iRender vs Salad: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

iRender

Salad

Provider type

Specialist

Marketplace

Founded

2019

2018

Headquarters

Hanoi, Vietnam

Boston, MA

Billing model

On-demand (hourly)

Per-second on-demand, Reserved contracts (Dedicated)

Min commitment

None

None (Community Cloud)

Support tier

Community → Standard

Community → Enterprise

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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iRender Rating

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Salad

Salad orchestrates idle consumer GPUs from homes and small businesses worldwide into a single API-driven platform. GPU catalog: RTX 5090, RTX 4090, RTX 5080, RTX 4080, RTX 3090. Four priority tiers: High (never preempted), Medium, Low, Lowest (batch, cheapest). vCPU and RAM included with every GPU. Products: Community Cloud (lowest-cost distributed pool), Salad Dedicated (reserved RTX PRO 6000 Blackwell bare metal on contract), AI Gateway (OpenAI-compatible LLM endpoint), Transcription API, Private AI Cloud (run on your own idle GPUs). SOC 2 Type I. Trusted by Civitai (10M images/day).

Strengths

RTX 4090 (Lowest priority) — cheapest RTX 4090 inference anywhere
RTX 5090 (Lowest priority) — Blackwell at consumer prices
Four priority tiers: High/Medium/Low/Lowest — balance cost vs reliability
vCPU and RAM included with every GPU at no extra charge
Per-second billing, no cold-start charges, no minimums
Salad Dedicated: RTX PRO 6000 Blackwell bare metal on contract

Weaknesses

Consumer GPU network — not suitable for sub-10ms latency or NVLink multi-GPU training
No data-residency guarantees on Community Cloud
Interruptible nodes require fault-tolerant workload design

Best For

Batch image generation and video AI at lowest costLLM inference via AI GatewaySpeech-to-text transcription at scaleTeams wanting private cloud on their own idle hardware

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Salad Rating

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