South Korea has become Taiwan’s largest source of trade deficit, surpassing Japan, with a record $18.1 billion deficit in the first 10 months of this year, according to Taiwan’s Ministry of Finance. Integrated circuits account for $12.9 billion, or 71.3%, of the total deficit, driven by South Korea’s dominance in memory chip production and its role in the AI supply chain.
South Korea’s SK hynix, the second-largest memory chip maker, has partnered with Taiwan’s TSMC to produce advanced HBM chips for AI leader NVIDIA, underscoring the countries’ intertwined roles in the tech industry. Taiwan relies on South Korea for DRAM, a key component in packaging and integrating AI technologies, further fueling the deficit.
Trade between the two nations remains robust, with South Korea ranking as Taiwan’s fifth-largest export market and fourth-largest import source. Both export-oriented economies share overlapping industrial structures, particularly in electronics, highlighting their competition and collaboration within global supply chains.
Wang Shouwen, China‘s vice commerce minister, held discussions with Jay Puri, Nvidia‘s executive vice president for worldwide field operations, in Beijing on Monday, according to China’s Ministry of Commerce.
Details of the meeting were not disclosed, but the talks underscore Nvidia’s growing significance in the global tech landscape and its potential role in China’s semiconductor sector.
The meeting comes amid heightened tensions over technology trade between China and the United States, where Nvidia is a leading player in advanced chip production. Both sides may seek to address mutual interests while navigating ongoing restrictions and competition in the semiconductor industry.
The US government is expected to reduce Intel Corp‘s preliminary $8.5 billion federal chips grant to less than $8 billion, according to a report by The New York Times. The decision reflects Intel’s recent $3 billion contract to produce chips for the Pentagon, unnamed sources said.
Earlier this year, the Biden administration announced nearly $20 billion in grants and loans for Intel to expand its semiconductor manufacturing capabilities. The funding, part of the 2022 CHIPS and Science Act, supports building two new factories in Arizona and modernising an existing one.
The CHIPS Act allocated $52.7 billion to bolster US semiconductor production, including $39 billion for subsidies and $11 billion for research and development, as part of a national push to strengthen domestic chip manufacturing and reduce reliance on foreign supply chains.
The Japanese government has announced plans to invest an additional 200 billion yen ($1.3 billion) in Rapidus Corp. in fiscal 2025, aiming to enhance the domestic semiconductor industry. This follows a 920 billion yen package already allocated to support the chipmaker, with the added funding expected to attract private-sector investment to strengthen Japan‘s supply chain for next-generation chips.
Rapidus, a venture formed in 2022 by major Japanese companies like Toyota and Sony, estimates it will require around 5 trillion yen to complete a cutting-edge manufacturing plant in Hokkaido. The plant aims to begin mass production of advanced semiconductors by 2027. The project has also secured technical collaboration with United States tech giant IBM, ensuring access to key expertise in chip development.
The government is set to approve a comprehensive financial package that includes the new funding and potential loan guarantees, highlighting its focus on revitalising the once-dominant semiconductor industry. The move aligns with Japan’s strategy to mitigate geopolitical risks and compete in the global chip market, which remains critical for technologies from AI to electric vehicles.
The additional funding underscores Japan’s commitment to regaining a leading position in the semiconductor supply chain amid growing global competition. By fostering public-private partnerships and strengthening technological capabilities, Japan aims to reduce reliance on foreign suppliers and secure its stake in an increasingly vital industry.
The US Commerce Department has awarded GlobalFoundries a $1.5 billion subsidy to expand semiconductor production in Malta, New York, and Vermont. This follows the company’s $13 billion commitment to bolstering United States manufacturing over the next decade, with a focus on automotive, AI, and aerospace sectors.
The funding will support enhanced technologies at the Malta facility and plans for a new plant aligned with market demand. New York state has pledged an additional $550 million to support the expansion. Commerce Secretary Gina Raimondo emphasised the urgency to finalise similar agreements before the administration ends.
GlobalFoundries CEO Thomas Caulfield highlighted the critical role of US-made chips in economic and national security. The subsidy is part of the $52.7 billion Chips and Science programme, which also allocated major awards to TSMC, Samsung, and Intel.
As the US prepares for Donald Trump’s second term, China is significantly increasing its semiconductor imports from the US, anticipating potential sanctions. In October, China imported $1.11 billion worth of microchips, a 60% rise from the previous year, and has already imported $9.61 billion in the first ten months of 2024, marking a 42.5% year-on-year increase. This surge reflects China’s growing demand for US semiconductors, particularly CPU-based processors and chips for storage and signal amplification, which align with its AI ambitions.
Despite these imports, China faces hurdles in advancing its chip technology. US sanctions have crippled Huawei’s ability to develop competitive AI chips, with the company’s upcoming processors lagging years behind NVIDIA’s offerings. This setback is largely due to restrictions on access to advanced lithography equipment, such as ASML’s EUV tools, essential for creating cutting-edge chips.
