DataVolt vs iRender: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

DataVolt

iRender

Provider type

Specialist

Founded

2023

2019

Headquarters

Europe

Hanoi, Vietnam

Billing model

On-demand, Spot

On-demand (hourly)

Min commitment

None

Support tier

Community → Standard

Regions

1 regions

3 regions

Strengths & Best For

DataVolt

DataVolt is a European GPU cloud offering H100, H200, A100, and L40S instances with competitive on-demand and spot GPU rental pricing, full EU data residency, and straightforward access for AI and ML workloads. Spot availability makes it a cost-effective option for interruptible LLM training and fine-tuning jobs, while on-demand instances suit production inference. A practical European GPU cloud for teams that need GDPR-compliant infrastructure with flexible billing.

Strengths

Competitive H100/H200 pricing
Spot availability
EU data residency
Simple pricing

Weaknesses

Smaller provider — limited scale vs hyperscalers
Fewer regions than major cloud providers
Less mature ecosystem and fewer integrations

Best For

EU AI teamsCost-sensitive H100 workloadsSpot-tolerant training

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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