Back to home
Technology

$37 billion 'Stargate of China' project takes shape — country is converting farmland into data centers to centralize AI compute power

Source

Tom's Hardware

Published

TL;DR

AI Generated

China is embarking on a $37 billion project to convert farmland into data centers in Wuhu, aiming to centralize AI compute power and compete with the U.S. The project, dubbed the "Stargate of China," involves consolidating dispersed data centers into a unified network using Huawei's UB-Mesh tech. The data centers will serve major cities like Shanghai and Hangzhou, enhancing AI applications for residents. China is strategically locating new data centers near large populations and repurposing existing facilities to focus on training LLMs, while also planning to link underutilized data centers for redundancy and surplus compute sales. This move is part of China's efforts to rapidly develop its AI capabilities and reduce reliance on foreign technology amid a competitive chip dominance battle with the U.S.

Read Full Article

Similar Articles

Huawei reveals long-range Ascend chip roadmap — three-year plan includes ambitious provision for in-house HBM with up to 1.6 TB/s bandwidth

Huawei reveals long-range Ascend chip roadmap — three-year plan includes ambitious provision for in-house HBM with up to 1.6 TB/s bandwidth

Huawei has unveiled its long-term Ascend chip strategy, with plans for four new chips over the next three years, including the Ascend 950PR and 950DT in early 2026. The company aims to incorporate in-house HBM technology with up to 1.6 TB/s bandwidth in its upcoming chips, challenging competitors like SK hynix and Samsung. Despite facing constraints due to U.S. sanctions limiting access to advanced nodes and packaging lines, Huawei is pushing forward with ambitious plans for AI compute clusters like the Atlas 950 and 960 systems. To compete with Nvidia, Huawei will need a comprehensive platform that matches in training, efficiency, and model throughput.

Tom's Hardware
Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.

SemiWiki
MindsEye's sabotage mission is being slammed as dull and pointless

MindsEye's sabotage mission is being slammed as dull and pointless

Build A Rocket Boy accuses individuals of sabotaging MindsEye's launch, spending over €1 million on damaging efforts. The studio integrates the controversy into a new in-game mission, Blacklist, to showcase evidence of sabotage to players. However, reports describe the mission as lackluster and failing to deliver a compelling narrative. Critics attribute the launch issues to internal problems, such as management and design decisions, casting doubt on the sabotage claims. The saga continues as MindsEye's post-launch turmoil unfolds.

TweakTown
3DPrint.com

The Additive Chicken Coop, Part II: Rescoping

The article discusses the second part of the Additive Chicken Coop project, focusing on rescaling the project. It highlights the challenges faced in enabling JavaScript and cookies to continue reading the content. The article provides insights into the technical aspects of the project and the strategies employed to address the issues encountered during the rescaling process.

3DPrint.com

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.