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CloudGPU vs EcoHash: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2024
Headquarters
United States
Billing model
On-demand (per-minute)
On-demand
Min commitment
None
None
Support tier
Community
Community → Standard
Regions
1 regions
1 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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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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EcoHash Rating

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Live GPU Pricing

GPU Model
RTX 4090
$0.39
$0.42
A100 80GB
$1.59
$1.09

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Popular Comparisons

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

EcoHash

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

AttributeCloudGPUEcoHash
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand
Min commitmentNoneNone
Regions1 (Global)1 (US)
Support tierCommunityCommunity → Standard
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsLarge-context LLM inference needing maximum VRAM, Teams wanting RTX PRO 6000 on-demand
Founded / HQ · 2024 · United States