Unitree Unveils Dex5 Dexterous Hand: 20 Degrees of Freedom in a Single Hand, Pushing the Limits of Human-Level Precision

OpenAI Releases O1-Pro Inference Model: High-Performance, High-Cost for Select Developers

OpenAI today announced the release of its latest high-performance inference model, O1-Pro. OpenAI states that the model offers significant improvements in performance and capabilities and is currently available to a select group of developers. O1-Pro is designed for developers building applications with 1-5 layers, supporting features like visual input, function calling, and structured outputs. It seamlessly integrates with OpenAI's response and batch processing APIs. However, this enhanced performance comes at a cost...

Light-R1-32B: A Low-Cost, High-Performance Star in Math Problem Solving

On March 6, 2025, a new language model called **Light-R1-32B** was officially launched. Built upon the **Qwen2.5-32B-Instruct** model, this mathematical problem-solving tool, specially trained for exceptional mathematical abilities, low training costs, and reproducibility, is a significant highlight in the field of artificial intelligence. The development team xAI stated that Light-R1-32B not only surpasses similar models in performance but also provides significant benefits for academic research and practical applications.

DeepSeek Open Source Week Day Five: 6.6 TiB/s Blowout! 3FS Redefines AI Storage Infrastructure

The South Korean government plans to purchase 10,000 high-performance GPUs to boost AI competition

Schneider Electric Warns: AI Data Centers May Consume Grid Resources

Schneider Electric recently released a report on the future power consumption of artificial intelligence (AI) data centers, urging policymakers to carefully guide the power usage of AI data centers. The study was published following last month's International Energy Agency (IEA) Global Energy and AI Conference, titled 'Artificial Intelligence and Power: A System Dynamics Approach.' The report explores various scenarios of power consumption related to AI, highlighting the potential strain on the power grid from the continuously growing AI infrastructure. Image source note: Image generated by AI, image.

Under the Stimulation of AI Demand, TSMC's Net Profit in the Third Quarter Increased by 54% to $10.1 Billion

Against the backdrop of rising global chip demand, semiconductor manufacturing company TSMC announced its financial results for the third quarter of 2024, which were impressive. The company reported a net profit of NT$352.3 billion (approximately $10.1 billion), an increase of 54% compared to the same period last year. This achievement surpassed market analysts' expectations, with Reuters previously estimating a net profit of NT$300.2 billion. Image source: The image was generated by AI, provided by the image licensing service Midjourney. TSMC is a global leader in advanced chips.

NVIDIA Blackwell GPU Demand Soars, Supply Sold Out for Next 12 Months

Recently, NVIDIA's latest generation Blackwell GPU has sparked unprecedented demand, with CEO Jensen Huang revealing in an investor meeting that the supply for the next 12 months is completely sold out. This phenomenon is similar to the explosive demand for the Hopper GPU a few months ago, indicating a strong market desire for high-performance computing. This surge in sales is primarily driven by traditional clients, including AWS, Google, Meta, Microsoft, Oracle, and CoreWeave.

Foxconn and Nvidia Join Forces to Build Ultra-High-Performance AI Supercomputer

Recently, Foxconn (Hon Hai) and Nvidia announced an exciting collaboration plan to build a massive supercomputer. This computer will use Nvidia's latest Blackwell chip architecture and is named the 'Hon Hai Kaohsiung Supercomputing Center'. This project was officially unveiled during the recently concluded Foxconn Technology Day event. Image credits: The image is generated by AI, and the image is licensed by service provider Midjourney. The scale of this supercomputer is enormous.

Shusheng·Puyang 2.5 Open Source Ultra-Lightweight 1.8B, High-Performance 20B Various Parameter Versions

On July 4, 2024, the Shanghai Artificial Intelligence Laboratory launched the new version of the Shusheng·Puyang series model, InternLM2.5, at the WAIC Scientific Frontier Main Forum. This version has significantly enhanced reasoning capabilities in complex scenarios, supports 1M ultra-long context, and can autonomously perform internet searches and integrate information from hundreds of webpages.

OpenDiT: High-Performance DiT Training and Inference System

OpenDiT is a high-performance system for DiT training and inference. OpenDiT enhances training and inference efficiency through optimized kernels, hybrid parallel methods, and technologies such as FastSeq. OpenDiT offers an easy-to-use interface, allowing users to effortlessly generate text-to-image and text-to-video outputs. The core technologies of OpenDiT include optimized kernels, hybrid parallel methods, and FastSeq. The emergence of OpenDiT facilitates training and inference for DiT applications.