When it comes to AI infrastructure, “The bubble is the correction, not the collapse,” said Khasm Labs CEO Jim Brisimitzis in a compelling RCR Wireless Reader Forum entry.

Some communication service providers (CSPs) want to monetize their fiber networks, edge facilities, and data centers through GPU-as-a-service (GPUaaS) offerings, but AI and 6G infrastructure expert Vish Nandlall warns of …

While uncertainty about OpenAI’s governance and Microsoft’s stake is clarified, the deal introduces confusion about the definition of AGI and the entangled nature of competition in AI.

The economic and manufacturing challenges of creating monolithic chips is driving an evolution toward chiplet-based designs: small, functional blocks of silicon, each optimized for a specific task and combined within …

Reliable network connectivity will be crucial to AI development and deployment in small communities. AI workloads and large-scale data center developments are accelerating the need for connectivity among hyperscale campuses, …

The need for connectivity, performance, and resiliency has pushed companies to work across geographic boundaries and competencies, with hyperscalers, telcos, hardware manufacturers, and other stakeholders working together in novel ways.

According to TD Cowen, U.S. data center leasing in Q3 surpassed all of 2024, with a record 7.4 GW leased by hyperscalers, and an additional 10.2 GW of active deals …

As the AI ecosystem expands and becomes more complex, it will be increasingly important to consider DNS a mission-critical component of AI infrastructure.

The massive capital expenditure on AI infrastructure is creating a new and specialized market for testing and benchmarking, which in turn is driving collaborations between testing companies and infrastructure providers.

Because California’s tech laws often serve as defacto national standard for other states, AI stakeholders are carefully reviewing a cluster of new bills that were passed last week by Governor …