GPU Cloud (Neocloud)

A GPU cloud, often called a neocloud, is a cloud provider that specializes in renting high-density GPU clusters for AI training and inference, rather than offering the broad portfolio of managed services that distinguishes hyperscalers.

GPU clouds — also called neoclouds or AI clouds — are infrastructure providers whose core offering is on-demand access to clusters of high-end graphics processing units, the hardware that underpins both training large neural networks and serving them at inference time. Unlike hyperscalers (AWS, Azure, GCP), which offer broad portfolios of databases, networking services, and developer tooling, neoclouds are focused narrowly on raw GPU capacity and the high-speed interconnect fabric required to coordinate thousands of accelerators during distributed training runs.

The business model centers on acquiring clusters of NVIDIA H100, H200, or B200 GPUs — and increasingly AMD MI300X or custom accelerators — and renting them by the hour, day, or long-term reservation. High-speed interconnects (InfiniBand NDR or NVIDIA NVLink) are essential for multi-node training, and storage throughput matters for data pipelines. Prominent neoclouds include CoreWeave and Lambda Labs in the US, Crusoe Energy (which uses stranded natural gas for power), and Voltage Park. Together AI focuses specifically on inference serving. Pricing is typically more transparent and configurations more ML-optimized than equivalent hyperscaler offerings.

Neoclouds emerged as a distinct market segment around 2022–2023 when demand for GPU compute for AI training vastly outpaced supply on hyperscaler platforms, where wait times stretched to weeks and instance configurations were inflexible. Neoclouds offered shorter lead times and bare-metal-style access to large GPU clusters, attracting AI labs, startups, and enterprises that needed burst capacity without committing to a hyperscaler's broader ecosystem.

By 2026, the neocloud market is capital-intensive and increasingly competitive. CoreWeave went public in March 2025 at a valuation near $23 billion. Hyperscalers have responded by expanding dedicated AI instance families (AWS P5, Azure NDv5), but neoclouds retain a price and availability advantage for pure GPU workloads. Sovereign AI programs in the Middle East, Europe, and Asia are also driving demand for neocloud-style infrastructure located within national borders, creating a new class of government-backed or nationally operated GPU clouds.