In a discussion about inferencing it became clear that ‘getting AI out to end users’ at SMBs and enterprises requires rapid distribution of high-end CPUs or low-end GPUs at massive …

As enterprises scale AI workloads, the underlying fiber network becomes a critical enabler – not just to move data, but doing so smartly and reliably. The second part of our …

The pair will enhance Airtel Cloud by combining Airtel’s telecom-grade platform with IBM’s AI-ready infrastructure and software In sum – what to know: IBM–Airtel alliance targets regulated sectors – The …

AI workloads are changing the way fiber networks are being designed, deployed, and upgraded; they also change how we should assess them. No longer just about reach and speed, connectivity …

The Industrial AI Cloud, powered by up to 10,000 Nvidia GPUs, will allow manufacturers, automakers, and robotics firms to deploy AI-driven digital twins, predictive maintenance, and large-scale simulation workloads In …

With electricity capacity set to rise 30% this year and $70 billion in planned investments for 2026, China is building AI infrastructure at scale. Enterprise AI services and domestic chip initiatives …

AI compute isn’t one thing. It’s two. Under the umbrella of “AI workloads,” training and inference represent distinct computational worlds with different goals, hardware profiles, and economics. They often get …

Most CPSs are looking for modernized, cloud native automation platforms, says Blue Planet’s Kailem Anderson RCR Wireless‘ Kelly Hill spoke with Blue Planet VP and GM Kailem Anderson about what …

Artificial intelligence has reshaped the semiconductor industry, driving an endless chase for better performance and efficiency. But as transistor scaling slows and Moore’s Law fades, the gains from smaller nodes …

The EIB will work with the European Commission to evaluate project proposals that meet key technical and financial criteria In sum – what to know: AI gigafactory plan – The …