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 – what you need to know:
AI energy demand – rapid expansion of AI tech, especially large...
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 cloud-native, software-defined platforms, operators are being forced to ask an uncomfortable question: In a world...
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 increasingly complex cloud-native architectures, traditional notions of reliability are being upended. In place of static,...
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 grow more complex and power-hungry, traditional methods of keeping data centers cool are reaching their...
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) continues to expand and becomes more powerful, it also requires more energy and better systems...
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 strategy
Vertically integrated, monolithic systems are reliable, but slow to evolve. By decomposing functions into microservices,...
SoftBank and KDDI are moving fast to have a leading position in the AI infra sector in Japan with their AI data centers
Japan is rapidly becoming a hub for artificial intelligence infrastructure development. With major companies and global tech...
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 architectures, operators face key decisions about cloud deployment models. Before, telco clouds were private clouds...
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 evolve, the demand for high-performance computing environments is growing at a fast pace. AI applications...
In sum – what you need to know
AI for internal telco efficiencies – AI is being used so successfully in customer care and network maintenance that service agents are solving most problems without raising tickets, and network engineers are...
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) is changing the world, and powerful hardware is needed to support its growth. One of...
As artificial intelligence (AI) continues to advance at a fast pace, data centers need to evolve to handle the growing demand for computing power. Traditional air-based cooling systems are struggling to keep up with the high heat generated by...
As artificial intelligence (AI) continues to expand, the demand for data centers has skyrocketed. AI applications require massive computing power, leading to higher energy consumption. Many AI data centers are turning to renewable energy solutions to address this challenge....
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) is growing rapidly. To support this growth, companies need powerful data centers that can handle...
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 to grow, the security of AI data centers has become a key priority. These facilities...
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 datacenters. However, scaling these datacenters efficiently comes with significant challenges. While various factors contribute to...
As artificial intelligence (AI) continues to expand at a fast pace, data centers needs to evolve to handle its demands. AI data centers are designed to support complex AI workloads, while traditional data centers focus on general computing tasks....
Spirent's Principal Product Manager says that Wi-Fi 7 can finally deliver the speeds that ISPs promise — all the way to the end user
During a presentation at the Wi-Fi Forum, Janne Linkola, principal product manager in Spirent's Automated Test...
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 a surge in AI data centers, driven by rising demand for cloud computing, machine learning...
As artificial intelligence (AI) continues to evolve, the demand for faster and more efficient computing is growing at a fast pace. One of the key innovations helping to meet this growing demand is chiplet technology. This approach to chip...
As artificial intelligence (AI) continues to reshape industries worldwide, there is no doubt that China has emerged as a global leader in terms of AI infrastructure. A key aspect of this leadership is the development of state-of-the-art data centers...
Wi-Fi 8 promises a lot — from smooth extended reality experiences to safer cities and roads to improved roaming and data offloading, thanks to proposed features like Multi-Access Point Coordination (MAPC) and integrated mmWave — but that’s all it...
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 recently unveiled an ambitious Artificial Intelligence (AI) Opportunities Action Plan, aiming to position the nation...
Unlike legacy VNFs — often monolithic and dependent on virtual machines — CNFs are designed from the ground up for cloud environments
As telecom networks evolve to meet the demands of 5G, edge computing and automation, traditional physical and virtual...
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 to grow, the demand for powerful computing infrastructure has led to the rise of hyperscale...
