Five GPU Neoclouds Compete on Pricing and Power in 2026

Surging demand for generative-AI training and inference has elevated specialist GPU clouds as alternatives to Amazon Web Services, Microsoft Azure and Google Cloud. A 2026 comparison assesses CoreWeave, Nebius, Lambda, Crusoe and Groq using published pricing, access to NVIDIA and AMD accelerators, contracted power capacity and infrastructure road maps — factors that determine whether providers can deliver large computing clusters reliably and at scale.

The report compares offerings built around NVIDIA’s B200 and B300 systems alongside AMD-based options, while examining each company’s power commitments and planned hardware expansion as of 2026. It does not establish one universally comparable dollar price because providers variously quote per-GPU-hour rates, reserved clusters and bespoke contracts. Buyers must therefore weigh workload type, contract duration, utilization and power availability when calculating the effective cost of training or inference.