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HP and Dell are concerned about circuit board supply in 2027, Amazon invests in Jinxing Electronics

The shortage caused by the AI boom has extended from GPUs and memory to circuit boards. When planning their supply chains for 2027, HP and Dell found that even previously inconspicuous printed circuit boards could face shortages. In September this year, Amazon invested approximately 1.59 billion New Taiwan Dollars in Taiwanese circuit board manufacturer Gold Circuit Electronics, transitioning from customer to shareholder.AI servers require circuit boards with more layers and lower signal loss, and chip packaging substrates are becoming larger, driving up the demand for key materials such as specialty fiberglass cloth and copper-clad laminates. Suppliers prioritize fulfilling more profitable AI orders, squeezing ordinary servers, with some ordinary server circuit board delivery times approaching one year.It is difficult for the production capacity of key materials to keep up with demand in the short term. TrendForce estimates that Japan's Nitto Denko controls about 90% of the global T-glass specialty fiberglass cloth market, with new production capacity not expected to come online until mid-2027 at the earliest. The chairman of Taiwanese substrate manufacturer Unimicron Technology warned on October 20 that some key materials could be short by about 20% by 2027, with delivery times for some chip substrate production equipment extending to as long as 30 months.

first_img Anthropic IPO documents show that cloud channel revenue accounts for 48%

According to a report by Financial Associated Press, based on the IPO filing released by Anthropic on Monday, sales generated from the cloud markets of the three major cloud service providers—Google, Amazon, and Microsoft—accounted for 48% of Anthropic's total revenue in the first half of 2026, up from 11% in 2023. These cloud service providers collect payments from customers and transfer them to Anthropic after deducting fees, with payments to channel partners increasing by $2.7 billion year-on-year in the first half of this year. The document shows that Anthropic's sales in the second quarter were $11.555 billion, with an operating profit of $974 million.The S-1 describes the aforementioned cloud service providers as simultaneously acting as investors, customers, distribution partners, and competitors, stating that they can understand Anthropic's pricing and commercial terms. It also mentions that these companies may prioritize promoting their own AI models, raising antitrust concerns. The document lists the minimum commitments for computing power as follows: at least $114.5 billion to Google by 2033, at least $110 billion to Amazon by 2036, and $44.9 billion to Microsoft; the minimum commitments remain valid regardless of whether the computing power is actually used. Additionally, it is expected that between 2028 and 2031, $125 billion to $150 billion will be paid for additional TPU computing power.In terms of equity, Amazon and Google currently hold shares without voting rights and are not included in the list of securities with more than 5% voting rights; after the IPO conversion, both will exceed 5% ownership of preferred shares and certain convertible notes. Amazon has invested approximately $18 billion to date and has committed to invest up to an additional $15 billion under specific conditions, with related notes convertible into a maximum of 1.84 billion shares, equivalent to 10.9% of fully diluted shares as of June this year, and subject to a 12% ownership cap. Google has invested approximately $23 billion and has committed to invest an additional $20 billion upon meeting certain conditions, with the latest agreement having a maximum ownership cap of 14.99%. The document also lists a $161.2 billion equipment leasing agreement related to Broadcom, as well as a computing power procurement arrangement with SpaceXAI for up to $120.5 billion.

first_img Amazon launched the open-source tool TorchNeuron, lowering the threshold for transitioning to self-developed chips

Financial Associated Press, October 20 - Amazon launched the open-source tool TorchNeuron on the 19th local time, aiming to lower the barrier for developers to transition from NVIDIA chips to its self-developed chips, challenging NVIDIA's software barrier built on CUDA. According to reports, this tool allows AI code written in PyTorch to run on Amazon's self-developed AI chips without the need for rewriting. PyTorch is maintained primarily by Meta and is described as an open-source framework used by most AI developers.Amazon's chip design department, Annapurna Labs, introduced that with TorchNeuron, developers only need to modify one configuration to run the same code on the self-developed Trainium chip. Amazon announced the launch of this tool on the 19th local time and plans to publicly release it in a free open-source format at the PyTorch conference in San Jose, California on the 20th.Colin Brace, Vice President of Software at Annapurna Labs, stated in an interview that the launch of TorchNeuron is intended to reduce the steps required for developers to try Amazon's self-developed chips, starting from the customers' existing workflows. He revealed that over 30 early customers are already using it, covering fields such as robotics, world models, and voice AI, and mentioned that switching to Amazon chips can save costs.

first_img Meta's Muse AI assistant reads users' private information and falsely reports the method of access

Meta's personal AI assistant Muse has been accused of reading users' private iMessages without permission and providing false explanations about how it accesses this information. Technology columnist Jason Aten installed the assistant on his iPhone and Mac when Muse launched on September 8 and explicitly refused to grant it access to personal data such as information and calendars.A few days later, Muse sent Aten a notification suggesting he write a column about the new iPhone that he had just discussed with his podcast partner, also mentioning a deadline reminder from the editor. Aten asked Muse how it knew this, and it replied that the Mac application only forwards notification previews and does not involve the content of messages. In reality, Muse had synchronized over 187,000 records from the local private information database on the Mac, an operation that requires full disk access permissions on macOS.David Singleton, head of Meta's superintelligent lab, responded on Threads that this feature requires users to actively choose to opt-in. Aten denied ever turning on that switch and stated that Meta had not answered related questions. Amazon has banned Muse from shopping on its site, stating that the assistant did not indicate its AI identity while browsing and seemed capable of capturing and storing user credentials. Since its launch, Muse has been downloaded over 2.5 million times, with its promotion emphasizing user control over access.
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