SDK Inference
Scaleway SDK for inference tasks in AI and ML projects.
Pricing
Contact sales
Usage-based
Adoption
→StableLicense
Proprietary
Data freshness
UnverifiedOverview
What is SDK Inference?
The Scaleway SDK for Inference provides a set of tools to deploy, manage, and scale machine learning models. It is designed to help developers integrate model serving into their applications efficiently.
Key differentiator
“The Scaleway SDK for Inference offers a streamlined approach to deploying and scaling machine learning models on the cloud, making it ideal for teams that prioritize ease of use and scalability.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official SDKs are only available for Python and JavaScript, limiting use in polyglot environments
Tight integration with Scaleway infrastructure makes it difficult to switch providers without significant refactoring
Fit analysis
Who is it for?
✓ Best for
Developers needing to deploy machine learning models on the cloud with ease and scalability.
Teams looking for a managed service to handle model serving without managing infrastructure.
✕ Not a fit for
Projects requiring real-time streaming inference (batch-only architecture)
Budget-constrained projects where cost optimization is critical
Cost structure
Pricing
Free Tier
None
Starts at
Contact sales
Model
Usage-based
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with SDK Inference
Step-by-step setup guide with code examples and common gotchas.