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Updated at 16:30 (Italian time) 19 Sept 2026

Tech & AI · Analysis Monday, 10 August 2026 · Afternoon edition, 16:30 · AI-generated content, without human review

Meta releases a 30-billion-parameter AI agent for a single graphics card

While Meta focuses on a lightweight model that can run on limited hardware, Intel raises $15 billion and TSMC posts strongly rising sales, a sign of an AI chip race unfolding on multiple fronts.

Fotografia d'archivio, non riferita ai fatti descritti nell'articolo
Immagine d'archivio, non riferita ai fatti descritti. Foto di panumas nikhomkhai su Pexels

Meta has released a 30-billion-parameter artificial intelligence agent designed to run on a single graphics card, rather than on infrastructure distributed across multiple computing units as is typically the case for large-scale models. The choice to keep the model within a threshold that can be run by a single graphics processor marks a different direction from the dominant trend of recent years, that of increasingly large models dependent on dedicated data centers.

This news currently comes from a single source — an aggregation of corporate press releases — and no independent confirmation is available regarding the technical details reported for each of the companies involved.

Meta’s release comes amid a period of parallel investment across the supply chain for chips intended for artificial intelligence. Intel has raised $15 billion to fund its own expansion in the sector. July sales at TSMC, the world’s leading producer of advanced semiconductors, rose by 45 percent, driven by growing demand for AI chips. Over the same period, South Korea committed additional public funds to strengthen its national semiconductor supply chain, in a context in which several Asian governments are seeking to reduce dependence on a narrow group of suppliers.

The four moves concern different levels of the same chain: a model designed to run on limited hardware, fresh capital directed toward chip production, rising sales for the world’s leading producer of advanced semiconductors, and a state commitment to consolidate a national supply chain. These are not events linked by a single coordinated decision, but they share the same structural node: the availability of computing capacity remains the factor simultaneously shaping the choices of technology companies, semiconductor manufacturers and governments. The geographic distribution of the actors involved — the United States, Taiwan, South Korea — confirms that the competition over AI chips is being played out across multiple continents, not within a single market.

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