AI Data Centers · Thu 5 Nov

AI data centers are the physical facilities built to house the specialized hardware and networking required to train and run machine learning models. Truncated covers facility design, power sourcing, cooling technologies, infrastructure investments and regional development.

Thursday 5 November

Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory

AI-generated summary NVIDIA says its Vera Rubin NVL72 delivers up to thirty times the throughput per megawatt of GB300 NVL72 at one hundred sixty tokens per second per user on SemiAnalysis AgentX. NVIDIA says NVFP4 reduces the model footprint by approximately three point five times relative to FP16 and one point eight times relative to FP8.

Also covered by NVIDIA Blog IT Pro blockchain.news

From compute race to data showdown: The agent era will be won in the storage layer

AI-generated summary Huawei states that the next stage of enterprise artificial intelligence will depend less on purchasing graphics processing units and more on rebuilding data infrastructure. Huawei introduced the OceanStor A800 and OceanStor Pacific products to serve as an artificial intelligence data platform and data lake for knowledge and memory generation.

IREN stock plunges 18% as Microsoft raises concerns over data center delays By Investing.com

AI-generated summary IREN shares dropped 18 percent Thursday after a report detailed Microsoft raising concerns regarding data center delays and execution risks. Microsoft officials met with IREN last week to negotiate a revised timeline that could delay completion by several weeks or months.

Also covered by theinformation.com datacenterdynamics.com

‘Total repudiation’: The blue wave is about to hit AI

Repeated pattern of voting booths.

AI-generated summary Following the midterm elections, artificial intelligence companies face potential regulation and data center construction slowdowns after a wave of Democrats campaigned against them. Meta platforms president Dina Powell McCormick says many are considering moving data center construction abroad, while OpenAI and Anthropic did not provide comments.

Also covered by Business Insider WIRED forbes.com
+3 moreBloomberg PCWorld Foley & Lardner LLP

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

Please stop asking me when the AI bubble will pop

Key Speakers At The HKMA Global Financial Leaders’ Investment Summit

AI-generated summary PIMCO CEO Emmanuel Roman estimates that the artificial intelligence buildout could create two trillion dollars in financing needs over the next five years. Major firms like Meta, Oracle, Alphabet, and Microsoft continue to issue significant amounts of bonds to support their artificial intelligence infrastructure investments.

Also covered by bloomberg.com

The AI boom is turning fiber-optic cables into hot commodities

AI-generated summary Corning is investing $585 million in expanding manufacturing in North Carolina to meet increasing demands for fiber-optic cables from companies such as Amazon, Meta, and Nvidia. Relativity Networks developed a hollow-core fiber called ChronoCore and partnered with Prysmian to scale production and connect data centers faster.

Also covered by forbes.com Ars Technica