Is the AI revolution truly a GPU-only affair? AMD is betting it's not, pushing its CPUs to the forefront of artificial intelligence computation.
The digital world is being rewired. AI isn't just a feature; it's the operating system of tomorrow, fundamentally changing how we interact with technology.
The blinking cursor in the familiar white box is no more. Google has just fundamentally re-engineered its search entry point, moving from a keyword query to an AI-driven conversational partner. This isn't just a facelift; it's a tectonic shift.
NVIDIA's most powerful professional GPU, the RTX 6000 Blackwell, has crossed the $10,000 threshold, a seismic shift driven by insatiable AI workloads.
Forget incremental updates. We're on the cusp of an AI-driven revolution, and even seemingly niche chip records hint at the incredible power unleashed. This isn't just about speed; it's about what that speed unlocks.
Tencent's expensive GPUs are only paying for themselves when churning out personalized ads. That's the blunt admission, and it says everything about the real-world economics of AI.
Forget raw AI capability; the real bottleneck is now time. Fractile just raised $220 million on the audacious premise that the future of AI hinges on radically faster inference hardware.
Google I/O's Android announcements are significant, but the star was Googlebook – a laptop aiming to blend Chrome OS and Android. The question is: is this a natural evolution or a fundamental shift?
Moore's Law is taking a breather, but innovation in semiconductor manufacturing is hitting hyperdrive. AI isn't just a tool; it's the new operating system for the fab.
NVIDIA's stunning admission: the cost of running AI compute for its deep learning team has officially surpassed what it pays its human employees. This marks a new era of AI operational expenses.
The relentless march of AI into academia is here, whether campuses are ready or not. A recent workshop aimed to equip faculty and students with the tools to navigate this new frontier. But is it a genuine leap forward or just another academic treadmill?
Finally, a way to predict river temperatures without a sea of sensors. Oak Ridge National Lab's new AI model is making waves.