Infrastructure & Hardware

Infrastructure and hardware comprise the physical compute systems, specialized chips, and data center components that power artificial intelligence workloads. Truncated covers chip architectures, supply chains, energy requirements, and the hardware deployments that enable large scale computing.

Thursday 5 November

Data centers are turning to old jet engines as the wait for power grows

AI-generated summary Facing long delays for grid connections, some artificial intelligence data centers are turning to converted jet engines to generate their own electricity quickly. Companies including xAI and OpenAI have utilized the rebuilt turbine units to power sites, while other firms navigate lengthy waits for traditional power supply.

Also covered by Interesting Engineering Decrypt

"Used 5% of the time": AI already made your RAM pricier, and now OpenAI's Sam Altman says it's wasted in your Windows PC

AI-generated summary OpenAI CEO Sam Altman stated on a podcast that keeping limited DRAM in personal computers used five percent of the time is quite terrible for global allocation. Microsoft executive Satya Nadella instead promotes unmetered intelligence with models running locally on Windows PCs.

Also covered by theverge.com XDA videocardz.com
+10 moreEngadget www.tomshardware.com Decrypt sdxcentral.com Digital Trends PC Gamer AIStockWire techradar.com CNET inc.com

Renewable Innovations joins US DOE lab project on fuel cell power for AI data centers

AI-generated summary Renewable Innovations announced it has joined a US DOE-backed research project to develop fuel cell power systems for AI data centers. The initiative will test how tightly coupled fuel cell and compute-rack architectures cope with the dynamic power profiles of AI workloads and includes a field demonstration at the Sky Data Centers site in Santa Rosa, California.

Big Tech’s big AI buildout will not end until someone stops it

Graphic image of a data center.

AI-generated summary Amazon, Microsoft, Alphabet, and Meta announced plans to spend at least $720 billion on capital expenditures this year alone, with most funds directed toward artificial intelligence infrastructure. The spending plans triggered a sharp selloff in tech stocks as investors question when they might expect to see a return on investment from artificial intelligence.

Also covered by Bloomberg ft.com Tech Policy Press