#data-centers

#data-centers

The paper, " Power Stabilization for AI Training Datacenters," argues that oscillating energy demand between the power-intensive GPU compute phase and the less-taxing communication phase, where parallelized GPU calculations get synchronized, represents a barrier to the development of AI models. The authors note that the difference in power consumption between the compute and communication phases is extreme, the former approaching the thermal limits of the GPU and the latter being close to idle time energy usage.

Altman declared that a 'significant fraction of the power on Earth' should be dedicated to running AI.

According to figures from researchers at Omdia, the annual datacenter capex of cloud giant Amazon alone now exceeds $100 billion, making it roughly comparable to the entire GDP of Costa Rica.

AI Growth Zones are designated sites that are well-suited to housing AI-enabled datacentres and their supporting infrastructure, requiring enhanced access to power supplies of at least 500MW.

"With the increasing data throughput required in AI and other applications, there remains a strong demand for high performance. PCIe technology will continue to deliver a cost-effective, high-bandwidth, and low-latency I/O interconnect to meet industry needs."

OneCore integrates various Vertiv technologies, including Trinergy UPS systems, switchgear, and CoolLoop Trim Cooler systems, offering centralized management via Vertiv Unify.

Navitas Semiconductor reports strong long-term positioning in GaN and SiC markets but faces a multi-quarter stock downtrend despite Q1 beating revenue and EPS estimates.

The nationwide average retail residential price for 1 kilowatt-hour of electricity rose from 16.41 cents to 17.47 cents between May 2024 and May 2025, a gain of about 6.5%.

Worldwide data center capacity will increase by 46% over the next two years, equivalent to a jump of almost 21,000 megawatts, as demand surges.

The AI Infrastructure directive addresses energy and permitting issues associated with data centers and the computational demands of running AI applications, requiring the Department of Energy to issue RFPs.

The growth in electricity demand from data centers is threatening the South's transition away from fossil fuels and toward clean energy. Current projections indicate an increase in reliance on fossil fuels, further raising carbon emissions.

The number of customers using Arm-based chips in data centers has grown to 70,000, a 14-fold increase since 2021, with a significant impact from generative AI.

AI data centers' carbon emissions are expected to surge 11-fold by 2030, with predictions that these centers will consume 612 terawatt-hours of electricity, driving a 3.4% increase in global carbon emissions.

"Bitrise plans to invest $3 million to create data centers in the EU that meet sovereign cloud requirements, ensuring that data used in app development doesn't leave the region."