Fujitsu and Supermicro partner to build Arm-based, liquid-cooled AI data centers
A high-performance, energy-efficient platform
Data center articles
Reopening Three Mile Island nuclear plant for Microsoft data centers could cost taxpayers $1.6 billion
AI, the worst nuclear accident in US history, and billions of tax dollars: a winning combination
Data centers are wasting energy by running processors at full speed
A simple server setting could slash data center power consumption
Oracle-backed Ampere explores sale amid shifting semiconductor landscape
It looks as though an IPO is off the table -- for the moment
How to build a server in "100 easy steps": The growing pains of modern data centers
Configuring GPU data centers is proving to be a headache
Laptop makers complain about AMD neglecting them, favoring data center clients
The company is accused of leaving "billions on the table" with laptop partners over supply issues
Microsoft details its first AI SoC: Maia 100 promises affordable AI acceleration
Maia likely won't beat Nvidia's H100 in a race, but cheaper can't hurt sales
Broadcom is working to integrate optical connectivity directly into GPUs
Improvements in silicon photonics could solve today's power issues with AI accelerators
Cerebras challenges Nvidia with new AI inference approach, claims speed advantage
The company claims wafer-scale technology can set new standards in AI inference performance
AMD's $5 billion ZT acquisition: Strategic play or overpriced gamble?
Bottom line: The strategic rationale behind AMD acquiring ZT makes sense, to a point, but $5 billion is a lot to pay, especially when the true value of the transaction relies heavily on the price AMD will get when they spin off ZT's manufacturing unit.
Open Compute Project is developing a low-carbon concrete solution for data centers
New concrete formulas should cut the amount of greenhouse gases trapped in data centers
AMD just spent $4.9 billion to buy hyperscale server maker ZT Systems
The move should boost AMD's AI infrastructure presence
Virginia data centers consume too much water, and things will only get worse with AI
A thirsty potato: According to private records obtained by the Financial Times through freedom of information requests, data center facilities in Virginia have experienced a significant increase in water consumption in recent years. The rise of generative AI could exacerbate this issue, potentially contributing to an environmental disaster in the making.
Icelandic trio launch all-in-one cloud solution powered by renewable energy
In a nutshell: Iceland meets most of its energy needs through various forms of domestically produced renewable energy. According to three companies developing a new data center service, the Nordic island nation could also be the ideal environment for mission-critical cloud applications.
Micron launches industry-first PCIe 6.0 SSDs for data centers
Up to 26 GB/s sequential read speeds
512-core AmpereOne Aurora processor with custom AI engine and HBM memory support announced
Powerful but efficient hardware for cloud-native AI computing
Nvidia Blackwell server cabinets could cost somewhere around $2 to $3 million each
Who is profiting from AI (besides Nvidia)?
Micron says its new 9550 Gen5 drive is the world's fastest data center SSD
Bringing blistering IOPS speeds for data centers
Data centers could use as much as a third of Ireland's energy supply by 2026
Generative AI is adding insult to injury while greenhouse emissions are increasing
Ceramic Nano Memory comes to the US, promising a data storage revolution
New data storage technology requires minimal energy and lasts for thousands of years
Samsung joins the 60 TB SSD club, teases future 122 TB model
Large-capacity SSDs for read-intensive data center workloads
Google's greenhouse emissions are growing because of AI, and AI could help with that
Generative algorithms need a lot of energy
Is there a sustainable model for AI factories?
Navigating the heavy freight of AI data processing
Editor's take: Investors usually hate airlines – they're capital-intensive, have high operating expenses, limited suppliers, and no way to differentiate with customers. How are AI factories any different?
Bill Gates says we don't have to worry about AI energy use
"Let's not go overboard on this"
