Control Plane vs Koyeb

Koyeb does the serverless-container pitch well: push a container or connect a repo, and it runs across Koyeb's global infrastructure with scale-to-zero and GPU options. If you don't care where your workloads live, that is genuinely convenient. Control Plane is for when you do care: because the audit says your accounts, the customer says Frankfurt, or the architecture spans AWS, GCP, Azure, and a rack of your own GPUs. It composes all of that into one virtual cloud you deploy to like a single platform.

The core difference: whose infrastructure answers the audit

On Koyeb, the infrastructure is Koyeb's unless you negotiate Enterprise bring-your-own-cloud or custom regions. That is the source of its simplicity, and of its ceiling. Placement means choosing among Koyeb's locations; compliance means whatever Koyeb's platform posture gives you (ISO 27001 and SOC 2 on the Enterprise plan; no HIPAA or PCI documented); native AWS or GCP services sit outside the walls, reached with credentials you manage. For straightforward apps and inference endpoints, none of that may matter.

On Control Plane, the infrastructure is whatever you choose to compose: managed regions by default, your own AWS, GCP, or Azure accounts, neoclouds, Kubernetes clusters, or SSH-reachable servers. Workloads (containers and full VMs) get one network with mTLS, credential-free access to 600+ native cloud services through Universal Cloud Identity, scale-to-zero with Capacity AI right-sizing, and a compliance posture (PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR) that survives an enterprise procurement review.

Which one should you pick?

Control Plane vs Koyeb, side by side

Which fits your scenario

Control Plane fits: an AI product graduating from API calls to its own GPUs. Inference moves from a vendor endpoint to a pool at a neocloud, the web tier stays on AWS, and a healthcare customer wants HIPAA terms with data in named regions. Control Plane runs all of it as one cloud, with the GPU pool and the AWS regions under the same deploy, identity, and audit trail.

Koyeb fits: a small team shipping a global API with zero infrastructure appetite. Push the container, get the endpoint, let it scale to zero at night. If nobody is asking where it runs, the simplest host wins.

Frequently asked questions

• Is Control Plane a Koyeb alternative?

  For teams that have started caring where workloads run, yes. Both give you serverless-style containers with scale-to-zero; Control Plane adds control over placement (your accounts, your regions, your hardware) plus VMs, Universal Cloud Identity, and enterprise compliance.

• Does Control Plane have scale-to-zero like Koyeb?

  Yes. Idle workloads scale to zero, and Capacity AI right-sizes running ones in place as usage changes, on managed compute and in your own accounts alike.

• Can Control Plane run GPU workloads?

  Yes. GPU capacity from neoclouds like Lambda or CoreWeave, hyperscaler GPU instances, or your own hardware joins the virtual cloud as regions, and workloads deploy to them like anywhere else.

• When is Koyeb the better choice?

  When speed-to-URL beats control-of-placement: self-contained apps, inference endpoints, and side services where the vendor's infrastructure is good enough. Control Plane earns its keep when accounts, regions, identity, and audits enter the conversation.