AI infrastructure refers to the combination of hardware, software, and cloud systems that provide the computing foundation needed to build, train, and deploy artificial intelligence models. It includes powerful GPUs, TPUs, data storage, networking, and specialized frameworks optimized for large-scale machine learning. Modern AI infrastructure supports the full lifecycle of model development — from data preprocessing and training to deployment and monitoring. Cloud providers such as Google, AWS, and Microsoft Azure have built robust AI infrastructure platforms that enable organizations to scale workloads efficiently and securely. As AI systems grow more complex, scalable infrastructure has become a strategic asset, powering breakthroughs in generative AI, automation, and enterprise applications.
Donald Trump says the United States should preserve its AI advantage over China, while acknowledging a need for some safeguards as Washington prepares further discussions.
Xi Jinping proposed joint language-model development and specialist training across BRICS, but announced no named models, access terms or rollout timetable.
OpenAI has launched ChatGPT Images 2.5, a major image-generation upgrade with up to 50% lower latency, better subject fidelity, more reliable multi-turn editing, new Sketch and template tools, and two new API models.
Qualcomm shares rose about 10% after the company announced a multi-generation deal to build custom AI inference chips and optical networking for Amazon’s data centers.
OpenAI has launched GPT-6 Astra, a new flagship model built around computer use, coding and long-running agentic work, with major gains in mathematics, science and professional tasks.
Anthropic has released Claude Fable 5.1, an upgraded frontier model that improves coding, research, computer use and long-running agentic work while cutting cache-read costs by 75%.
Anthropic agreed to a $35 billion, six-year computing deal with Nvidia-backed Lambda, its latest megadeal in a compute-buying spree that has topped $150 billion this year.
Nvidia is building hardware optimizations for Chinese AI models like DeepSeek and Qwen, even as it warns regulators that US restrictions on such models could hurt its business.
King Slide Works, once known for cabinet hinges, now dominates the market for AI server rack rails, making founder Lin Tsung-chi Taiwan’s richest person.
OpenAI’s first custom inference chip, Jalapeño, delivered up to 1.9 times more work per watt and far lower latency than rival systems, with AI accelerating its own design.