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Beam Cloud vs Scaleway

A detailed comparison to help you choose between Beam Cloud and Scaleway.

Quick Verdict

4.3/5

Beam Cloud

307 reviews

4.8/5

Scaleway

475 reviews

Scaleway is rated higher (4.8 vs 4.3). Beam Cloud provides serverless GPU and CPU compute for AI model serving and data pipelines. Scale to zero when not running. Python SDK for easy integration. Pay only for compute used. Scaleway provides bare-metal servers, VPS, and managed Kubernetes in European data centers. Designed for developers and small-to-medium businesses needing reliable cloud compute without vendor lock-in.

Beam Cloud

Beam Cloud

Serverless GPU infrastructure with per-second billing and instant scaling

Scaleway

Scaleway

European cloud infrastructure with competitive pricing and transparent billing

Overview
Rating4.3 (307 reviews)4.8 (475 reviews)
Pricing modelusage-basedfreemium
Starting priceFree tier availableFree tier available
Best forTeams deploying AI inference APIs, batch ML jobs, or GPU-accelerated workloads that need cost-efficient scaling without long-term commitments.European startups and developers prioritizing cost efficiency, data sovereignty, and avoiding long-term contracts with established cloud providers.
Specifications (entry plan)
CPU cores2 vCPU
RAM2 GB
Storage20 GB
Bandwidth1 TB/mo
SLA uptime99.9%
Data-center count5
€/vCPU/mo€0.00
€/GB RAM/mo€0.00
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Data-center locations
Regions
FranceNetherlandsPoland
Tags
Tags
free tiergpu availableus datacenterapi access
free tierhourly billingipv6ddos protectionsnapshotsmanaged optionbare metalgpu availables3 compatibleeu datacentergdpr compliantterraform providerkubernetes supportapi access
Visit Beam Cloud →Visit Scaleway →

Beam Cloud

Pros

  • + Pay only for compute used with per-second granularity, no minimum charges
  • + Scale to zero automatically between requests, reducing idle infrastructure costs
  • + Deploy containerized workloads with no vendor lock-in using standard Docker images
  • + Integrate GPU-accelerated inference models directly into Python applications

Cons

  • - Limited regional availability compared to major cloud providers
  • - Requires containerization knowledge; less suitable for simple HTTP endpoints
  • - Per-request cold start latency may exceed 5 seconds on first invocation
View full Beam Cloudreview →

Scaleway

Pros

  • + Configure instances precisely with granular CPU, RAM, and storage options
  • + Access bare-metal servers at lower price points than major competitors
  • + Pay by the hour with no long-term contracts or setup fees
  • + Manage infrastructure via API or intuitive dashboard
  • + Comply with EU data residency requirements with multiple European regions

Cons

  • - Smaller ecosystem and fewer third-party integrations compared to AWS or DigitalOcean
  • - Support response times slower than premium enterprise providers
  • - Limited US region availability; primarily Europe-focused infrastructure
View full Scalewayreview →

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