SiliconCloud officially announced that Trae, ByteDance's first AI-native Integrated Development Environment (IDE), has integrated with the SiliconCloud platform to provide developers with a more efficient programming experience. Trae now integrates multiple SiliconCloud models; users can access various coding models such as DeepSeek-R1, V3, QWQ-32B, and Qwen2.5-Coder simply by using an API key. This flexible selection caters to diverse development needs.

Silicon-Based Flow's official WeChat account announced that, effective immediately, the DeepSeek-R1 & V3 APIs on the SiliconCloud platform now support batch inference (BatchInference). Users can send requests to SiliconCloud via the batch API, unaffected by real-time inference rate limits, with task completion expected within 24 hours. Compared to real-time inference, DeepSeek-V3 batch inference pricing is reduced by 50%. From March 11th to March 18th, DeepSeek-R1 will enjoy a 75% price reduction.

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

Tianyancha App shows that Beijing Silicon-based Liquid Technology Co., Ltd. recently underwent a major business change. In this change, Beijing Zhipu AI Technology Co., Ltd. withdrew from the shareholder ranks, while four new investors were added: Meituan's Tianjin SanKuai Technology Co., Ltd., Beijing Xinglian Dingsen Equity Investment Fund Partnership (Limited Partnership), Nanjing LvYong Jinhao Equity Investment Management Partnership (Limited Partnership), and SME Development Fund PwC (Hangzhou) Venture Capital Partnership (Limited Partnership). After this round of financing, the registered capital of Silicon-based Liquid increased from approximately RMB 13.758 million...

Taiwan Semiconductor Manufacturing Company (TSMC), the world's largest semiconductor manufacturer, announced plans to invest at least $100 billion in the United States over the next four years to build multiple new chip fabrication facilities. The announcement was made at a press conference with former US President Trump. TSMC CEO C.C. Wei stated that the investment would primarily focus on expanding its Arizona facilities. Wei added, "We will produce many AI chips to support the progress of Artificial Intelligence." This new commitment builds upon TSMC's previous pledge of a $65 billion US investment.

Recently, discussions have arisen regarding the early development of Silicon-based Fluid following reports of its completion of Pre-A round financing. A previous report by Venture Capital Daily stated that in the second half of 2023, DeepSeek's founder Liang Wenfeng expressed interest in investing in Silicon-based Fluid, with the condition of open-sourcing its self-developed LLM inference engine, which was reportedly rejected by Silicon-based Fluid's CEO Yuan Jinhui. In response, Yuan Jinhui denied these claims today, stating that his mention of not collaborating with Liang Wenfeng in 2023 was an expression of regret over his own lack of foresight.

Recently, Microsoft launched OmniParser V2.0, a new parsing tool designed to convert user interface (UI) screenshots into structured formats. OmniParser enhances the performance of UI agents based on large language models (LLM), helping users better understand and interact with the information on their screens. The tool's training dataset includes an interactive icon detection dataset, meticulously curated and automatically annotated from popular websites to highlight clickable and actionable areas.

Silicon Valley-based artificial intelligence startup Shield AI recently announced that its valuation has nearly doubled to $5 billion in a new funding round. The San Diego-based company focuses on developing AI-driven software for drones and autonomous aircraft, planning to raise approximately $200 million from several defense and aerospace companies, including well-known firms such as Palantir, Airbus, and L3 Harris. Venture capital firms Andreessen Horowitz, Point72, and Ri.

AI tycoon Chen Tianshi, co-founder of chip company Cambricon Technologies, saw his net worth skyrocket to $10 billion in 2024. This surge is attributed to Cambricon's stock price, which skyrocketed by 500% shortly after its listing in Shanghai. Despite this, market analysts remain cautious about the company's future stock performance. As of January 15, 2024, the market capitalization of Cambricon Technologies reached 291 billion RMB (approximately $40 billion), making it a major player in China's ChiNext market.

On January 11, 2025, Beijing JD Century Trade Co., Ltd. held the 2025 JD Health Annual Doctor Celebration and Smart Medical Conference in Beijing. At the conference, JD Health announced the launch of its full range of large model products "AI Jingyi," based on its online comprehensive scenarios, as well as the industry's first large model product "JD Zhuoyi" aimed at full-scene applications in hospitals. The goal is to leverage the technological capabilities of the "Jingyi Qianxun" medical large model to create a service system for large model products covering both online and offline medical health scenarios, enhancing the patient experience and supporting doctors in clinical practice.

Ibiden Co., as a major chip packaging substrate supplier for Nvidia's cutting-edge semiconductors, is considering accelerating its production capacity to address the growing market demand. Ibiden's CEO Koji Kawashima stated that the sales of substrates for AI applications are strong, and customers are rapidly depleting existing inventories, a demand expected to continue into next year. Currently, Ibiden is constructing a new packaging substrate factory in Gifu Prefecture, Japan, which is scheduled to be completed in 20

Doug LeFevre, CEO of Advantest, the world's largest chip testing equipment supplier, stated that if investment in data centers slows down, the demand for AI smartphones may help certain areas of the semiconductor industry avoid a 'vicious' recession. LeFevre indicated that he is closely monitoring whether spending by large U.S. tech companies in the AI sector is slowing down. Meta, Google, and Microsoft have been major investors in data centers that provide significant computational power. LeFevre stated that the construction of data centers...

Against the backdrop of Trump's return to the White House, top entrepreneurs from Silicon Valley are quietly becoming key technological advisors to the president. Elon Musk, Marc Andreessen, and David Sacks are among those strategizing for Trump, with their most notable point being their strong criticism of AI regulation. This group of tech elites believes that AI chatbots are emerging as a new ideological battleground. Their core concern is that large tech companies may use AI systems to propagate specific political positions, achieving a more covert and effective form of 'regulation'.