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iRender vs Novita: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2019
2023
Headquarters
Hanoi, Vietnam
San Francisco, CA
Billing model
On-demand (hourly)
Per-token (inference), On-demand / Spot (GPU cloud)
Min commitment
None
None
Support tier
Community → Standard
Community → Enterprise
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
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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Novita

Novita has grown into a dual-product platform: a GPU cloud for training and fine-tuning (H100 SXM, A100, RTX 4090) and a high-volume LLM inference API serving 100+ open-source models at some of the lowest per-token rates in the market. In 2025–2026 Novita expanded its model catalog to include Llama 3.1/3.2, Qwen 2.5, DeepSeek V3/R1, and Mistral variants, and introduced batch inference pricing for high-volume workloads at up to 50% discount. The GPU cloud side offers fast provisioning (typically under 3 minutes), pre-built Docker environments for PyTorch and JAX, and persistent storage volumes. A practical choice for cost-conscious teams that want both raw GPU access and a cheap inference API from one provider.

Strengths
  • Among the lowest per-token LLM inference pricing in the market
  • Batch inference API at up to 50% discount for high-volume workloads
  • 100+ open-source models including Llama 3.2, Qwen 2.5, DeepSeek R1
  • Fast GPU provisioning — typically under 3 minutes
  • Pre-built PyTorch and JAX environments reduce setup time
Weaknesses
  • Smaller provider — cluster scale limited vs CoreWeave or Lambda for very large jobs
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Less mature enterprise support and SLA options
Best For
Cost-optimized LLM inference at scaleStartups needing cheap inference API + GPU training from one vendorBatch processing workloads with high token volumesTeams fine-tuning Llama or Qwen on a budget
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Key differences

iRender

GPU cloud for AI and rendering workloads

Novita

GPU cloud and LLM inference API — H100, A100, and 100+ open-source models

AttributeiRenderNovita
Provider typespecialistspecialist
Billing modelOn-demand (hourly)Per-token (inference), On-demand / Spot (GPU cloud)
Min commitmentNoneNone
Regions3 (APAC, US, EU)3 (US, EU, APAC)
Support tierCommunity → StandardCommunity → Enterprise
Best for3D rendering, AI trainingCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendor
Founded / HQ2019 · Hanoi, Vietnam2023 · San Francisco, CA