AMD stories
Buyers face a premium ultraportable option with up to 33 hours' battery life and AI-ready chips, as ASUS expands its range locally.
Australian buyers can now pay AUD $2,499 for Asus's anniversary handheld, which adds an OLED screen and revised controls at the top of the Ally range.
AI chipmakers can cut die-to-die link area, power and I/O by up to 50% as multi-die designs become harder to scale.
AI-related demand is set to boost HPE's networking growth, with the company now forecasting higher margins and USD $800 million in Juniper savings by 2028.
Subscribers can now run sensitive AI tasks on Ryzen AI Max PCs locally, reducing cloud use and keeping more data on device.
Direct control of production in Malaysia is meant to help Micas cut delivery risk and bring its AI networking optics into volume faster.
Local AI features could run faster, stay private and work offline as chipmakers push laptops with dedicated neural processors.
Some firms can cut server counts by 86%, freeing rack space, power and licence spend for AI and other new workloads.
A custom eBPF scheduler has lifted queries per second by about 5% on some RPC stacks, while reducing kernel change risk for production tests.
Demand for AI data-centre networking is pushing iPronics to scale its optical switch platform after a USD $125 million Series B.
Australian firms could cut server counts and energy use sharply as AI workloads push data centres to prioritise density over expansion.
The move deepens Nvidia's grip on AI server design as cloud customers seek tighter integration, lower power use and faster deployment.
Rising token bills may push firms towards local or hybrid AI, as AMD's new tool estimates when hardware beats cloud-only spending.
Asia Pacific firms are reworking data systems to meet AI rules, as Cloudera unveils a hybrid platform aimed at keeping data in place.
Data centre operators may gain relief as AMD says its AI systems could use four times less energy per unit of work by mid-2026.
Delays in planning could slow deployments and postpone productivity gains as AI systems spread across cloud, data centre and edge sites.
Rising memory prices are forcing data-centre operators to size servers by workload, not total capacity, to avoid wasting budget and bandwidth.
The deal gives AMD deeper access to spatial-intelligence research as chipmakers race to align hardware with fast-changing AI workloads.
The fresh capital will help expand cloud operations as demand surges for faster, cheaper AI inference across mixed chip architectures.
Its push into operational AI comes as about half of last year's revenue already came from machine learning and real-time data workloads.
