Koyeb vs Theta EdgeCloud

Per-second billing with scale-to-zero across the GPU catalog

From RTX-4000-SFF-ADA and L4 through L40S, A100, H100, H200 and B200

Deploy applications close to users across multiple regions from a single push

Combines traditional cloud GPUs via Google Cloud and AWS with 30,000+ community-operated edge nodes for flexible compute.

Supply-demand driven pricing where node operators set rates and users select GPUs based on availability and cost.

Routes heavy training jobs to cloud/datacenter GPUs and distributes parallelizable inference across edge nodes.

Reroutes jobs to healthy nodes if a community node goes offline mid-task, ensuring workload continuity.

Docker-based job execution with Jupyter Notebook and SSH access for flexible development environments.

On-demand model inference APIs and dedicated AI model serving with support for popular generative AI models.