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Koyeb vs Latitude.sh: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Bare-metal
Founded
2021
2020
Headquarters
Paris, France
São Paulo, Brazil
Billing model
Pay-per-use (per-second), Saving plans
On-demand, Monthly (reserved), Yearly (reserved)
Min commitment
None
None
Support tier
Community → Enterprise
Standard → Enterprise
Regions
3 regions
4 regions

Strengths & Best For

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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Latitude.sh

Latitude.sh provides bare-metal GPU servers with no virtualization overhead across 26 global regions. GPU catalog: HGX B300 (8×, 2304 GB VRAM, 800 Gbps dual-plane RoCE), RTX PRO 6000 (8×, 768 GB VRAM), H100 80GB. Monthly and yearly reserved pricing tiers are available at lower rates than on-demand hourly. 20 TB free outbound transfer per server. Automated bare-metal with Kubernetes (LKS), virtual machines, managed Postgres, and private networking. SOC 2 Type 2 certified. AMD EPYC Gen 4 CPUs with DDR5 RAM and NVMe storage.

Strengths
  • HGX B300 (8-GPU) — latest Blackwell bare-metal
  • RTX PRO 6000 (8-GPU) — 768 GB VRAM for large inference
  • H100 — competitive single-GPU bare-metal
  • 20 TB free outbound transfer per server
  • 26 global regions including Brazil (LATAM coverage)
  • Monthly and yearly reserved pricing tiers available
Weaknesses
  • Bare-metal only — no managed Kubernetes or MLOps tooling beyond LKS
  • Limited GPU catalog (3 GPU SKUs)
  • Fewer regions than hyperscalers
Best For
Performance-critical workloads needing bare-metalLatency-sensitive inference with no virtualization overheadLATAM teams needing Brazil regionTeams wanting automated bare-metal with Kubernetes
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Live GPU Pricing

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Region Coverage

Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)

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Key differences

Koyeb

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

Latitude.sh

HGX B300, RTX PRO 6000, H100 — bare-metal in 26 regions

AttributeKoyebLatitude.sh
Provider typespecialistbare-metal
Billing modelPay-per-use (per-second), Saving plansOn-demand, Monthly (reserved), Yearly (reserved)
Min commitmentNoneNone
Regions3 (EU, US, Asia)4 (US-East, EU-West, BR-South, +1)
Support tierCommunity → EnterpriseStandard → Enterprise
Best forInference API deployments with variable traffic, Serverless AI applicationsPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overhead
Founded / HQ2021 · Paris, France2020 · São Paulo, Brazil