iRender vs Verda: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

iRender

Verda

Provider type

Specialist

Founded

2019

2022

Headquarters

Hanoi, Vietnam

Oslo, Norway

Billing model

On-demand (hourly)

On-demand, Spot, Reserved (1mo–2yr)

Min commitment

None

Support tier

Community → Standard

Standard → Enterprise (ML craftsmen + infra engineers)

Regions

3 regions

2 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

Weaknesses

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

Best For

3D renderingAI trainingAPAC-based teamsCreative workloads

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Verda

Verda is a full-stack European AI cloud built for the full AI lifecycle — from rapid prototyping to foundation training and scalable inference. GPU catalog: GB300 SXM6, B300 SXM6, B200 SXM6, H200 SXM5, H100 SXM5, A100 SXM4, RTX PRO 6000, L40S — on-demand and spot. Instant clusters with InfiniBand interconnect up to 144× GPUs self-service. Serverless containers with scale-to-zero. GB300 NVL72 available (NVLink v5). $155M funding (NIB joined July 2026). SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5 certified. In-house AI Lab co-engineering with customers (1X World Model, SGLang, vLLM). 99.9% uptime.

Strengths

GB300, B300, B200 — competitive Blackwell pricing with spot options
Spot pricing available across all GPU tiers
Instant clusters up to 144× GPUs with InfiniBand, self-service
In-house AI Lab: co-engineering with 1X, SGLang, vLLM
SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5
GB300 NVL72 with NVLink v5 available

Weaknesses

Primarily EU regions — limited US/APAC coverage
Newer provider — smaller ecosystem vs hyperscalers
Reserved discounts are modest (2–25% off on-demand)

Best For

EU AI teams needing GDPR and ISO 27001 complianceFull AI lifecycle — prototyping through foundation trainingTeams wanting co-engineering support from AI LabConfidential computing workloads (hardware-attested inference)

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Verda Rating

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