AI Large Models: Why Should They Run Locally?

Huawei FlashComm Technology Boosts Inference Speed of Large Models by 80%

Ali Tongyi Lab Launches ZeroSearch: Allowing Large Models to Self-Search Without APIs

HeHe Information Launches MCP Service to Help Efficient and Intelligent Document Processing for Large Models

Kimi joins Xiaohongshu: AI large models shift from traffic competition to in-depth content creation

Shanghai Promotes Innovation and Upgrading of the Automotive Industry, Strengthening Applications of Innovative Technologies such as High-Performance Computing Chips and Intelligent Driving Large Models

Shanghai is actively promoting innovation and upgrading within its automotive industry, focusing on the application of advanced technologies including high-performance computing chips and intelligent driving large models. This initiative aims to enhance the competitiveness and technological advancement of the city's automotive sector.

Revenue Target Increased Nearly 10-Fold! Commercialization of Innovative Medical AI Large Models Accelerates, Aiming for 40 Million Next Year

Accelerated Transformation of Banking Technology: Large Models Deepen into Core Business

As the challenges and pressures faced by the banking industry in digital transformation intensify, more and more banks are beginning to integrate large model technology into their core businesses, rather than simply relying on chatbot applications. The latest financial reports show that some major domestic banks have made significant progress in technology investment and large model applications, but also reveal a trend of differentiated investment. According to an analysis of ten major banks by Titanium Media App, including the six major state-owned banks and several joint-stock banks, six of them have seen a reduction in technology investment. For example,

Tencent Cloud's Wang Qi: Large Models and Knowledge Bases Empower Enterprise AI Application Landing

At the recently concluded 2025 Tencent Global Digital Ecosystem Summit Chengdu Forum, Tencent Cloud Vice President Wang Qi delivered a compelling speech on how enterprises can effectively implement Artificial Intelligence (AI) applications. He highlighted that combining large models with knowledge bases is currently the optimal path for enterprises to achieve AI implementation. Wang Qi emphasized that Tencent Cloud adheres to a "core technology self-research + embracing advanced open source" multi-model strategy, a philosophy that permeates Tencent's comprehensive layout across underlying computing power, foundational large models, model development platforms, and intelligent applications. Image source note:

Xunlei Upgrade: One-Click Download for Large Models, Enjoy Accelerated Experience!

In today's rapidly developing AI landscape, developers often need to download massive model files. Traditional methods of downloading individual files one by one are time-consuming and cumbersome, and organizing the resulting files can be a headache. To address this, Xunlei recently released an updated plugin with significant upgrades for large model downloads, offering a seamless experience with automatic loading of complete files, intelligent archiving, and one-click download. The upgraded one-click download feature is designed to dramatically improve download efficiency.

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.