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Scaleway Startup Deals & Discounts

European sovereign cloud for compute, AI, and storage - from bare metal to serverless

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Deal Overview

Best Offer

$39.6K

Total Value

$40.1K

Available Deals

2

Available Deals

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Open Access39.6K

Up to €36,000 in credits

€36,000

Promo code, redemption steps & eligibility

Open Access550

€500 in credits

€500

Promo code, redemption steps & eligibility

Scaleway Startup Deals - Overview

Scaleway runs an application-based startup program aimed at early-stage and AI-focused companies building on European cloud infrastructure. Qualifying startups can receive a meaningful pool of platform credits to spend across the catalog - GPU Instances for training and inference, CPU compute, managed Kubernetes, databases, and Object Storage - so a young team can prototype, benchmark models, and scale a first production workload without burning runway on infrastructure in the earliest months.

The program is structured in tiers. A smaller starter allocation suits founders who are still validating an idea and want room to experiment, while a substantially larger allocation is geared toward funded or AI-intensive startups whose GPU and compute needs ramp quickly. Beyond the credits themselves, participants typically gain access to technical guidance and onboarding support to help them architect efficiently and avoid over-provisioning.

Approval is selective and based on an application that asks about your company stage, what you are building, and how you intend to use the resources. It is best suited to teams that genuinely plan to build on Scaleway and value keeping their data and models hosted within Europe under a sovereignty-first model.

About Scaleway

Scaleway is a French cloud provider that gives developers a single platform to run compute, AI workloads, storage, and networking inside European data centers rather than on a US hyperscaler. The appeal in 2026 is twofold: an unusually broad hardware lineup and a sovereignty story that holds up legally - datasets, models, and user data stay in Europe and sit outside the reach of extraterritorial l...

Key Features

Broad compute hardware range

Run workloads on dedicated bare metal (Dedibox, Elastic Metal, Apple Mac mini), CPU Instances optimized for general-purpose, compute, or memory needs, and NVIDIA GPU Instances from L4 and L40S up to H100 and B300-class cards - all from one console and API.

Managed AI: Generative APIs and Inference

Generative APIs serve popular open models on a serverless, per-million-token basis, while Managed Inference runs models on dedicated GPUs at a fixed hourly rate for stable, low-latency throughput suited to chatbots and high-load applications.

Kubernetes Kapsule with free control plane

Deploy and autoscale containers on managed Kubernetes with no charge for the control plane, plus Kosmos for multi-cloud clusters, Serverless Containers, Serverless Jobs, and a Container Registry.

S3-compatible storage and managed databases

Object Storage works with the Amazon S3 API and tooling, complemented by Block and File Storage, managed PostgreSQL, MySQL, Redis, and MongoDB, Serverless SQL, and a ClickHouse data warehouse.

European data sovereignty

Multi-AZ regions in Paris, Amsterdam, and Warsaw keep data, models, and training sets in Europe, shielded from extraterritorial laws - a concrete compliance advantage for EU-regulated teams.

Transparent, developer-friendly billing

Per-hour billing, no egress fees on Instances, and Savings Plans that cut monthly compute by up to 25%, all managed through a console, CLI, APIs, and Terraform/IaC tooling.

Pros & Cons

Pros

  • Genuine European sovereignty - Workloads run in EU data centers (Paris, Amsterdam, Warsaw) with data and models legally protected from extraterritorial laws, which matters for GDPR-bound and public-sector customers.
  • No egress fees on Instances - Unlike hyperscalers that meter outbound traffic, Scaleway does not charge egress on Instances, making bandwidth-heavy and data-transfer-intensive apps far more predictable to budget.
  • Strong GPU and AI lineup - Access to L40S, H100, and B300-class GPUs plus serverless Generative APIs and dedicated Managed Inference covers everything from a weekend experiment to production model serving.
  • S3-compatible and standards-based - Object Storage and a market-standard API surface reduce lock-in and let teams reuse existing AWS tooling and Terraform workflows.

Cons

  • Smaller ecosystem than hyperscalers - The managed-service catalog and third-party integration marketplace are narrower than AWS, Azure, or GCP, so some niche services have no direct equivalent.
  • Europe-centric region footprint - Compute regions are concentrated in Europe; teams needing low latency in the Americas or Asia-Pacific will find the regional coverage limited despite a broad PoP network.
  • Premium GPU capacity can be constrained - High-demand cards like H100 are popular and may require reservations or face availability limits during peak periods, which can complicate spiky training schedules.

Use Cases

Scaleway fits teams that want hyperscaler-grade building blocks while keeping data in Europe. Common scenarios:

  • AI startups training and serving models - Rent H100 or L40S GPU Instances for fine-tuning, then ship to production via Generative APIs (per-token) or Managed Inference (dedicated, fixed hourly) for predictable latency.
  • SaaS and web platforms - Run application tiers on CPU Instances or Kubernetes Kapsule, back them with managed PostgreSQL or MySQL, and serve assets from S3-compatible Object Storage without egress surprises.
  • Data and analytics workloads - Use the ClickHouse data warehouse and Serverless SQL for analytics, with Block and File Storage for high-throughput pipelines.
  • EU-regulated and public-sector projects - Choose Scaleway specifically for sovereignty: keeping personal data, models, and backups in EU Multi-AZ regions to satisfy GDPR and data-residency requirements.
  • Cost-sensitive infrastructure migration - Teams moving off pricier clouds benefit from per-hour billing, no Instance egress fees, and Savings Plans for steady-state compute.
  • Bare-metal and specialized hosting - Dedibox and Elastic Metal for dedicated performance, or Apple Mac mini hosts for iOS/macOS CI and build pipelines.

Pricing

Scaleway uses transparent, usage-based pricing billed per hour for most resources, with no egress fees on Instances and Savings Plans that can cut monthly compute costs by up to 25%.

  • CPU & GPU Instances - Billed per hour by Instance type; GPU Instances span entry-level L4 through high-end H100 and B300-class cards. Savings Plans reduce cost for steady workloads.
  • Kubernetes Kapsule - Free, fully managed control plane; you pay only for the underlying compute nodes (managed Kubernetes offerings start around €6.34/month for a small node).
  • Generative APIs - Serverless model access billed per 1 million tokens.
  • Managed Inference - Dedicated GPU infrastructure at a fixed hourly rate with unlimited tokens for predictable cost and latency.
  • Object Storage - S3-compatible, priced per GB/month (a low-cost One Zone class starts around €0.012/GB/month), with intra-region transfers free.
  • Bare Metal - Dedibox, Elastic Metal, and Apple Mac mini hosts priced per server.

Pricing tiers and exact rates change over time, so confirm current figures on Scaleway's official pricing pages before committing.

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