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Azeri Btc Crude Oil Exports From Ceyhan Port Set At 14.95 Million Barrels In March Versus 14.52 Million Barrels In February, Schedule Shows
UK Prime Minister Starmer's Director Of Communications Tim Allan Steps Down - Guardian Reporter
Israel Budget Deficit 4.9% Of GDP In January Over Past 12 Months Versus 4.7% Deficit In December
[Bitcoin Dips Below $69K Temporarily, 24-Hour Loss Of 3.3%] February 9Th, According To Htx Market Data, Bitcoin Briefly Fell Below $69,000, Currently Trading At $68,868.58, With A 24-Hour Percentage Decrease Of 3.3%
US Energy Secretary Chris Wright Will Soon Travel To Venezuela To Meet Its Leaders And Discuss The Future Of Its State-Run Oil Company
European Central Bank's Kocher: Inflation Expectations Fully Anchored And Forex Movements Already Factored In

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Due to the previous government shutdown, the release date of the US January non-farm payroll report has been changed to February 11.
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Cambricon Technologies Corp plans to more than triple its production of AI chips in 2026, aiming to wrest market share from Huawei Technologies Co. in China and fill a void left by Nvidia Corp.’s forced exit. The Beijing-based company is preparing to deliver half a million artificial intelligence accelerators in 2026, people familiar with the matter said.
That includes as many as 300,000 units of its most advanced Siyuan 590 and 690 chips, the people said, asking to remain anonymous discussing private targets. The company will rely primarily on Semiconductor Manufacturing International Corp.’s latest production process, known as “N+2” 7-nanometer, the people said.
The ramp-up at Cambricon underscores the rapid ascent of Chinese chipmakers after Beijing began actively discouraging the use of Nvidia’s product this year, part of a longer-term effort to wean the country off US technology. Huawei is also preparing to double the output of its most advanced artificial intelligence chips over the next year. And up-and-comer Moore Threads Technology Co. debuts Friday in Shanghai, showcasing its own ambitions to carve out a slice of the market.
Cambricon’s shares rose 2.8% in Shanghai, extending its gains just before the market closed Thursday. SMIC’s stock rose 3.9% in Hong Kong, while rival Hua Hong Semiconductor Ltd. climbed 3.1%.
Nvidia boss Jensen Huang said in November that his company is effectively blocked from China, which would spur the rise of more domestic competition from the likes of Huawei. And while the Trump administration is considering a plan to allow the sale of its H200 cards, there’s no guarantee Beijing won’t also hinder its adoption.
Few companies have benefited as visibly from that situation as Cambricon, which reported a 14-fold surge in its revenue in the September quarter — and a nine-fold leap in market value since 2021. It’s now on track to win new orders from some of China’s biggest AI spenders, including Alibaba Group Holding Ltd. in the coming years, the people said. The chip designer already counts ByteDance Ltd. as a primary customer, which accounts for more than 50% of all Cambricon’s orders right now, the people said.
Alibaba, ByteDance, Cambricon and SMIC representatives did not respond to emailed requests for comment.
Whether Cambricon will hit those targets depends in large part on not just the pace of AI development, but also its ability to secure capacity at SMIC — at a time Huawei and other rivals are also vying to place orders with China’s most advanced chipmaker.
For context, Cambricon will build just 142,000 AI chips this year, Goldman Sachs estimates. SMIC’s own technology may prove an obstacle. When it comes to Cambricon’s top-of-the-line 590 and 690 chips, the company is, for now, managing yields of just 20%, the people said.
That means about 4 out of 5 silicon dies — the basic components of a full chipset — are considered flawed and unusable. The top global contract chipmaker, Taiwan Semiconductor Manufacturing Co., now has an estimated yield of at least 60% with its latest 2-nanometer process, which is three generations or seven years ahead of SMIC’s technology, according to some analysts.
Another potential bottleneck is the supply of the high-bandwidth memory chips required to make AI accelerators. That technology remains a challenge for Chinese companies, which is why Huawei’s latest 910C AI accelerators still rely on memory chips from SK Hynix Inc. and Samsung Electronics Co.
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