What is Koyeb?
Koyeb is a serverless platform for deploying applications globally. Its documentation says it provides a unified way to run inference, execute code in isolated sandboxes and deploy web applications, APIs, MCP servers, AI agents and background workers, on CPUs, GPUs or accelerators. The company was founded in 2019 and is based in Boulogne-Billancourt, France. The Koyeb site announces that it is joining Mistral AI.
Deployment is Git-driven, with native build support for languages including Ruby, Node.js, Java, Python, Go, Rust and PHP, or a Dockerfile in the repository, and prebuilt containers can be used as well. Applications run in Cloud Hypervisor microVMs on bare metal servers. Services come with scaling, autohealing, a service mesh for discovery between microservices, and an edge network with a global CDN and load balancing. Management is through a web interface, a CLI and a REST API. A free instance with 512MB of RAM, 0.1 vCPU and 2GB of SSD is available to start, and usage is billed by the second.
Key capabilities
- Service types Web apps, APIs, MCP servers, AI agents and background workers.
- Git or container deploys Native builds for many languages or a Dockerfile.
- Runtime MicroVMs on bare metal with CPUs, GPUs or accelerators.
- Networking Service mesh, global CDN and load balancing across zones.
- Control Web interface, CLI and REST API.
Where Koyeb fits
- Application hosting Runs web applications, APIs, MCP servers, AI agents and background workers.
- AI inference Deploys and scales ML models to production without managing infrastructure, on CPUs, GPUs or accelerators.
- Sandboxes Isolated environments for AI agents, with their own documentation section.
- Git and Docker deployment Deploys code, containers or models with a Git push or CLI call.
- Autoscaling and scale-to-zero Instances can scale down to zero when there is no incoming traffic.
- Edge network A global CDN and load balancing, with native HTTP/2, WebSocket and gRPC support.
- Zero-downtime releases Continuous deployment with automatic health checks to stop bad deployments.
- Managed Postgres Serverless Postgres with pgvector for storing and searching embeddings.
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