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...
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...
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,...
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...
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...
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...
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...
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...
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...
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...
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...
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....
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...
