CloudGPU vs iRender: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

CloudGPU

iRender

Provider type

Specialist

Founded

2019

Headquarters

Hanoi, Vietnam

Billing model

On-demand (per-minute)

On-demand (hourly)

Min commitment

None

Support tier

Community

Community → Standard

Regions

1 regions

3 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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iRender

iRender is a GPU cloud provider specializing in AI training, 3D rendering, and VFX workloads, offering RTX 4090, A100, and H100 instances with competitive APAC pricing across global nodes. On-demand hourly GPU rental makes it accessible for creative studios and AI teams in Southeast Asia and beyond who need high-performance GPU compute for both rendering pipelines and model training. A strong choice for APAC-based teams that need a single platform for both AI and creative GPU workloads.

Strengths