AI Data Centers Face a Networking Bottleneck as GPU Clusters Grow

AI data centers face a new networking bottleneck as GPU clusters grow, making fabric design, congestion control, and vendor ...
MarketWatch

New ClearML Report Reveals Cost and Governance Concerns Dominate as Nearly Half of Enterprises Waste Millions on Underutilized GPU Capacity

SAN FRANCISCO, CA / ACCESS Newswire / December 16, 2025 / ClearML, the leading solution for GPU management and unleashing AI in the enterprise, today released its annual State of AI Infrastructure at ...
VentureBeat

5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity ...
The Next Platform

CoreWeave’s 250,000-Strong GPU Fleet Undercuts The Big Clouds

CoreWeave, the upstart GPU cluster datacenter operator that was formerly a relatively small cryptocurrency miner based in Roseland, New Jersey, has filed its S-1 form with the US Securities and ...
SiliconANGLE

Foundry Technologies launches resellable GPU instances for more cost-effective AI

Cloud computing infrastructure startup Foundry Technologies Inc. is looking to disrupt the artificial intelligence compute industry with the launch of Foundry Cloud Platform, a real-time market and ...
Nasdaq

Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster

NVIDIA Blackwell Cluster Launch Target of May 8, 2026; Additional Three-Cluster Deployment is Roadmap to $72 million in Annual Recurring Revenue ROAD TOWN, British Virgin Islands, April 27, 2026 ...
Hosted on MSN

OpenAI, AMD, Nvidia, Intel, Microsoft, and Broadcom release an open protocol to stop GPU clusters from crashing during large-scale AI training

Training a frontier AI model means keeping thousands of GPUs synchronized for weeks on end. When a single network link fails, the entire job can crash, wiping out days of compute that cost millions of ...
The Economist

Training AI models might not need enormous data centres

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...