Provider Overview
Strengths & Best For
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.
- Competitive APAC pricing
- RTX 4090 availability
- Rendering-optimized
- Global nodes
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
- Very low prices on H100 and A100
- Large pool of available GPUs
- Decentralized resilience
- Crypto-native billing
Live GPU Pricing
Region Coverage
Popular Comparisons
iRender — specialist 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.
IO.NET — marketplace provider
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
Billing model comparison
iRender uses a On-demand (hourly) billing model with a minimum commitment of None. IO.NET uses On-demand 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
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. IO.NET is best suited for: Batch inference, Cost-sensitive training, Crypto-native teams. Its key strengths are very low prices on h100 and a100, large pool of available gpus, decentralized resilience. 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
iRender offers Community → Standard support across 3 regions (APAC, US, EU). IO.NET offers Community support across 1 region (Various). iRender's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: iRender vs IO.NET
iRender was founded in 2019 and is headquartered in Hanoi, Vietnam. IO.NET was founded in 2023 and is headquartered in San Francisco, CA. iRender has 4 years more operational history than IO.NET, 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.