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Civo vs EcoHash: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2018
2024
Headquarters
London, UK
United States
Billing model
On-demand, 6/12/24/36-month commitments
On-demand
Min commitment
None (on-demand)
None
Support tier
Standard → Enterprise
Community → Standard
Regions
4 regions
1 regions

Strengths & Best For

Civo

Civo is a developer-focused cloud platform offering B200, H200, H100, A100, and L40S GPU instances with UK data sovereignty and competitive pricing. On-demand and 36-month commitment options available. Vera Rubin NVL72 and B300 Blackwell Ultra coming soon. Kubernetes GPU clusters deploy in 120 seconds. 100% renewable energy, annualised PUE ~1.2. ISO 27001, SOC 2 Type II. UK data sovereignty — data not transferred internationally.

Strengths
  • B200, H200, H100 — competitive UK pricing
  • 36-month commitment pricing available
  • UK data sovereignty — data never transferred internationally
  • Kubernetes GPU clusters in 120 seconds
  • 100% renewable energy, PUE ~1.2
  • ISO 27001, SOC 2 Type II certified
Weaknesses
  • Primarily UK-focused — limited global regions
  • Smaller provider — limited scale vs hyperscalers
  • B300/Vera Rubin not yet available
Best For
UK/EU teams needing data sovereigntyKubernetes-native AI deploymentTeams wanting renewable-energy GPU computeLong-term commitments at discounted rates
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EcoHash

EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.

Strengths
  • RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
  • Open-model inference API
  • Large-context inference capability
  • Competitive RTX PRO 6000 pricing
Weaknesses
  • Very new provider — limited track record
  • Smaller scale vs established providers
  • Limited documentation and ecosystem
Best For
Large-context LLM inference needing maximum VRAMTeams wanting RTX PRO 6000 on-demandOpen-model API users
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Key differences

Civo

B200, H200, H100, A100 — UK sovereign cloud, 36-mo commitments

EcoHash

RTX PRO 6000 GPU cloud with an open-model inference API

AttributeCivoEcoHash
Provider typespecialistspecialist
Billing modelOn-demand, 6/12/24/36-month commitmentsOn-demand
Min commitmentNone (on-demand)None
Regions4 (UK, EU, US, +1)1 (US)
Support tierStandard → EnterpriseCommunity → Standard
Best forUK/EU teams needing data sovereignty, Kubernetes-native AI deploymentLarge-context LLM inference needing maximum VRAM, Teams wanting RTX PRO 6000 on-demand
Founded / HQ2018 · London, UK2024 · United States