Crusoe

The AI hyperscaler — GPU cloud built for large-scale training and inference.

CoreWeave is a purpose-built AI cloud renting large-scale NVIDIA GPU capacity for training and inference, layered with managed Kubernetes, AI object storage, and Mission Control observability. Public on Nasdaq since March 2025, it counts most leading AI labs — including OpenAI, Meta, and Anthropic — among its customers, with a contracted revenue backlog reported near $100B in 2026.

Full-stack AI cloud for training and inference at scale.

AI-native cloud built around large NVIDIA GPU clusters — bare-metal and virtualized H100 through Blackwell hardware with InfiniBand networking, managed Slurm and Kubernetes, high-speed storage, and MLOps tooling. Its Token Factory layer adds managed per-token inference for open-weight models. Microsoft signed a five-year capacity deal with Nebius worth up to $19.4B.

GPU cloud for AI training — on-demand GPUs, 1-Click Clusters, and superclusters.

Lambda is a GPU cloud for AI training and inference, spanning on-demand HGX B200 and H100 instances, self-serve 1-Click Clusters, and single-tenant superclusters built on NVIDIA's latest generations. A GPU specialist since 2012, it sells compute by the hour without long-term hyperscaler contracts and co-engineers large deployments with NVIDIA.

GPU cloud for AI — on-demand instances and serverless inference.

Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.