Introducing vMetal: Run Your GPU Data Center Like a Hyperscaler

The race to build AI infrastructure is accelerating. Across the industry, organizations are deploying massive GPU clusters to power the next generation of AI applications. New Neocloud providers are emerging, enterprises are building internal AI factories, and demand for GPU infrastructure continues to surge. But while buying GPUs has become easier, operating them like a cloud platform is still incredibly difficult. Selling raw GPU infrastructure is quickly becoming a commodity. To stand out and maximize GPU utilization, providers must deliver something more: a managed platform experience similar to EC2 or EKS, where teams can spin up environments and start running workloads immediately. Building that experience requires a complex stack of infrastructure systems, from machine provisioning to cluster orchestration to tenant environments and AI platforms. Many of the end-to-end platforms designed to manage infrastructure date back nearly two decades, while newer open source tools tend to