Taiwan mira dobrar vendas de chips e dispositivos para a Índia em sete anos

Taiwan acelera expansão tecnológica na Índia com meta ambiciosa de crescimento.

Estratégia de mercado

Plano setenial visa capitalizar demanda indiana por componentes eletrônicos - fabricantes taiwaneses reposicionam cadeias globais enquanto diversificam além da China.

Oportunidades de investimento

Setor de semicondutores lidera corrida por parcerias bilaterais, com fabricantes locais buscando vantagem competitiva em infraestrutura digital em expansão. Meta de duplicação reflete confiança no crescimento orgânico do mercado.

Desafios regulatórios

Barreiras tarifárias e requisitos de localização representam obstáculos - mesmo assim, executivos mantêm otimismo cauteloso sobre prazos. Estratégia de longo prazo ignora volatilidade cambial imediata, focando em participação sustentável de mercado.

Enquanto fundos de hedge brincam com NFTs, taiwaneses constroem infraestrutura real que move economias.

Chip makers use smart software to cut power use

Companies that make computer chips are now using smart software to design chips that use less electricity. The world’s biggest chip manufacturer showed this new approach on Wednesday.

Taiwan Semiconductor Manufacturing Co., which makes chips for Nvidia, presented ways to make computer chips about 10 times more energy efficient at a meeting in Silicon Valley.

Nvidia’s top computer servers for smart technology can use as much as 1,200 watts when working hard. This equals the power that 1,000 American homes would use if running all the time.

The improvements come from new chip designs where smaller pieces called “chiplets” using different technologies get put together to make one complete computing package.

To use these new methods, chip design companies are relying more on smart software from companies like Cadence Design Systems and Synopsys. Both companies showed new products on Wednesday that they made while working closely with TSMC.

For some hard jobs in chip design, the software tools from TSMC’s partners found better answers than the company’s own human workers – and they did it much faster.

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