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OpenRelay vs Shadeform: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2023
Headquarters
San Francisco, CA
Billing model
On-demand
On-demand, Spot
Min commitment
None
None
Support tier
Community → Enterprise
Regions
1 regions
4 regions

Strengths & Best For

OpenRelay

OpenRelay offers on-demand cloud GPU instances and an OpenAI-compatible inference API, billed hourly with no commitment, quota, or reservation required.

Strengths
    Best For
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    Shadeform

    Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. A fast way to find and launch low-cost GPUs for AI training or inference workloads.

    Strengths
    • 30+ provider network via single API
    • Automatic cheapest-price routing
    • Wide GPU selection across providers
    • Multi-cloud flexibility without multiple accounts
    Weaknesses
    • Aggregator — pricing and availability depends on underlying providers
    • No direct infrastructure control
    • Limited enterprise features
    Best For
    Teams wanting multi-cloud GPU flexibilityCost-optimized GPU provisioningSpot-tolerant workloads needing lowest price
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    Key differences

    OpenRelay

    On-demand cloud GPUs and OpenAI-compatible inference, billed hourly with no commitment, quota, or reservation.

    Shadeform

    GPU cloud aggregator — launch GPUs across 30+ providers via one API

    AttributeOpenRelayShadeform
    Provider typespecialistmarketplace
    Billing modelOn-demandOn-demand, Spot
    Min commitmentNoneNone
    Regions1 (US)4 (US, EU, APAC, +1)
    Support tierCommunity → Enterprise
    Best forTeams wanting multi-cloud GPU flexibility, Cost-optimized GPU provisioning
    Founded / HQ · 2023 · San Francisco, CA