Google's AI Chip TPU v5p is 2.8 Times Faster in Training LLMs than its Predecessor

Two Undergraduates Develop AI Voice Model to Rival Google's NotebookLM

Competition in the AI voice generation field is heating up. Recently, two undergraduates from South Korea partnered to create Dia, an AI voice model claimed to rival Google's NotebookLM. Despite their limited experience in AI, the two founders successfully developed an open-source voice generation tool in just three months. Dia's training relied on Google's TPU Research Cloud program, which provides resources to researchers.

XPeng's Self-Developed Turing AI Chip to Enter Mass Production in 2025 for L4 Autonomous Driving

XPeng Motors announced that its self-developed Turing AI chip, designed to support Level 4 autonomous driving capabilities, is slated for mass production in 2025.

Xiaopeng Announces In-House Turing AI Chip for Q2 Launch, Supporting 30B-Parameter Large Models

Xiaopeng Motors chairman He Xiaopeng recently announced that the company's fully self-developed Turing AI chip will be mass-produced and launched in the second quarter of this year. This progress comes as the automotive industry accelerates the application of end-to-end intelligent driving technology and the scale of AI large models continues to expand. Xiaopeng Motors is building its strongest AI brain by simultaneously developing a world base model with 35 times the parameters of mainstream VLA models, and a self-developed chip with computing power equivalent to three Nvidia Orin Xs, which is about to be mass-produced.

Nvidia Plans US-Based AI Chip Manufacturing

Nvidia recently announced plans to establish over one million square feet of manufacturing space in Arizona and Texas for the production and testing of AI chips. This represents a significant move by Nvidia to bring some of its manufacturing back to the United States. Nvidia's Blackwell chip is already in production at TSMC's Arizona facility. Additionally, Nvidia is establishing "supercomputer" manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. In Arizona, Nvidia is collaborating with Amkor and others.

Betting on a Trillion-Dollar AI Future: Nvidia to Build its First AI Supercomputer on US Soil

AI chip giant Nvidia announced it will partner with manufacturing collaborators to design and build its first AI supercomputer on US soil, marking a significant step in its supply chain strategy. Nvidia has commissioned over one million square feet of manufacturing space for production and testing of its latest Blackwell AI chips in Arizona, and for the manufacturing and testing of the AI supercomputer in Texas. Nvidia's ecosystem partners are expected to invest $500 million to support the construction of this AI infrastructure. While the...

Amazon CEO Reveals Custom Chips Lowering AI Costs, $100 Billion Investment Planned for 2025

In a recent annual letter to shareholders, Amazon CEO Andy Jassy highlighted the company's significant investment in artificial intelligence (AI). He noted that while the development and deployment costs of AI remain high, future AI usage costs are expected to decrease significantly as technology advances. Image Note: Image generated by AI, image licensing provider Midjourney. Jassy revealed that Amazon plans to invest up to $100 billion in capital expenditures in 2025.

Google Reiterates $75 Billion Capital Expenditure Plan for 2025, Continuing AI Infrastructure Investment

According to AIbase, Google's parent company Alphabet has reaffirmed its $75 billion capital expenditure plan for 2025 in recent earnings calls and public statements. This underscores Google's continued commitment to infrastructure development, particularly in maintaining its leadership position in Artificial Intelligence (AI). The massive investment focuses on AI computing power. As a global tech giant, Google's capital expenditure plans are closely watched by the industry. AIbase analysis indicates that the reiterated $75 billion...

Sutskever's New Company, SSI, Bets on Google Cloud TPUs to Accelerate Safe Superintelligent AI Development

Samsung's Q1 Profit Expected to Drop 21% Due to Weak AI Chip Sales

Jimeng 3.0 Internal Testing: Direct Output of 2K Commercial Posters, Enhanced Image Quality and More Precise Design Layout

Designers woke up to a collapsing world. Jimeng quietly launched the internal testing of its 3.0 model. The new model has made significant breakthroughs in image quality, generating images with rich details and superior quality from simple text prompts. Jimeng 3.0's core advantage lies in its precise control over complex scenes and details. By inputting short prompts, the model can generate visually stunning images in a short time, such as realistic natural landscapes or exquisite portraits. Compared to previous versions, Jimeng 3.0 shows significant improvements in scene layout, color matching, and detail rendering.