Energy & Environment · Tue 10 Nov

Energy and environment topics encompass the electricity consumption, water usage, and carbon emissions associated with training and operating AI models. Truncated covers power grid impacts, utility contracts, nuclear energy deals, and resource efficiency developments.

Yesterday · Tue 10 Nov

Stanford’s AI100 Report Examines The Cost Of AI Progress

AI-generated summary The 2026 report from Stanford's AI100 examines both the gains from generative artificial intelligence and the unresolved questions surrounding its economic and societal impact. The study highlights an infrastructure boom with consequences for capital markets, electricity demand and freshwater supplies, while noting that artificial intelligence is not yet paying its way.

Also covered by TNW | Artificial-intelligence Tech Xplore

The CIO dilemma: Scaling production AI without breaking the power grid

AI-generated summary HPE and AMD are partnering to provide enterprise infrastructure that combines AMD EPYC processors, AMD Instinct GPUs, and HPE Cray architectures to scale artificial intelligence and high-performance computing workloads. To address power consumption and data center scalability, AMD EPYC CPUs and HPE thermal management technologies aim to improve energy efficiency while integrating hardware-based security features.