Meanwhile, China has been ramping up its chip manufacturing efforts, investing $25 billion in equipment in the first half of 2024, surpassing spending by Korea, Taiwan, and the US. However, as one-third of global semiconductor demand, China’s position remains critical for the industry. The impact of Trump’s potential tech restrictions, whether broad or selective, will likely influence the global semiconductor market, requiring careful balancing of US production and Chinese demand.
Nvidia reported a staggering $19B in net income last quarter but faced questions about sustaining its rapid growth amid shifts in AI development methods. Analysts questioned CEO Jensen Huang on how Nvidia’s position might evolve with trends like ‘test-time scaling,’ a method that enhances AI responses by increasing computing power during inference, the phase when AI generates answers.
Huang described test-time scaling as a groundbreaking development and emphasised Nvidia’s readiness to support it. He noted that while most of the company’s focus remains on pretraining AI models, the growing emphasis on inference could transform the AI landscape. Nvidia’s dominance in pretraining has propelled its stock up 180% this year, but competition in AI inference is heating up, with startups like Groq and Cerebras offering alternative chip solutions.
Despite concerns about diminishing returns from traditional AI scaling, Huang remains optimistic, asserting that foundational AI development continues to advance. He reiterated Nvidia’s advantage as the largest AI inference platform globally, citing the company’s scale and reliability as critical factors in maintaining its edge.
SK Square, the holding company of AI chipmaker SK Hynix, unveiled plans to enhance shareholder value through a share buyback and other measures. The company will repurchase 100 billion won ($71.51 million) worth of shares within three months and cancel them, following a similar cancellation of shares bought in April.
The move comes after London-based hedge fund Palliser Capital proposed strategies to address SK Square’s undervaluation, with the company’s market value currently less than half the $18 billion worth of its 20% stake in SK Hynix. Palliser, which acquired a 1% stake in SK Square this year, has been in talks with the firm to improve shareholder returns.
This initiative aligns with South Korea‘s “Value-Up” program, designed to encourage companies to increase market value. SK Hynix, a key asset of SK Square, recently reported record profits driven by soaring AI chip demand from Nvidia, adding to the company’s potential for growth.
Huawei plans to begin mass-producing its Ascend 910C AI chip in early 2025, despite ongoing struggles to achieve sufficient production yields due to US trade restrictions. The Chinese telecom giant has already sent samples to tech firms and started taking orders for the chip, designed to rival Nvidia’s high-performance processors. The company faces significant challenges, as restrictions on advanced manufacturing technologies have limited its chip-making efficiency.
The Ascend 910C is produced by Semiconductor Manufacturing International Corp (SMIC) using an N+2 process but suffers from a yield of just 20%—far below the 70% required for commercial viability. Previous Huawei processors, including the 910B, achieved yields of around 50%, leading to delays in fulfilling orders from major clients like ByteDance. Washington’s restrictions, which prevent access to critical Dutch lithography equipment, have further constrained China’s ability to produce advanced semiconductors.
Huawei’s reliance on SMIC has been costly, with chips produced on its advanced nodes priced up to 50% higher than alternatives. While the company has sought supplemental production from Taiwan’s TSMC, US authorities have tightened export controls, limiting access to cutting-edge chips and forcing Huawei to prioritise strategic government and corporate orders. The escalating trade tensions underscore the geopolitical struggle between the US and China over technological dominance, with both nations doubling down on policies to secure their interests.
As Beijing pushes for self-reliance in semiconductors, Huawei’s production challenges reflect the broader impact of US restrictions on China’s tech sector. With further curbs on the horizon, Huawei’s success in advancing its AI chips may shape the next phase of the US -China tech rivalry.
California-based AI startup Enfabrica has raised $115M in a funding round to tackle one of the field’s most pressing challenges, enabling vast networks of AI chips to work seamlessly at scale. The company, founded by former engineers from Broadcom and Alphabet, plans to release its new networking chip early next year. This chip aims to enhance efficiency by addressing bottlenecks in how AI computing chips interact with networks, a problem that slows down data processing and wastes resources.
The startup claims its technology can scale AI networks to connect up to 500,000 chips, significantly surpassing the current limit of around 100,000. This breakthrough could speed up the training of larger AI models, reducing time and costs associated with unreliable or inaccurate outcomes. “The attributes of the network, like bandwidth and resiliency, are critical for scaling AI efficiently,” said Enfabrica CEO Rochan Sankar.
Investors in the funding round included Spark Capital, Maverick Silicon, and corporate backers like Arm Holdings and Samsung Ventures. Nvidia, an industry leader in AI chips, also participated, signaling strong support for Enfabrica’s mission to optimise AI infrastructure.
