Catalog
Published GPU instance hours. Platform features stay out of the $/hr cell.
Provider review / verified 2026-09-05
KoyebGPU review
Koyeb is a serverless/app platform that also offers GPUs. Paris-based, developer-shaped. The H200 you saw in our catalog as a ‘from’ price is a SKU, not a personality.
Models listed5
From /GPU/hr$0.89
Regions in sample1
Business modelManaged GPU cloud
Our reading
Who this provider is for
I like Koyeb when the workload already looks like a service: an inference container, a worker, something that should sleep. I do not like it as a substitute for a 8×H100 training island. If your mental model is Fly/Render with a GPU bolted on, you will be happy. If your mental model is Slurm, you will be confused and you should be.
Rent it if Developers deploying GPU-backed services who want a modern PaaS, not a cluster.
Skip it if Pretrain people. Marketplace penny-shoppers. Anyone who needs IB.
How we compare hoursStrengths
- App-platform DNA: deploy a service, not a pet VM you forget to stop
- GPU SKUs in the catalog including high-memory cards when they publish them
- European company, useful on EU-shaped shortlists
- Serverless/platform billing mindset, friendlier to spiky apps than a naked pod
Limits
- Not a training cluster vendor
- GPU availability will never look like Vast.ai’s long tail
- If you needed raw SSH and a week of tmux, RunPod is still simpler
- Do not compare a serverless-ish GPU to an always-on H100 without doing the duty cycle math
Same standard, every cloud
What we measured on Koyeb
Four checks we apply to every provider. This is not a score, and it is not a paid ranking.
Price signal
Can look sharp on specific high-memory SKUs. Always compare duty cycle if the product sleeps.
Product shape
PaaS + GPU. Containers. Regions. Not a marketplace.
Still verify
Region, GPU memory, and whether you are paying for idle.
- Model
- Managed GPU cloud
- Headquarters
- Paris, FR
- Setup
- App platform / GPU instances
- On-demand
- Yes
- Founded
- 2020
- Best known for
- Serverless-style cloud + GPUs
- Compare with
- RunPod serverless, Packet.ai, Lambda
- Training clusters
- Not the job
Catalog listings
Koyeb catalog sample
Published on-demand hours first. Spot and waitlists are labeled. Confirm the live rate before you provision.
PaaS with a GPU is a type
Koyeb, and a handful of others, are not trying to win a 4090 leaderboard. They are trying to make a GPU a compute type next to a CPU service. If that is your architecture, stop forcing RunPod templates into a platform-shaped hole.
H200 ‘from’ prices
Our catalog can show a striking from-price on a high-memory card. Read the row: region, stock, on-demand. A from-price is a floor across listings, not a coupon.
How I actually rent it
- 01
Describe the service, not the GPU hobby
If it is a trainer, go elsewhere. If it is a service, continue.
- 02
Match VRAM
Then compare RunPod serverless and a dedicated pod.
- 03
Watch idle
Platform clouds still bill for things you leave up. Scale to zero only if you configured it.
FAQ
Koyeb questions
Is Koyeb good for training?+
Not my first pick. It is a developer platform with GPUs. Training islands live on Lambda/CoreWeave/RunPod Secure.
Koyeb vs RunPod?+
RunPod is a GPU rental company. Koyeb is a cloud platform that rents GPUs. Pick based on whether you wanted a pod or a service.
Does Koyeb have H200?+
When listed. Confirm stock and the from-price vs the row you will actually buy.
Who is Koyeb for?+
EU-friendly developers deploying GPU-backed apps who do not want a hyperscaler or a marketplace.
Sources
Where these numbers come from
Prices and SKUs are from the GPUBeacon catalog sample. Ranking rules are on the methodology page. Outbound links may be affiliate. They never change the hour we display.
GPUs
Keep comparing
Other providers to compare
Same fields, different product. Compare the GPU hour before you lock a brand.
