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CloudGPUvsE2E Networks

CloudGPU vs E2E Networks: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and E2E Networks. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
CloudGPU
E2E Networks
Provider type
Specialist
Specialist
Founded
2009
Headquarters
New Delhi, India
Billing model
On-demand (per-minute)
On-demand
Min commitment
None
None
Support tier
Community
Standard → Enterprise
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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E2E Networks

E2E Networks is an Indian GPU cloud provider offering H200, H100, A100 80GB, A100 40GB, and L40S instances with India data residency and competitive pricing for the South Asian market. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. Listed on NSE (National Stock Exchange of India). A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.

Strengths
  • India data residency — data stays in India
  • H200 and H100 availability
  • NSE-listed — established Indian cloud provider
  • Competitive pricing for South Asian market
  • On-demand billing with no minimum commitment
Weaknesses
  • Primarily India-focused — limited global regions
  • Smaller GPU catalog than hyperscalers
  • Less mature ML ecosystem vs global providers
Best For
Indian AI teams with data residency requirementsSouth Asian enterprises needing local data storageCost-sensitive Indian ML workloadsTeams needing low-latency GPU access within India
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Live GPU Pricing

GPU Model
CloudGPU /hr
E2E Networks /hr
A100 40GB
$0.79
$1.98
A100 80GB
$1.59
$2.10

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

Region Coverage

CloudGPU — 1 regions
Global
E2E Networks — 1 regions
IN

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Provider pages

CloudGPU pricing and specs E2E Networks pricing and specs

Key differences

CloudGPU

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

E2E Networks

Indian GPU cloud — H200, H100, A100 with India data residency

AttributeCloudGPUE2E Networks
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand
Min commitmentNoneNone
Regions1 (Global)1 (IN)
Support tierCommunityStandard → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsIndian AI teams with data residency requirements, South Asian enterprises needing local data storage
Founded / HQ · 2009 · New Delhi, India