OpenAI Launches GPT-6 Astra, Its Most Powerful Model Yet
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.
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.
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.
Apple launched new Mac Mini and Mac Studio models with its M6 and M5 Ultra chips, explicitly built for developers running AI models and agents locally instead of in the cloud.
Nvidia is in talks to invest in Perplexity at a valuation above $30 billion, a 50% jump from a year ago, as the AI search startup’s revenue triples on its new agent product.
ByteDance and Tencent each received about 10,000 Nvidia H200 chips, but Chinese regulators want the hardware kept in Hong Kong, which lacks the power to run it.
Anthropic has reportedly signed a 20-year, $9.1 billion data center agreement with Riot Platforms for 191 MW of AI computing capacity at the bitcoin miner’s Rockdale campus in Texas.