Green IT & Sustainable Data-Center Infrastructure: From buzzword to board-room priority
For nearly a decade, sustainability in technology has been mentioned only in keynote speeches, annual reports, and CSR sections of […]
For nearly a decade, sustainability in technology has been mentioned only in keynote speeches, annual reports, and CSR sections of […]
The exponential growth of generative AI, LLM-based applications, large-scale inference workloads, and GPU-centric training clusters has redefined what modern data
Artificial Intelligence has triggered the single largest transformation in digital infrastructure since the invention of cloud computing. Over the past
The world is generating more digital data in a single year than in the first three decades of the computer
In the era of ever-increasing digitalisation, hyperscale artificial intelligence workloads, edge computing proliferation and the global proliferation of data centres,
In just a few years, artificial intelligence (AI) has transformed from a niche computational pursuit to a global infrastructure challenge.
The global digital economy is expanding faster than ever, driven by AI, streaming, cloud adoption, 5G, IoT, and real-time enterprise
Technology continues to evolve at unprecedented speed, pushing the global infrastructure ecosystem toward a more distributed, resilient, and intelligent model.
Introduction As artificial intelligence (AI) workloads scale exponentially, the underlying data center infrastructure that powers them faces unprecedented complexity. Traditional
Edge & Distributed Data-Centers: Why “Closer to the User” Matters Nowadays For the past two decades, the digital world revolved