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iRender vs RunPod: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for iRender and RunPod. Updated July 2026.

Provider Overview

Attribute
Provider type
Specialist
Specialist
Founded
2019
2022
Headquarters
Hanoi, Vietnam
San Francisco, CA
Billing model
On-demand (hourly)
On-demand, Spot (interruptible)
Min commitment
None
None
Support tier
Community → Standard
Community → Pro
Regions
3 regions
3 regions

Strengths & Best For

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
  • Competitive APAC pricing
  • RTX 4090 availability
  • Rendering-optimized
  • Global nodes
Best For
3D renderingAI trainingAPAC-based teamsCreative workloads
Visit iRender
RunPod

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Strengths
  • Very competitive pricing
  • Wide GPU selection
  • Spot instances
  • Serverless GPU option
Best For
Budget-conscious developersExperimentationBatch inference jobs
Visit RunPod

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Region Coverage

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