Energy consumption stories
The open-source tool could cut AI token use by up to 90%, reducing processing costs and energy demand for WordPress sites.
Researchers say light-based computing could curb rising electricity demand as AI and cloud services push data centres towards higher power use.
More Claude Code users will get longer sessions as Anthropic taps SpaceX data-centre capacity to ease compute bottlenecks.
Heavy AI usage could soon squeeze power grids and water supplies as queries multiply across business and everyday search.
Businesses can now run AI on-site to cut latency, reduce cloud costs and protect sensitive data as InstaLILY opens private preview.
Data centre operators may cut power use sharply as Iris Nova is offered for evaluation, with Lumai targeting real-time AI inference on large models.
Government support helped the Melbourne startup move CL1 from prototype to a globally available biological computer and cloud service.
Real-time streaming could curb the soaring electricity use of AI data centres, helping Australia’s sector grow without bigger energy bills.
Enterprises could cut AI running costs and emissions sharply as EDB says its database stack reduces token use and compute demand.
Greater awareness of the cloud's environmental footprint could prompt more Mac users to delete old files, a survey suggests.
Rising electricity and water demands from AI facilities are driving a push for common sustainability standards and green finance criteria.
Rising AI storage demand is putting data-centre energy use under scrutiny as Western Digital reports progress on emissions, materials and recycling.
Better network utilisation could curb emissions from AI racks by about 200 tons of CO2 a year, NeuReality said.
Manufacturers could cut downtime as real-time sensor data on bearings and motors helps spot faults earlier and reduce maintenance costs.
The result keeps Trust among EcoVadis’s top 5% of assessed companies as buyers demand firmer evidence of supply chain sustainability.
Most technology leaders are still finding their feet as companies race to deploy AI despite skills gaps, data problems and compliance pressure.
The new targets could lift customer energy savings to 60 TWh by 2030, as the group expands into lighting software and circular services.
Rising e-waste and AI demand are pushing firms to pair secure device reuse with lower-impact data centre engineering.
The 568,000-square-foot first phase could ease capacity shortages for hyperscale and AI users in Kansas City, where power and fibre are tight.
Backed by a16z Speedrun, the start-up aims to ease AI's power crunch by proving servers can run continuously in orbit from 2027.