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Brev.dev vs Scaleway: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2021
2015
Headquarters
San Francisco, CA
Paris, France
Billing model
On-demand (per-second)
On-demand, Reserved
Min commitment
None
None
Support tier
Community → Enterprise
Basic → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Brev.dev

Brev.dev (part of NVIDIA) is a developer GPU cloud that provisions H100, A100, RTX 4090, L4, and T4 instances with one-command CLI provisioning and NVIDIA-optimized ML stacks pre-installed, eliminating environment setup for AI training and inference. On-demand per-second billing means you only pay for actual compute time, making it highly cost-efficient for iterative ML development and rapid prototyping. A fast way to get an NVIDIA-optimized GPU environment running for LLM fine-tuning or model deployment.

Strengths
  • One-command CLI provisioning
  • NVIDIA-optimized environments pre-installed
  • Per-second billing — zero idle cost
  • Part of NVIDIA — deep ecosystem integration
Weaknesses
  • Developer-focused — limited enterprise features
  • Small provider with limited scale
  • No enterprise SLAs
Best For
ML developers wanting zero-setup GPU environmentsRapid prototyping and iterationNVIDIA ecosystem usersTeams wanting per-second billing on NVIDIA hardware
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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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Live GPU Pricing

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Region Coverage

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

Popular Comparisons

Key differences

Brev.dev

NVIDIA developer GPU cloud — one-command provisioning with NVIDIA-optimized ML stacks

Scaleway

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

AttributeBrev.devScaleway
Provider typespecialistspecialist
Billing modelOn-demand (per-second)On-demand, Reserved
Min commitmentNoneNone
Regions1 (US)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierCommunity → EnterpriseBasic → Enterprise
Best forML developers wanting zero-setup GPU environments, Rapid prototyping and iterationEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2021 · San Francisco, CA2015 · Paris, France