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Packet AI vs Scaleway: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2025
2015
Headquarters
United States
Paris, France
Billing model
On-demand hourly and monthly
On-demand, Reserved
Min commitment
None
None
Support tier
Standard
Basic → Enterprise
Regions
2 regions
3 regions

Strengths & Best For

Packet AI

Packet AI offers dedicated single-tenant and dynamic scheduler-managed shared GPU instances for AI workloads. Both deployment options are available with on-demand hourly and monthly billing. Packet AI also provides Token Factory, a managed LLM inference API with an OpenAI-compatible endpoint for teams that want to serve models without operating their own inference stack.

Strengths
  • Dedicated and dynamic GPU instances
  • Hourly and monthly billing
  • Managed OpenAI-compatible LLM inference API
  • Single-tenant deployment option
Weaknesses
  • Smaller ecosystem than hyperscale clouds
  • Some GPU configurations are region-specific
Best For
Dedicated GPU workloadsScheduler-managed GPU capacityManaged LLM inference
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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)

Popular Comparisons

Key differences

Packet AI

Dedicated and dynamic GPU instances with managed LLM inference

Scaleway

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

AttributePacket AIScaleway
Provider typespecialistspecialist
Billing modelOn-demand hourly and monthlyOn-demand, Reserved
Min commitmentNoneNone
Regions2 (US, UK)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandardBasic → Enterprise
Best forDedicated GPU workloads, Scheduler-managed GPU capacityEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2025 · United States2015 · Paris, France