AI workloads don’t just consume energy—they consume it with patterns that are impossible to predict. This is why infrastructure upgrades are key
In sum –...
In a world of cloud-native infrastructure, is the network still the backbone — or just another service in the stack?
As telecom networks evolve into...
Telcos are adopting chaos engineering to test resiliency, reduce downtime and ensure systems can withstand real-world failures — before they happen.
As telecom networks adopt...
AI is changing the rules of data center design, and liquid cooling is emerging as a critical piece of the puzzle
As artificial intelligence workloads...
Liquid cooling technology is certainly a strategic consideration for any data center company that wants to compete in the AI space
As artificial intelligence (AI)...
DevOps is the strategy of bringing together development and operations teams to collaborate to automate the network lifecycle; CI/CD is the execution of this...
As networks go cloud-native, telecom operators face pivotal choices between telco private clouds or public and hybrid clouds
As telecom networks transition to cloud-native...
AI-optimized data centers require GPUs, TPUs, high-speed networking, advanced cooling systems, as well as fast and scalable storage
As artificial intelligence (AI) continues to rapidly...
Unlike traditional CPUs or GPUs, a Tensor Processing Unit is specifically built to handle the complex calculations required for deep learning models
Artificial intelligence (AI)...
As artificial intelligence (AI) continues to expand, the demand for data centers has skyrocketed. AI applications require massive computing power, leading to higher energy...
An AI hyperscale data center is a large facility designed to support AI workloads on a massive scale
In today’s digital world, artificial intelligence (AI)...
To protect AI data centers from cyber threats, physical intrusions and operational failures, organizations must implement strong security measures
As artificial intelligence (AI) adoption continues...
The rise of artificial intelligence (AI) has driven an unprecedented demand for high-performance computing infrastructure, leading to a surge in the construction of AI-focused...
As artificial intelligence (AI) adoption accelerates across industries, India is emerging as a key player in AI-driven data infrastructure. The Asian country is witnessing...
Last year, four major U.S. firms committed a combined £6.3 billion, or $8.16 billion, to expand AI-ready data centers in the U.K.
The U.K. Government...
Unlike legacy VNFs — often monolithic and dependent on virtual machines — CNFs are designed from the ground up for cloud environments
As telecom networks...
A hyperscale data center is a facility built with the main aim of handling large-scale computing and data processing needs
As artificial intelligence (AI) continues...
