Xiaomi just crashed the AI party. The Chinese tech giant unveiled MiMo, its first large language model, marking a dramatic shift from smartphones and electric cars to artificial intelligence.
TSMC launched construction of its third semiconductor plant in Arizona today, marking the largest foreign investment in U.S. manufacturing history. U.S. Commerce Secretary Howard Lutnick visited the site to mark the milestone.
Nvidia just turbocharged its AI chips. The new Blackwell Ultra platform packs enough computing muscle to make AI reason, plan, and solve complex problems without calling for help.
The star of the show, the GB300 NVL72, connects 72 Blackwell Ultra GPUs with 36 Arm-based Grace CPUs. This monster performs 1.5 times better than its predecessor. Picture a supercomputer that fits in a rack instead of filling a warehouse.
For companies who prefer their computing power in smaller packages, Nvidia offers the HGX B300 NVL16. This system runs AI models 11 times faster than the previous generation. It processes data so quickly that it makes traditional computers look like they're solving math problems with an abacus.
Nvidia designed these chips specifically for "reasoning AI" – systems that can break down complex problems into steps and explore different solutions. Think of it as giving AI a logical brain instead of just a really good memory.
The system needs serious networking power to shuttle all that data around. Nvidia's new chips work with their Spectrum-X Ethernet and Quantum-X800 InfiniBand platforms, pushing 800 gigabits per second for each GPU. That's enough bandwidth to stream every movie ever made while still having room for cat videos.
Tech giants aren't waiting to get their hands on these chips. AWS, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure will offer Blackwell Ultra-powered services. Meanwhile, manufacturers like Dell, HP, and Lenovo will build servers around them.
Nvidia also unveiled Dynamo, new software that helps these chips run more efficiently. It's like a traffic controller for AI, making sure all those computing resources don't sit idle while expensive models run.
The company expects partners to ship Blackwell Ultra products in the second half of 2025. Jensen Huang, Nvidia's CEO, calls it a "single versatile platform" for all kinds of AI work. He probably means it will handle everything from training new AI models to helping them figure out why humans find cat videos so fascinating.
Why this matters:
Nvidia just made AI reasoning practical at scale. When AI can break down complex problems and explore multiple solutions, it moves from being a smart pattern matcher to something closer to an actual problem solver.
The race for AI infrastructure just entered a new phase. With these chips, companies can build AI systems that don't just respond to questions but actively work through problems – though hopefully not the kind that lead to Skynet.
Xiaomi just crashed the AI party. The Chinese tech giant unveiled MiMo, its first large language model, marking a dramatic shift from smartphones and electric cars to artificial intelligence.
OpenAI reversed ChatGPT's latest update Tuesday after users complained about the AI's strange behavior. The bot had started agreeing with everything - even dangerous ideas.
Meta launched an AI app that uses your Facebook and Instagram history to personalize responses from day one. Built on their Llama 4 model, the app transforms years of social media data into an AI that claims to understand your preferences, habits, and interests.
Alibaba released eight new AI language models Monday that match or beat the performance of top competitors like Google and OpenAI. The new Qwen3 family ranges from compact 0.6-billion-parameter models to a massive 235-billion-parameter version.
