Sustainability within data center operations is often associated with capital-heavy initiatives like new cooling systems and low-carbon materials. However, it’s important not to overlook other
AI networking startup Aria Networks has gained attention following a significant funding round and its unique perspective on the future of AI infrastructure. Its co-founder,
The AI industry, which recently warned about potential electricity shortages, is now facing an unexpected challenge: a significant shortage of essential semiconductors. A new report
Unison Energy, a leading Energy-as-a-Service (EaaS) developer based in Connecticut, is tackling the power challenges that come with AI infrastructure development. Backed by Tiger Infrastructure
AI data centers are increasingly challenging the assumptions regarding how the electrical grid operates, primarily by introducing unpredictable power demands. This shift has forced utilities
Nvidia has entered into a strategic partnership with IREN, aiming to deploy up to 5 GW of AI infrastructure aligned with Nvidia’s DSX architecture, particularly
Underground facilities are increasingly gaining traction in the data center market as operators look to repurpose retired mines and bunkers from the Cold War era.
Data centers are increasingly central to the burgeoning AI landscape. The infrastructure required to train and execute AI models demands significant resources, demanding high power,
Federal data centers require significant upgrades to comply with facility-level certifications and individual system approvals. Since its inception in 2016, the Data Center Optimization Initiative
Astera Labs has launched its Scorpio X-Series 320-lane smart fabric switch, aiming to address inefficiencies in AI infrastructure caused by mismatched workload behaviors. As the