NVIDIA stories
Akamai and NVIDIA are expanding their security partnership to embed Zero Trust controls into AI factory infrastructure.
AI operators face a standardised route to megascale sites as Supermicro bundles cooling, power and networking for deployments from 5MW to 1GW.
Retailers can now flag shoplifting in live footage within seconds, as the new tool works without model training or data labelling.
Windows users can now run trillion-parameter AI models locally as NVIDIA targets enterprise developers with a deskside workstation and new security controls.
Software groups in chip design and healthcare are already using Nvidia's new agent tools to automate complex workflows with tighter security controls.
Privacy-focused local AI agents are moving on-device, as Nvidia and Microsoft add security controls and wider app support to Windows PCs.
The 136 MW design could help operators bring high-density AI sites online faster while easing grid strain and cooling bottlenecks.
More than 1,000 games and apps now support Nvidia's RTX features, as the chipmaker also readies a new compact PC design for AI tasks.
Chipmakers face higher costs and slower production as TSMC deploys Nvidia AI across lithography, inspection and fab scheduling.
New robotaxi projects in Taiwan, Southeast Asia, Europe and Saudi Arabia could help Nvidia turn Drive Hyperion into a standard platform for fleets.
New silicon-level controls aim to curb unauthorised agent access and data exposure in enterprise AI storage, while keeping traffic fast.
Universities and labs gain a shared humanoid platform for testing dexterous robotics, with NVIDIA aiming to cut integration delays.
Windows PCs with up to 128GB of unified memory could let developers and creators run larger AI models locally, Microsoft said.
Gamers could get quieter sessions and easier upgrades, with the 16-inch model packing Nvidia's RTX 5070 and user-accessible memory slots.
Creative professionals could run large AI and rendering workloads locally as ASUS adds laptops and a mini PC built on NVIDIA RTX Spark.
The certification could help enterprises cut AI storage bottlenecks as they scale NVIDIA-based systems from pilots to production deployments.
The recognition bolsters confidence in BoodleBox as colleges and universities weigh transparent AI tools against concerns over governance and classroom use.
Rising AI demand is pushing operators to redesign facilities around denser racks, heavier power loads and liquid cooling.
The funding will help the London-based firm expand products aimed at easing AI data centre bottlenecks and broaden its industrial platform.
Enterprises can now cut AI inference spend as the new platform reuses model data, with USD $20 million in backing.
