Koyeb review

Koyeb is a cloud platform for deploying and scaling applications, including AI workloads, across CPUs, GPUs and accelerators. You can deploy serverless containers through Git or the CLI, while Koyeb manages the infrastructure. Its containers can scale from zero to hundreds of servers, according to the product description.

The platform also offers managed Postgres with pgvector for storing and searching embeddings. For deployments, Koyeb lists continuous deployment and automatic health checks intended to help prevent bad releases. Its homepage advertises cold starts under 200ms, and the company says deployments are available in more than 50 locations.

The pricing is a subscription plus usage, not a flat all-in hosting bill. Pro starts at $29 per month and includes $10 in compute; compute charges are separate. That distinction matters if you are comparing Koyeb with a fixed-price app host.

Koyeb’s range is its clearest advantage: the product covers container deployments, managed infrastructure and Postgres, with CPU, GPU and accelerator options. That gives teams room to run an application and its model-serving or database components in one platform rather than stitching together separate providers.

• The pricing page lists Pro at $29/month for production apps and small teams, with 10 users, 100 services, five concurrent builds, 1TB monthly bandwidth and $10 of included compute.
• Scale is $299/month, with $100 of included compute, 50 users, 1,000 services, 20 concurrent builds and a listed 99.9% uptime SLA.
• Koyeb advertises more than 50 deployment locations, autoscaling and sub-200ms cold starts on its homepage.
• Managed Postgres includes a free development tier with five hours, 0.25 vCPU, 1GB RAM and 1GB storage.

There are also signs that people use Koyeb for small, real deployments: one Reddit thread links to a Stremio add-on hosted on a Koyeb app. That is an example, not evidence of performance or reliability at scale. The practical appeal is flexibility; whether it saves money depends on compute and bandwidth usage.

The $29 Pro price is not the whole bill. Compute is charged separately, with services listed from $0.000006 per second; GPU instances are listed at $0.50–$24 per hour, and N300s instances require access. Pro includes $10 of compute, but the published pricing details do not give a typical workload cost. There are no annual prices listed.

The plan caps also matter when you compare accounts: Pro allows 10 users, 100 services, five concurrent builds and 1TB monthly bandwidth. Scale raises those limits, but costs $299/month. Extra bandwidth costs $0.02/GB in the US and EU or $0.04/GB in Asia. Postgres storage is billed at $0.50/GB/month, despite the database plans listing unlimited instance storage.

A Reddit post about a community add-on says its Koyeb instance crashed after exceeding free-tier usage limits. That is one user’s report, not a platform-wide reliability finding, but it is a useful warning against assuming free hosting will handle growing traffic. Koyeb lists a free plan, though the published pricing details do not specify its limits.

Koyeb’s Pro subscription is $29/month and includes $10 of compute, 10 users, 100 services, five concurrent builds and 1TB of monthly bandwidth. Scale jumps to $299/month, with $100 of included compute, 50 users, 1,000 services and a 99.9% uptime SLA. Enterprise starts at $1,000/month. That is a steep step up if you only need more capacity, so check whether the higher service and user caps justify it.

The subscription is not an all-in infrastructure bill: compute is charged separately, by the second at month-end, and services start at $0.000006/second. The pricing details list GPU instances at $0.50–$24/hour; N300s instances require access. Postgres starts with a free five-hour development tier, then $29.76/month for Small, plus $0.50/GB/month for storage. Additional bandwidth is $0.02/GB in the US and EU or $0.04/GB in Asia. No annual prices are shown, so there’s no published annual discount to factor in.

Koyeb supports deployments through Git or the CLI, so teams already using either route can assess a move without assuming they need to change their deployment workflow. The published information doesn’t specify migration tooling, supported import formats or data-export procedures. Before moving a production app, confirm how you’ll transfer databases, secrets, persistent files and deployment configuration—and how you’ll retrieve them if you leave. Data export terms are not published in the material we reviewed.

Treat Postgres as a separate migration decision: Koyeb lists serverless Postgres tiers, but the published details don’t explain database import or export steps. Plan a test transfer and verify backups and rollback before cutting over. The published material for this review contains no Reddit reports, so we can’t substantiate a common reason users leave Koyeb. Price predictability is a clear consideration, though: compute is billed separately by the second, and GPU rates vary by instance. Compare your actual usage and exit requirements before switching either way.