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Daytona vs Scaleway: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Daytona and Scaleway. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2023
2015
Headquarters
United States
Paris, France
Billing model
Preemptible (spot)
On-demand, Reserved
Min commitment
None
None
Support tier
Standard
Basic → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Daytona

Daytona is a GPU cloud offering preemptible (spot) instances across a wide range of hardware including NVIDIA B300, B200, H200, H100, RTX PRO 6000, RTX 5090, RTX 4090, and AMD MI355X. All pricing is preemptible — no on-demand rates are published. Competitive spot pricing makes Daytona a cost-effective option for fault-tolerant AI training, batch inference, and research workloads that can tolerate interruption. Access to Blackwell-generation hardware (B300, B200) at preemptible rates is a notable differentiator for teams that need next-generation GPU performance at reduced cost.

Strengths
  • B300 and B200 Blackwell hardware at preemptible rates
  • AMD MI355X availability
  • Wide GPU catalog: H200, H100, RTX 5090, RTX 4090
  • Competitive spot pricing across all SKUs
  • RTX PRO 6000 Blackwell available
Weaknesses
  • Preemptible only — no on-demand pricing published
  • Workloads must handle interruption
  • Smaller provider — limited scale vs hyperscalers
Best For
Fault-tolerant AI training on latest hardwareBatch inference at reduced costResearch workloads that can tolerate interruptionTeams needing Blackwell GPUs at spot pricing
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Scaleway

Scaleway is a French cloud provider offering H100 SXM and PCIe GPU instances alongside a full cloud platform — managed Kubernetes (Kapsule), object storage, managed databases, serverless functions, and private networking — all within EU data centers. In 2025–2026 Scaleway launched H100 PCIe instances at competitive EU pricing, expanded its managed Kubernetes GPU node pools to support multi-GPU workloads natively, and introduced a GPU-optimized bare-metal tier for latency-sensitive inference. As a subsidiary of Iliad Group (one of France's largest telecoms), Scaleway has the financial backing and network infrastructure to compete seriously in the EU GPU market. A strong choice for European teams that want GPU compute and a full cloud stack from a single EU-sovereign provider, avoiding US hyperscaler data residency concerns entirely.

Strengths
  • Full EU-sovereign cloud stack — GPU, Kubernetes, storage, databases in one platform
  • H100 SXM and PCIe at competitive European pricing
  • Managed Kubernetes with native GPU node pool support
  • Backed by Iliad Group — strong financial stability and network infrastructure
  • GPU-optimized bare-metal tier for low-latency inference
Weaknesses
  • GPU catalog narrower than AWS, GCP, or Azure
  • Primarily EU regions — limited options for US or APAC deployments
  • ML ecosystem tooling less mature than hyperscalers
Best For
EU-based teams needing GPU + full cloud stack from one EU-sovereign providerOrganizations avoiding US hyperscaler data residency concernsTeams running GPU training alongside managed Kubernetes workloadsFrench and European enterprises with strict data sovereignty requirements
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Region Coverage

Scaleway — 3 regions
EU-West (Paris)EU-West (Amsterdam)EU-Central (Warsaw)

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Key differences

Daytona

Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates

Scaleway

European GPU cloud — H100, managed Kubernetes, and full cloud stack with EU sovereignty

AttributeDaytonaScaleway
Provider typespecialistspecialist
Billing modelPreemptible (spot)On-demand, Reserved
Min commitmentNoneNone
Regions1 (US)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandardBasic → Enterprise
Best forFault-tolerant AI training on latest hardware, Batch inference at reduced costEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2023 · United States2015 · Paris, France