The Next Web (1 hour ago)
AI data centres are creating a growing need for storage, and Fujifilm is betting that one of the oldest technologies in the business still has a place in the future. The Japanese company will invest ¥10 billion (€56 million) to increase its magnetic tape production capacity fivefold.
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The glowing Apple logo has returned to the back of the MacBook Pro, but how does it glow? Now we know.
Samsung Electronics made a record operating profit of 107.4 trillion won (about $80bn) in the third quarter, the company said on Thursday. Demand for the memory chips used in AI data centres kept rising.
Research finds almost a quarter of data center workforce are set to retire in the next 5 to 10 years, potentially leaving a considerable knowledge and experience gap.
PARTNER CONTENT: HPE Alletra MP X10000 cache offload delivers up to 20× faster time to first token in testing validated by Kamiwaza. Apparently, remembering things beats calculating them again.
Amazon has cut up to 250 jobs in its devices and services unit, Reuters reported. The unit makes Kindle e-readers, Echo speakers and other hardware that runs Amazon’s Alexa assistant. The cuts mainly affected software developers, a person familiar with the matter told Reuters.
FADU’s new SSD runs its own file system, so GPUs and DPUs can read files without CPU intervention, but samples won’t land until Q3 2027.
Hamburg startup MuRay has raised €7.1M to look inside dense metal parts, such as 3D-printed rocket engines and gas turbines. It does this with muons, tiny particles that pass through materials that block X-rays.
Lovable has opened its first London office, giving the Swedish AI app builder a second home for its engineering, product and design teams. Around 70 people are already working there, and the company plans to increase that number to 100 by the end of the year.
Google Cloud more than doubled its revenue in the third quarter, beating analysts’ forecasts, Alphabet said on Wednesday. Weaker growth in search advertising, however, meant the group as a whole fell short of expectations.
One AI “super user” in a team of five to seven people lifts the whole team’s AI adoption and usage by 56%, Atlassian’s Avani Prabhakar told TNW. Atlassian counts someone as a super user if they use AI’s most sophisticated features more than 40 times a week to change a workflow, she said.
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