Koyeb

Serverless platform for deploying global applications, APIs, and ML inference workloads. Deploys containers or code with built-in autoscaling, scale-to-zero, and a global edge network across 50+ locations.

Koyeb emphasizes high-performance compute, including GPUs and accelerators from AMD, Intel, and Nvidia, alongside CPU-only workloads. Trusted by teams running inference and training, it differentiates through sub-second cold starts and the ability to run intensive AI workloads without managing infrastructure.

Key capabilities:

• Serverless containers with Git push or CLI deployment and zero configuration
• GPU, NPU, and accelerator support for inference and training
• Global edge network with HTTP/2, WebSocket, and gRPC
• Managed Postgres with pgvector for embeddings at scale
• Sandboxes for isolated AI agent execution and secure code runtimes

Developers deploy full-stack apps, APIs, and ML models to production with a single Git push or CLI call. Common workflows include inference endpoints for LLMs, distributed systems requiring global latency, and databases with vector search. The platform handles autoscaling and health checks so teams can focus on application logic instead of ops.