Regulatory filings and new business models suggest hyperscalers are shifting from simply building AI capacity to managing the enormous financial risks that come with it.
New figures position the company ahead of rivals on water consumption as hyperscalers race to prove AI's growing infrastructure footprint is sustainable.
New reports reveal regulators are examining licensing, interoperability, and product bundling practices that could affect enterprise customers' ability to switch vendors.
A new RHEL Long-Life Add-On lets enterprises keep aging infrastructure fully supported for decades, not just for vendor-defined upgrade cycles.
The company is assembling a multi-architecture stack spanning AWS, Nvidia, AMD, Arm, and its own silicon. In the agentic era, no single chip wins, so it’s betting on all of them.
AWS is betting that its Trainium chips can reshape the economics of training and inference, even as it retains a strong partnership with semiconductor giant Nvidia.
More than 60% of global AI compute capacity sits with hyperscalers, led by Google, raising new questions about control, pricing power, and access.
AI networking is revolutionizing network operations by automating processes, improving performance, and enhancing security. Learn how AI can transform your network and explore its key use cases and challenges.
The $25B initiative could redefine chip manufacturing at scale, but supply constraints and long timelines likely mean IT buyers won’t feel its effects for years.
Location isn’t enough. IT leaders are prioritizing legal and operational autonomy to shield critical data from geopolitical volatility.
