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The ELSA Physical AI Lab at the University of Electro-Communications (UEC), Japan, focuses on integrating generative AI with robotics (Physical AI), with research centered on quadruped robots and perception models

The implementation of AI-Stack enables Kaohsiung Medical University Hospital to flexibly allocate computing power on a single platform. Whether for emergency AI, pathology AI, nursing AI assistants, or cross-hospital database

Plan to Introduce AI Technology for Product Image Inspection Union Tool, a manufacturer of ultra-hard drills, end mills, and metal-processing equipment, is a world-leading producer of PCB drills that bore

Solutions

In an era where AI and deep learning have become core competitive advantages for enterprises, the performance of AI software relies on stable and efficient computing resource support. Traditional server

The rapid development of generative AI has driven massive demand for efficient and scalable AI data centers while introducing a series of challenges. AI-Stack not only helps AI data centers

Business Challenges Manufacturing industries face the following core challenges when implementing AI technology in their digital transformation: Solution Overview The physical world of manufacturing is several times more complex than

Featured Articles

Google I/O 2026 unveiled Gemini Omni Flash with conversational editing and physics simulation, while open-source LTX-2 brought local deployment within reach. Cloud flagship vs on-premises open-source — which path fits
AI processors exploded in 2026! What do GPU, NPU, TPU, LPU, and DPU each do? A complete guide to the five-PU family, their differences, selection logic, and why enterprises now
SoftBank teams up with NVIDIA and Foxconn to build "Made-in-Japan" AI servers, targeting the $524B AI server market by 2030. A deep dive into why now, what sovereign AI really

Technical Support

INFINITIX has seamlessly integrated Elastic Distributed Training into AI-Stack, supporting mainstream frameworks like Horovod, DeepSpeed, Megatron-LM, and Slurm. In this article, we will provide a step-by-step demonstration of how to
Many developers still encounter issues with GPU resource partitioning when using Kubeflow. This article will guide you step-by-step on how to perform Kubeflow GPU partitioning using Infinitix's ixGPU module.
Kubeflow, as an open-source machine learning platform based on Kubernetes, has become increasingly popular in the machine learning field in recent years. Infinitix's ixGPU module can help developers arbitrarily partition

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