Should you jump for a neocloud?

"Neoclouds, with their highly specialized focus, reduce inefficiencies and the general-purpose bloat that is often associated with traditional hyperscale cloud providers. These AI-centric clouds use advanced GPU-based infrastructure with a strong emphasis on optimizing costs and performance for AI and machine learning tasks. By meeting the increasing demand for AI compute and lowering costs through a streamlined infrastructure, they pose a threat to the dominance of the big three providers."

"What makes neoclouds unique? Basically, they are built to handle the vast computing power needed for generative AI models, deep learning tasks, and other demanding applications. Generative AI itself has revolutionized the tech world, from natural language processing to generative design in manufacturing. These tasks depend on graphics processing units (GPUs), which are far better than traditional CPUs at managing parallel processing and large data calculations."

Neoclouds are specialized cloud platforms purpose-built for artificial intelligence workloads, designed to handle generative AI models, deep learning, and other compute-intensive applications. They use advanced GPU-based infrastructure to accelerate parallel processing and large-scale data calculations, improving performance while lowering per-unit AI compute costs. Neoclouds eliminate much of the general-purpose cloud bloat by optimizing for AI cost and throughput, creating competitive pressure on major hyperscalers. These platforms introduce trade-offs and operational complexities that require enterprises to evaluate workload suitability, integration effort, interoperability, vendor lock-in risks, and total cost of ownership in multi-cloud strategies.

Read at InfoWorld