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 complex dance of silicon and secrecy has taken a bizarre turn. Supermicro execs, facing charges of a multi-billion dollar hardware smuggling operation, allegedly used a Thai government outfit to funnel restricted Nvidia AI GPUs straight to Alibaba.
We expected small language models to finally write reliable Bash commands. Turns out, they still trip over their own syntax. But a neat grammar trick is fixing that.
NVIDIA and IREN are forging a massive partnership to build out 5 gigawatts of AI infrastructure. This isn't just about more GPUs; it's about constructing the foundational factories powering the next wave of artificial intelligence.
The AI infrastructure race is no longer just about silicon. NVIDIA and Corning's massive fiber optics expansion signals a critical, and potentially expensive, pivot.
Forget incremental updates. Cerebras is going all in with a colossal IPO that could shake up the AI chip world, aiming for a $40 billion valuation. But can their architectural gamble pay off against the titan?
The race for truly autonomous AI agents in the enterprise just got a significant boost. NVIDIA and ServiceNow are merging their considerable forces, aiming to bring agents that don't just generate or reason, but actively *act* within complex business workflows.
Forget 'command-response.' NVIDIA's latest push aims to put reasoning, planning, and context-aware AI directly into your car's brain. This isn't just about fancier voice commands; it's a fundamental shift in how vehicles interact with us.
Nvidia's dependence on Asian manufacturing has skyrocketed to 90% of its production costs, a stark increase that raises critical questions about supply chain resilience and future product development.
AI labs are desperate for faster, cheaper compute. Anthropic's reported interest in UK startup Fractile suggests a serious play for performance gains, potentially shaking up the chip landscape.
NVIDIA isn't waiting. They're yanking co-packaged optics out of the future, slapping it onto their Feynman GPUs for a 2028 debut.
Nvidia's aging Jetson processors are getting the boot early. Blame it on the 'RAMpocalypse' and a strategic shift by memory manufacturers.