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Jofie Yordan · · 5 min read

An AI model that’s light on SME pockets

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Hi there,

Artificial intelligence has become more sophisticated over time. But despite these rapid advancements, its development is known to cost an arm and a leg.

AI demands immense computing power and vast amounts of data. Plus, it involves hiring highly skilled talent, which doesn’t come cheap.

In this week’s Big Story, my colleague Scott explains the AI model of open-source AI firm Recursal. The model, called receptance weighted key value (RWKV), can reduce the costs for SMEs in Southeast Asia looking to build their own AI solutions for businesses, the firm says.

RWKV enables companies to support their AI solution through the use of more cost-effective GPUs, those typically required to play a video game, for instance.

This reduces the amount firms usually spend on AI chips from thousands to just hundreds of dollars.

Meanwhile, in the Hot Take, I discuss Indonesia’s state-owned firm Telkom and its plan to build an AI data center with a 500 megawatt capacity by 2030.

With limited AI-related investment entering the country, the Indonesian government needs to accelerate infrastructure development even further.

Otherwise, Indonesia risks falling further behind neighboring countries in AI adoption and development.

Jofie


THE BIG STORY

Can’t afford $300k for AI chips? New model for SEA cuts high costs


THE HOT TAKE


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TIA Writer

Jofie Yordan

Based in Jakarta. A correspondent at Tech in Asia who covers startups and VC, with a primary focus on the ecommerce sector in Southeast Asia.