AI Data stories
AI operators could cut data-centre costs and power use as Sandisk positions flash memory for longer-context inference workloads.
The retailer said the overhaul cut infrastructure maintenance by 50% and improved product recommendations, ratings and Gift Finder responses.
Most of Sharon AI's Australian AI Factory capacity is now spoken for, with revenue from the USD $373 million deal due from early 2027.
The tie-up aims to cut AI storage costs by shifting older training data off premium systems without losing access for retraining or compliance.
Rising AI workloads are forcing operators to simplify power and cooling controls as data centres race to come online faster and cut commissioning risk.
Safety guidance is lagging as higher-voltage systems for AI racks increase the need to model electrical faults in data centres.
Orders and revenue prospects have improved for Weebit, which lifted FY26 guidance to at least A$13.5 million after three chip designs reached tape-out.
Higher-margin sales, cost cuts and US tariff refunds lifted operating profit 147 per cent as demand broadened across appliances, TVs and vehicle parts.
The deal targets demand for governed, self-service AI environments as operators seek to turn GB200 hardware into usable services.
Exposed BMCs can let attackers take persistent control of servers, with nearly 25,000 systems leaking password data before login.
Downstream AI data leaks have more than doubled in a year, with connected services now returning unauthorised information to staff and agents.
The deal underlines lender appetite for Malaysia's expanding cloud and AI infrastructure, as the campus is set to support lower-impact digital growth.
AI and data centre demand is forcing Vertiv's Asian resellers to rethink sales plans as the group marked a decade of partner summits in Johor.
Rising electricity demand is emerging as a bottleneck for AI deployment, with some training sites approaching 1 GW and facing delays.
The hire comes as Rubix races to secure sites and power for AI campuses, with an initial global portfolio of more than 8GW.
Near-term power access in a constrained market could make the Manassas campus attractive to hyperscale tenants as demand grows.
The funding lifts the Toronto start-up to USD $26 million as insurers and fleet operators seek easier access to fragmented telematics data.
As scrutiny intensifies, the AI tool is helping firms spot billing and compliance errors sooner, reducing fines, remediation costs and customer harm.
Fragmented banking, payments and accounting data is slowing reporting and weakening AI answers for businesses trying to act in real time.
Australian publishers face a fresh revenue squeeze unless paid licensing agreements are struck with AI firms using journalism to train their LLMs.
