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Vast.ai vs iRender: GPU Compute Price Comparison

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

Provider Overview

Provider type
Marketplace
Specialist
Founded
2017
2019
Headquarters
San Francisco, CA
Hanoi, Vietnam
Billing model
On-demand, Spot (bid-based)
On-demand (hourly)
Min commitment
None
None
Support tier
Community → Pro
Community → Standard
Regions
4 regions
3 regions

Strengths & Best For

Vast.ai

Vast.ai is a peer-to-peer GPU marketplace listing 10,000+ GPUs — including H100, A100, and RTX 4090 — from hosts worldwide, consistently offering some of the lowest spot GPU rental prices available anywhere. Both on-demand and bid-based spot pricing are available, enabling researchers and developers to run LLM fine-tuning, image generation, and batch AI workloads at a fraction of traditional cloud costs. The largest and most price-competitive GPU marketplace for budget-conscious AI teams.

Strengths
  • Lowest spot prices
  • Wide GPU variety
  • Bid-based pricing
  • Large host network
Best For
Budget-conscious developersSpot-tolerant batch jobsResearchers needing cheap GPUs
Visit Vast.ai
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

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Popular Comparisons

Vast.aimarketplace provider

Vast.ai is a peer-to-peer GPU marketplace listing 10,000+ GPUs — including H100, A100, and RTX 4090 — from hosts worldwide, consistently offering some of the lowest spot GPU rental prices available anywhere. Both on-demand and bid-based spot pricing are available, enabling researchers and developers to run LLM fine-tuning, image generation, and batch AI workloads at a fraction of traditional cloud costs. The largest and most price-competitive GPU marketplace for budget-conscious AI teams.

iRenderspecialist provider

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.

Billing model comparison

Vast.ai uses a On-demand, Spot (bid-based) billing model with a minimum commitment of None. iRender uses On-demand (hourly) billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.

Which workloads each provider suits best

Vast.ai is best suited for: Budget-conscious developers, Spot-tolerant batch jobs, Researchers needing cheap GPUs. Its key strengths are lowest spot prices, wide gpu variety, bid-based pricing. iRender is best suited for: 3D rendering, AI training, APAC-based teams, Creative workloads. Its key strengths are competitive apac pricing, rtx 4090 availability, rendering-optimized. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.

Support tiers and region coverage

Vast.ai offers Community → Pro support across 4 regions (US, EU, APAC and 1 more). iRender offers Community → Standard support across 3 regions (APAC, US, EU). Vast.ai's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Vast.ai vs iRender

Vast.ai was founded in 2017 and is headquartered in San Francisco, CA. iRender was founded in 2019 and is headquartered in Hanoi, Vietnam. Vast.ai has 2 years more operational history than iRender, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.