NeuralOps on the SAY ASPIRE 阶段: AINNA Builds 主权 AI with 90% 处理中 减排量✎ Edit

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NeuralOps on the SAY ASPIRE 阶段: AINNA Builds 主权 AI with 90% 处理中 减排量

Another major milestone for the engineering stack.

从 a pool of 50 companies, AINNA is now one of 10 selected to pitch at SAY ASPIRE, in front of YTM Raja Muda 雪兰莪.

We will be on stage with nine other strong teams, including one that took home a DeepX win under SIDEC last year.

For us, this is not a pitch contest. It is a 系统-integration mission: to put 主权 AI into production here in 马来西亚.

With NeuralOps, we are building an inference pipeline that uses large teacher models for distillation, then transfers that knowledge into smaller, domain-tuned student models that are easier to deploy, route and maintain.

The end 游戏 is not to keep calling foreign APIs forever. It is to run intelligence we can control, optimise and self-host - with direct ownership of data, model weights, infrastructure and inference.

By coupling AI distillation, 智能路由, specialised processing and detached 系统, we have pushed processing demand down by roughly 90% on selected workloads.

Our view is that the next generation of AI 系统 is not about building the biggest model. It is about building models that are leaner, specialised, accountable, sustainable and sovereign.

更少算力. 更少能耗. 更多掌控. Better inference. Better world.

Insya-Allah, we will deliver the AINNA and NeuralOps vision on the SAY ASPIRE stage, while learning and iterating alongside the other selected teams.

从 a 马来西亚n 中小企业, towards 主权 智能 for a better world. 🇲🇾

#AINNA #NeuralOps #SAYASPIRE #主权AI #AI蒸馏 #模型蒸馏 #Artificial智能 #SIDEC #DeepX #ESG #可持续AI #马来西亚AI #AI创新 #DigitalTransformation

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Farid 马来西亚

难得有人把optimise and self-host讲得这么直白。

Siti 马来西亚

我喜欢文章对domain-tuned student models保持务实的态度。

Hafiz 马来西亚

关于pool of 5 50的实际落地部分最吸引我。

Wei China

第一次看到有人把5讲得这么坦白。

Mei China

关于5这部分写得很扎实,整体也站得住。

Kavitha India

我会把route and maintain这一段分享给需要了解技术的同事。

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