Graphics Processing Unit (GPU) stories
Data centre operators could cut energy use and rack space as Fujitsu's new 2nm chip targets AI inference with air cooling.
The buildout could give Australian startups, universities and enterprises more local AI compute as demand for training and inference rises.
Enterprises can now monitor and govern AI systems more closely as the new release adds benchmarking, compliance reporting and GPU controls.
Enterprises get new governance, monitoring and multi-tenant controls as Red Hat targets safer, scalable AI use beyond pilot projects.
The top-end iPhone range gains AI features and a variable-aperture camera, as Apple targets better photos, battery life and performance.
Rising AI demand is exposing cloud bottlenecks, as firms eye in-house open source systems to cut costs and limit vendor lock-in.
The deal puts a major open AI model hub under Nvidia's control, raising questions over whether its neutrality will survive intact.
Governments and regulated firms can now keep agentic AI on their own systems, reducing cloud dependence and tighter data controls.
Warning signs are mounting around AI spending, with one expert saying the likely fallout is a correction that leaves little enduring value.
The deployment will help AWS meet surging demand for AI computing as the cloud giant deepens reliance on NVIDIA hardware and robotics.
Cloud builders could gain more compute headroom, as NVIDIA shifts memory control off the chip and opens NVHBM to multiple suppliers.
Faster on-device AI and new connectivity are now central to Apple's smallest desktop, with models aimed at creators and developers.
New AI tools and faster media workflows are the focus as the updated desktop adds M5 Max and M5 Ultra chips plus Wi-Fi 7.
Mac users tackling AI and graphics-heavy work will get more local muscle, as Apple's latest desktop silicon pushes memory and compute higher.
Australian firms can speed month-end processing from days to an hour by running Kiraa AI on Macs instead of costly cloud servers.
It lets cloud operators pair custom XPUs with NVIDIA's rack-scale systems, aiming to cut delays and integration costs in AI build-outs.
Energy-constrained AI operators could run far more agentic tasks after NVIDIA said Vera Rubin systems deliver up to 30 times higher throughput per megawatt.
Enterprises could cut GPU use and power costs as the open-source bundle lets Akida neuromorphic chips share IBM's scheduler for inference tasks.
The new feature could cut Spark job runtimes by up to 4x, easing cloud bills for firms running data-heavy AI and analytics workloads.
Enterprise buyers in Saudi Arabia will get a locally hosted AI PC from September 2026, alongside Adobe's shift to sovereign workloads.