The company has unveiled a community-first AI infrastructure strategy promising no increases in local power or water costs, highlighting the mounting pressure on tech companies to balance AI growth with environmental and social impact.
Google will work with Intersect to explore emerging technologies and increase and diversify energy supply, the tech giant says.
Security leaders call the rollback ‘shockingly incompetent,’ warning it removes critical controls implemented after one of the largest breaches in telecom history.
Learn the trade-offs in flexibility, cost, and specialization between TPUs, GPUs, and CPUs for your organization's AI and machine learning projects.
Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use.
By running production workloads simultaneously on x86 and Arm, Google is signaling a new era of hardware neutrality and accelerating Arm’s growing role in hyperscale cloud environments.
Stop guessing and start optimizing. DCIM provides real-time visibility into power, cooling, space, and asset health to reduce costs, increase reliability, and future-proof your capacity planning.
Oracle’s Zettascale10 supercomputer connects 800,000 Nvidia GPUs for massive-context training and inference.
At the Open Compute Project's Global Summit this week, the semiconductor darling is announcing details of its newest superchip architecture.
Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, here's a deep dive into the technology making the AI revolution possible.
