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Koyeb

High-performance serverless infrastructure for APIs, inference, and databases

Overview

What Koyeb does

Koyeb is a serverless cloud platform designed for deploying and scaling intensive applications across over 50 global locations. The platform provides access to high-performance processors from AMD, Intel, and Nvidia while maintaining serverless simplicity with automatic scaling and sub-200ms cold starts. Developers deploy production-grade containers with zero configuration, scaling to hundreds of servers and back to zero in seconds. Koyeb supports multiple protocols including HTTP/2, WebSocket, and gRPC natively, provides instant API endpoints, and includes serverless Postgres with pgvector for embedding storage. The platform excels at AI inference, fine-tuning, AI agents, SaaS platforms, and distributed systems deployment. With built-in zero-downtime deployments, automatic health checks, and a global CDN with load-balancing, Koyeb combines ease of use with the performance requirements of modern applications.

What people use it for

  • Deploying AI inference models globally with GPU acceleration
  • Building SaaS platforms with automatic scaling
  • Running distributed AI agents and background workers

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Koyeb.

  • Pricing starts at $29/month with additional compute costs
  • GPU compute is expensive at $0.75-$2.50 per hour
  • Limited customization for infrastructure configuration

Cross-shopped

What people choose instead of Koyeb

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Koyeb logo
    Koyeb
    vs
    Fly.io logo
    Fly.io

    Fly.io: Edge computing platform with global deployment

  • Koyeb logo
    Koyeb
    vs
    Railway logo
    Railway

    Railway: Simpler serverless platform with lower starting costs

  • Koyeb logo
    Koyeb
    vs
    Render logo
    Render

    Render: Managed cloud platform with straightforward pricing

Pricing

What Koyeb costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Pro

$29 /mo

  • $10 included compute
  • 10 users
  • 100 services
  • Email and chat support

Scale

$299 /mo

  • $100 included compute
  • 50 users
  • 1,000 services
  • AWS region access
  • 99.9% uptime SLA

Enterprise

$1,000 /mo

  • Unlimited users
  • Custom resources
  • SSO/RBAC
  • SOC2 certification
  • 99.99% uptime SLA

Capabilities

Features

  • Serverless containers

    Deploy containers with zero configuration and automatic scaling

  • GPU support

    RTX-A6000, A100, H100, and 8x H100 options

  • Global distribution

    Deploy across 50+ locations with sub-100ms latency

  • Multi-protocol support

    Native HTTP/2, WebSocket, and gRPC support

  • Serverless Postgres

    Managed database with pgvector for embeddings

  • Zero-downtime deployments

    Automatic health checks and continuous deployment

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

What are Koyeb's subscription plans?

Pro plan is $29/month with $10 included compute, Scale plan is $299/month with $100 included compute and 99.9% SLA, and Enterprise starts at $1,000/month with unlimited users and 99.99% SLA.

Source
How much does GPU compute cost?

GPU pricing is per-second: RTX-A6000 costs $0.75/hour, A100 costs $1.60/hour, H100 costs $2.50/hour, and 8x H100 costs $20.00/hour.

Source
What database options are available?

Koyeb offers serverless Postgres starting at free (0.25 vCPU, 1GB RAM) up to 3XL at $1.28/hour with 8 vCPU and 32GB RAM. Storage costs $0.50/month per GB.

Source
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Softwr does not host reviews and shows no star rating for Koyeb, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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