Challenges in Open RAN testing include inconsistent output from OTICs, according to industry experts
It has been nearly a decade since the telecom industry began its concerted push toward Open Radio Access Networks (Open RAN). Open RAN appeared to be...
New report from Deloitte highlights the major challenges facing expansion of data center and power infrastructure
The power needs for data centers, particularly those designed for artificial intelligence computing, are expected to grow rapidly—and it's already a major bottleneck for...
SGP.32 introduces a streamlined eSIM architecture for IoT, enabling global, zero-touch provisioning. It reduces complexity, boosts flexibility, and shifts power dynamics all over the place. Here’s the skinny… Note, this is the last chance to sign up to RCR's...
When it comes to network impacts of gen AI, watch the uplink: Ericsson Mobility Report
Artificial intelligence, and generative AI in particular, is causing a "fundamental shift" in the nature of network traffic, according to the newly released Ericsson Mobility...
Cloud-native networks may help operators minimize energy use, reduce carbon footprints and lower costs
Cloud-native architectures are reshaping telecom networks, often spotlighted for their agility, speed to market and operational flexibility. But they also deliver another vital, often overlooked benefit:...
In neutral-host private networks, testing and integration are particularly important
There are a number of network testing challenges that are evident at the halfway point of the 5G era—most prominently, Fixed Wireless Access (read more here), the nascent integration of...
FWA services have been a success. What has that meant for testing?
One clear success for 5G thus far has been the emergence of 5G Fixed Wireless Access broadband services, providing new revenues and a basis for converged service...
What do modern network test and assurance tools and strategies need to look like, to satisfy operator needs and provide a positive user experience?
Complexity is one of the fundamental issues that the wireless industry—and the test segment in...
SK Telecom, South Korea’s leading telecommunications company, is making significant strides in AI infrastructure to position itself as a global powerhouse
Through its comprehensive “AI Infrastructure Superhighway” and “AI Pyramid Strategy,” the Asian telco is investing heavily in AI data...
The Stargate AI project is one of the most ambitious infrastructure initiatives ever launched to support AI
Spearheaded by a powerful group of technology and investment firms, this massive project aims to build the physical and digital backbone for the...
As AI becomes more embedded in our daily lives, supporting infrastructure must evolve to meet the surging demands.
While GPUs and data center design often attract the attention, networking is an equally critical pillar of AI infrastructure. Without robust networking,...
In telecom, ‘AI RAN’ and ‘AI in the RAN’ (AI in RAN) refer to the same concept, effectively: the integration of artificial intelligence (AI) into radio access network (RAN) infrastructure. The first is a more specific term, for which...
The European Union has unveiled an ambitious new plan dubbed InvestAI, part of which includes the buildout of large-scale AI gigafactories
At the AI Action Summit in Paris, European Commission President Ursula von der Leyen officially launched InvestAI, a €20...
Telecom operators are moving from legacy systems to cloud-native networks built for speed, scale and resilience
As global data demands accelerate and next-generation services take shape, the telecom industry finds itself at a crossroads. Operators are under pressure to break...
As AI reshapes nearly every industry, the infrastructure supporting these technologies is rapidly evolving
Though often mentioned together, AI colocation and AI edge data centers serve different roles in delivering the performance, scale and geographic reach that modern AI applications...
As artificial intelligence continues to transform industries worldwide, the demand for high-performance AI infrastructure is expanding at a fast pace
These facilities are the digital backbone for training and running AI models, from large language models to autonomous systems. But...
The Nordic region — which includes Sweden, Norway, Denmark and Finland — is becoming one of the most important areas in the world for building AI infra
Thanks to clean and reliable energy, a cool climate and well-developed power grids,...
India is actively promoting AI adoption through initiatives like the IndiaAI mission
India is rapidly emerging as a global hub for artificial intelligence (AI) development. As the demand for compute power and AI model training increases, hyperscale data centers are...
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...
