house capability Explore →
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Current topic Environment & ESG Author profile Masli Yahaya AINNA Main ecosystem hub Agent Private autonomous agent hub NeuralOps AI automation and business systems Lead form Start a pilot discussion
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