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Hot Aisle vs Koyeb: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Bare-metal
Specialist
Founded
2020
2021
Headquarters
United Kingdom
Paris, France
Billing model
Monthly / On-demand
Pay-per-use (per-second), Saving plans
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Hot Aisle

Hot Aisle provides bare-metal H100, A100, and RTX GPU servers with no virtualization overhead and dedicated hardware for AI training and HPC workloads, based in the UK. Monthly and on-demand billing options are available for teams that need consistent, dedicated GPU performance without shared-tenancy concerns. A strong bare-metal GPU option for UK-based HPC teams and AI labs that need maximum hardware performance and full control over their compute environment.

Strengths
  • Bare-metal performance
  • No virtualization overhead
  • UK presence
Weaknesses
  • Bare-metal only — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
HPC workloadsDedicated trainingPerformance-critical AI
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Koyeb

Koyeb is joining Mistral AI to build the future of AI infrastructure. The platform offers serverless GPU compute with automatic scaling to zero and per-second billing. GPU catalog: B200, H200, H100, A100 SXM, RTX PRO 6000, A100, L40S, RTX A6000, L4, RTX 4000 SFF Ada. N300s (NVIDIA Rubin) available via request. 7 regions in US, EU, and Asia. Saving plans up to 50% off. Kubernetes deployment in 120 seconds. Check koyeb.com/pricing for current rates.

Strengths
  • B200, H200, H100 — competitive serverless pricing
  • Joining Mistral AI — strong AI infrastructure future
  • Automatic scaling to zero — no idle costs
  • Per-second billing, Kubernetes in 120 seconds
  • 7 regions in US, EU, and Asia
  • N300s (NVIDIA Rubin) available via request
Weaknesses
  • Acquisition by Mistral AI may change product direction
  • Fewer regions than major cloud providers
  • Less mature ecosystem vs CoreWeave or Lambda
Best For
Inference API deployments with variable trafficServerless AI applicationsTeams wanting zero-ops GPU inferenceMistral AI ecosystem users
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Key differences

Hot Aisle

Bare-metal GPU infrastructure

Koyeb

Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero

AttributeHot AisleKoyeb
Provider typebare-metalspecialist
Billing modelMonthly / On-demandPay-per-use (per-second), Saving plans
Min commitmentNoneNone
Regions1 (UK)3 (EU, US, Asia)
Support tierStandardCommunity → Enterprise
Best forHPC workloads, Dedicated trainingInference API deployments with variable traffic, Serverless AI applications
Founded / HQ2020 · United Kingdom2021 · Paris, France