Kubernetes Kapsule
"Kubernetes Kapsule" is a Kubernetes service that enables you to automatically create, scale, and deploy clusters of up to 500 nodes. It ensures reliability, autoscaling, and security for your applications.
Cloud for Retail and ECommerce
Scale your retail business effortlessly with Scaleway’s 100% European cloud—handle traffic peaks, optimize operations, and boost profits with AI-driven forecasting and 24/7 support.
They trust us
ComAITe
Know more"Scaleway has been working with us for almost 10 years, and thanks to their support, we are able to ensure impeccable quality of service for our e-commerce customers. Their infrastructure enables us to achieve an uptime of 99.999%, guaranteeing the reliability needed to meet our partners' high standards."
PEER2ME - What the Shop
Know more"Scaleway helped us maintain our service quality to a very high level while controlling our costs. Thanks to the flexible range of servers on offer, we have been able to support a 200% increase in data volume with only a 30% increase in costs."
MATCHA
Know more"Since Matcha migrated its APIs and data processing to Kapsule (Kubernetes Scaleway), the time spent on infrastructure maintenance has decreased by 75%. The use of open technology such as Kubernetes has also enabled us to train our entire technical team of six people, significantly reducing the risk associated with the bus factor."
Moderlab
Know more“Moderlab chose Scaleway because sustainability is its top priority. Their strategic partnership has reduced infrastructure costs by 40%, cut energy consumption by 25% and accelerated deployment cycles, all in a secure, GDPR-compliant environment.”
Dive into Scaleway’s use-case-driven solutions
Load balancer
Scaleway’s Load Balancer automatically distributes traffic across your servers to ensure high availability, performance, and resilience. It supports HTTP(S) and TCP protocols, and offers multi-zone deployment.
Managed inference
Managed Inference is a turnkey cloud service for deploying AI models on dedicated GPUs with stable and predictable performance.
It allows you to use pre-quantized models (LLMs, embeddings, VLMs, etc.) or, soon, your own models—without the complexity of infrastructure management.