Dedicated Servers: The New Backbone of Modern AI Infrastructure
Artificial intelligence is reshaping industries across the world, but behind every powerful AI system lies an infrastructure capable of handling enormous computational loads. For years, public cloud providers dominated this space. But as AI models grow bigger and the need for GPU-centric processing intensifies, companies are pivoting toward bare-metal dedicated servers . Why the Cloud Model Is Running Out of Steam for AI Cloud computing was originally designed for flexible, multi-tenant workloads that needed on-demand resources. But AI workloads represent a very different type of demand: Long, uninterrupted training runs High-intensity GPU processing Hundreds of gigabytes of data transfer Round-the-clock inference operations When workloads grow to this level, the cloud becomes not only expensive but also restrictive. The Rising Cost of Cloud GPUs GPU resources on cloud platforms are among the most expensive in the industry. For example, renting a top-tier GPU lik...