20
Jul
Hyderabad (Telangana) [India], July 20: Now that artificial intelligence, generative AI, and large language models (LLMs) have moved beyond experimentation into large-scale enterprise deployment, it is becoming increasingly clear that traditional cloud infrastructure is struggling to support modern AI workloads. For years, traditional cloud computing infrastructure enabled digital transformation through scalable storage, virtualisation, and remote access to enterprise applications. But the rise of GPU computing, real-time AI inferencing, high-performance computing (HPC), and sovereign cloud infrastructure has exposed serious architectural limitations. The question is no longer whether enterprises should move to the cloud. The real question is whether legacy cloud environments are capable of supporting the computational intensity, speed, and resilience required…
