Cloud Inference

SDK Inference

Scaleway SDK for inference tasks in AI and ML projects.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Proprietary
Pricing
Paid
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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.

Look elsewhere if

  • Projects requiring real-time streaming inference (batch-only architecture)

  • Budget-constrained projects where cost optimization is critical

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python and JavaScript

    Official SDKs are only available for Python and JavaScript, limiting use in polyglot environments

  2. 02

    Vendor lock-in with Scaleway's cloud services

    Tight integration with Scaleway infrastructure makes it difficult to switch providers without significant refactoring

What it does well

  • Efficient deployment of machine learning models

  • Scalable infrastructure for model serving

  • Integration with Scaleway's cloud services

Pricing

Free tier
No
Paid from
—
Model
Usage-based
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up SDK Inference

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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