Koyeb is a serverless platform that enables users to deploy containers globally with autoscaling. It provides a scalable and secure way to deploy applications without worrying about the underlying infrastructure.
Modal is a serverless platform that lets you run GPU-accelerated and batch Python workloads without managing any infrastructure. It abstracts away servers, containers, and scaling, letting developers focus on code. With native Python decorators, you can define functions that automatically execute on CPUs or GPUs, pay only for the exact compute time used, and monitor performance through an integrated dashboard.
- Scalable and secure infrastructure
- Automated deployment and scaling
- Support for a wide range of container runtimes
- Real-time monitoring and logging
- Zero-ops GPU provisioning
- Fine-grained pay-as-you-go billing
- Native Python API simplifies code migration
- Built-in monitoring and logging
- Limited control over underlying infrastructure
- Dependence on Koyeb's proprietary platform
- Potential for vendor lock-in
- Limited to Python ecosystem
- GPU availability may vary by region
- Advanced networking features are minimal
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The Verdict
AI-generated from listing dataModal is the safer default for ML‑focused Python workloads needing on‑demand GPUs, while Koyeb excels for globally distributed container apps with higher SLA.
Key differences
- •Modal runs Python functions on GPUs serverlessly; Koyeb runs generic containers.
- •Modal’s free tier includes fine‑grained per‑second GPU billing; Koyeb’s pricing details are not specified.
- •Koyeb offers a higher uptime SLA (99.99% vs 99.9%).
- •Modal is limited to US/EU regions; Koyeb adds APAC.
- •Modal targets ML engineers; Koyeb targets broader app deployment teams.
Pricing & value
Modal bills per second of GPU/CPU time with a generous free tier; Koyeb pricing model not detailed.
Uptime & reliability
Koyeb guarantees 99.99% SLA, higher than Modal's 99.9%.
Performance
Modal provides on‑demand GPU compute for ML workloads; Koyeb offers generic container performance.
Developer experience
Modal offers a native Python API and zero‑ops GPU provisioning, simplifying ML code migration.
Regions & compliance
Koyeb covers US, EU, and APAC; Modal only US and EU.
Support
Neither product’s support details are specified.
Lock‑in
Modal is limited to Python but less proprietary; Koyeb relies on its own platform, increasing lock‑in risk.
Choose Koyeb if…
Teams deploying globally distributed containerized apps requiring higher SLA.
Choose Modal if…
ML engineers needing on‑demand GPU compute with minimal ops.
Common questions
Which platform offers GPU acceleration for machine‑learning workloads?
Modal provides serverless GPU compute; Koyeb does not mention GPU support.
What is the uptime guarantee for each service?
Modal: 99.9% SLA; Koyeb: 99.99% SLA.
Are there regional limitations I should consider?
Modal operates in US and EU; Koyeb adds APAC to those regions.