Daily cloud and web hosting news coverage by HostingDiscussion.com
Today’s Storystream

A Bloomberg report links AI data centers to rising electrical distortions near residential areas, threatening appliances, grid stability, and even blackouts. Whisker Labs’ data suggests over 50% of affected homes are within 20 miles of major data centers. Experts warn the volatile energy demands of AI facilities could overwhelm power grids. Utilities, however, question these claims, sparking debates over the impact of AI-driven infrastructure.

IronOrbit strengthens its North American network with a new Tier 4 cloud node in Hawaii, ensuring ultra-low latency for mission-critical applications. This move supports its SOC 2-certified DaaS solutions, enhancing productivity for businesses in the region. “This expansion reflects our commitment to delivering secure and efficient cloud services,” said Chief Commercial Officer Ayman Ayoub. The node boosts remote work capabilities and accelerates digital transformation in Hawaii.

Microsoft and OpenAI link artificial general intelligence (AGI) to a $100 billion profit benchmark, redefining its achievement by financial success rather than capability. This agreement ensures Microsoft retains access to OpenAI’s models until the startup meets this threshold. With OpenAI forecasting losses until 2029, the profit-focused AGI definition buys Microsoft time. While OpenAI’s o3 model shows promise, its high costs complicate profitability, delaying this profit-driven AGI milestone.

FS introduces PicOS® data center switches, featuring Broadcom chips and speeds up to 800G, designed for AI clusters and data-intensive tasks. With unified PicOS® software and the AmpCon™-DC management platform, these switches ensure automation, real-time monitoring, and lossless RoCEv2 networks for AI/ML. Offering flexibility, reliability, and advanced L2/L3 features, FS meets the growing demand for efficient, scalable data center solutions in a $22 billion market.

Google contractors are reportedly comparing Gemini’s outputs to Anthropic’s Claude, raising questions about compliance with Anthropic’s terms. While Google denies training Gemini on Claude, concerns persist over the evaluation process, particularly Claude’s stricter safety measures compared to Gemini’s flagged responses. This follows reports of contractors rating Gemini’s outputs on sensitive topics outside their expertise, spotlighting potential accuracy and ethical challenges in AI development.

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