Tech

Ant Group cuts AI costs using Chinese semiconductors

Ant Group uses Chinese semiconductors to cut AI training costs by 20%, competing with US firms like Nvidia.

Published

10 months ago

March 24, 2025

Ahron Young

Ant Group uses Chinese semiconductors to cut AI training costs by 20%, competing with US firms like Nvidia.

In Short

Jack Ma-backed Ant Group has developed cost-effective AI training techniques using Chinese semiconductors, cutting costs by 20% and producing results comparable to Nvidia. As the company pivots towards local alternatives in response to US bans, its models may significantly enhance Chinese AI development and reduce costs for services.

Jack Ma-backed Ant Group Co. has developed cost-effective techniques for training AI models using Chinese-made semiconductors, reportedly reducing costs by 20%.

The company utilised domestically produced chips from affiliates like Alibaba and Huawei, employing the Mixture of Experts machine learning method, which produced results comparable to Nvidia’s H800 chips.

While Ant continues to use Nvidia for some AI development, it is increasingly leveraging alternatives such as Advanced Micro Devices and Chinese chips for its latest models.

This development positions Ant in competition with Chinese and US firms, especially following DeepSeek’s demonstration of cost-effective model training compared to major investments by OpenAI and Google.

The move highlights the shift of Chinese companies towards local alternatives in response to the US ban on advanced Nvidia semiconductors, including the powerful H800 model.

Ant recently published a research paper claiming that its models sometimes outperform those of Meta in specific benchmarks, a claim that Bloomberg has not independently verified. If confirmed, these models could significantly advance Chinese AI development by reducing inference costs for AI services.

As AI investment grows, Mixture of Experts models are becoming widely adopted due to their efficiency, dividing tasks into smaller data sets.

Tech

Apple’s AI wearable push: Cameras, speakers and a 2027 vision

Apple is developing an AI-powered wearable device, aiming for a launch of 20 million units in the growing AI market.

Published

8 hours ago

January 22, 2026

Harvey Vargas

Apple is developing an AI-powered wearable device, aiming for a launch of 20 million units in the growing AI market.

Apple is reportedly developing an AI-powered wearable device equipped with cameras and speakers, signalling its next major move into artificial intelligence-driven hardware.

While still in early development, the company is said to be planning a launch scale of up to 20 million units.

This move places Apple squarely into the fast-growing AI wearable market, where tech giants are racing to define what hands-free, AI-first devices will look like. Rather than rushing to market, Apple appears to be taking a measured approach by embedding AI capabilities into its existing ecosystem.

Reports suggest Apple is also experimenting with camera-equipped AirPods and smart glasses, with a potential launch timeline around 2027. If successful, these devices could reshape how users interact with AI in everyday life.

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#Apple #AIWearables #AppleAI #TechNews #SmartGlasses #AirPods #FutureTech #Ticker

Tech

AI spending in 2026: Why investment is compounding, not just cyclical

As 2026 begins, AI investment debates rise; real revenue growth signals pivotal changes for tech adoption and future trends.

Published

1 day ago

January 21, 2026

Harvey Vargas

As 2026 begins, AI investment debates rise; real revenue growth signals pivotal changes for tech adoption and future trends.

As we kick off 2026, the debate around AI spending is heating up. Skeptics warn of cyclical hype, but new evidence suggests that AI investment is delivering real revenue and gaining traction across enterprises. Brad Gastwirth from Circular Technologies breaks down why this year could be pivotal for AI adoption.

We dive into how AI spending today compares to previous tech booms, the impact of circular funding models, and why enterprise and sovereign demand are driving durable growth. Brad explains the compounding effect of AI investment and what it means for future technological development.

Finally, we explore the race toward AGI and ASI and the broader implications for the tech landscape. From skeptics to believers, understanding these trends is key for investors, businesses, and tech enthusiasts alike.

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#AIInvestment #TechTrends2026 #ArtificialIntelligence #EnterpriseAI #FutureTech #AGI #TechBoom #CircularFunding

Tech

TSMC posts record profits on AI chip boom

TSMC posts record Q4 profit, driven by strong chip demand, exceeding predictions and signaling market dominance.

Published

6 days ago

January 16, 2026

Harvey Vargas

TSMC posts record Q4 profit, driven by strong chip demand, exceeding predictions and signaling market dominance.

Taiwan Semiconductor Manufacturing Company (TSMC) has posted a record net profit for the fourth quarter, driven by strong demand for advanced chips.

Net profit surged 35% year-on-year, exceeding analyst expectations and signalling a dominant position in the semiconductor market.

Quarterly revenue also rose 20.5% compared to last year, supported by robust sales in AI and high-performance computing segments. The company’s success reflects the growing global appetite for cutting-edge semiconductor technology.

Looking ahead, TSMC plans to ramp up capital expenditure, projecting investments of up to $56 billion in 2026. The positive results have sparked an upbeat reaction across global markets, highlighting TSMC’s influence in the tech sector.

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#TSMC #Semiconductors #AIChips #TechNews #HighPerformanceComputing #StockMarket #QuarterlyEarnings #TechInvesting