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OpenRelay

Global GPU network for AI workloads

GPU-focused🇺🇸 USgpuinferenceapi

Last reviewed Oct 5, 2026

OpenRelay provides cloud computing services focused on GPU resources and AI inference through a unified API.

GPU Models
9
From / hour
$0.18
LLM Models
7
From / 1M input
$0.01

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: October 5, 2026

A100 SXM
$1.10/hr
1×
B200
$5.50/hr
1×
H100 SXM
$2.60/hr
1×
HGX B300
$7.49/hr
1×
MI355X
$5.50/hr
1×
RTX 3090
$0.180/hr
1×
RTX 4090
$0.350/hr
1×
RTX 5090
$0.600/hr
1×
RTX PRO 6000
$1.55/hr
1×

OpenRelay pricing by GPU

Configurations, price rank, and alternatives for one GPU at a time.

LLM API Pricing

Pay-per-token pricing. Prices shown per 1M tokens.

Prices last updated: October 5, 2026

ModelInput/1MOutput/1M
$0.013$0.0000
$0.050$0.200
$0.150$0.600
$0.195$0.650
$0.220$0.660
$0.420$3.00
$1.82$5.72

OpenRelay pricing by model

Input, output, and batch rates, plus alternatives, for one model at a time.

Pros & Cons

Advantages

  • Global infrastructure for increased availability
  • Support for multiple AI models
  • Comprehensive documentation and API resources
  • Flexible resource management

Limitations

  • Limited information on company ownership
  • Headquarters location not specified
  • No details on legal entity registration

Key Features

Global GPU Capacity

A worldwide network of GPUs accessible through a single platform.

Automatic Failover

Traffic is rerouted to healthy nodes to ensure service continuity.

Instant Load Balancing

Requests are distributed evenly across available resources.

API Integration

Compatible with existing OpenAI SDKs and other client implementations.

Serverless Inference

Model hosting that scales according to traffic demands.

Availability & Support

Regions

Available globally

Support

Support via documentation and contact options.

Company

Published by OpenRelay to identify the company behind this listing.

Headquarters
🇺🇸 Virginia, United States

Getting Started

  1. 1

    Create an Account

    Sign up on the OpenRelay website to access services.

  2. 2

    Launch a GPU

    Select from available NVIDIA GPUs and initiate a virtual machine.

  3. 3

    Explore Inference APIs

    Utilize various hosted models through the Inference API.

  4. 4

    Integrate API Key

    Configure your application to authenticate with OpenRelay's API.

  5. 5

    Deploy Workloads

    Use CLI tools or dashboard to manage deployments.

Frequently Asked Questions

What GPU types does OpenRelay offer?

OpenRelay offers various GPU types including A100 SXM, MI355X, H100 SXM, RTX 4090, HGX B300, RTX 5090, B200, RTX PRO 6000, RTX 3090. Check the pricing table above for current availability and pricing.

How do I get started with OpenRelay?

Create an Account, Launch a GPU, Explore Inference APIs, Integrate API Key, Deploy Workloads

What are OpenRelay's main advantages?

OpenRelay's main advantages include: Global infrastructure for increased availability, Support for multiple AI models, Comprehensive documentation and API resources, Flexible resource management.

What are OpenRelay's limitations?

OpenRelay's main limitations include: Limited information on company ownership, Headquarters location not specified, No details on legal entity registration.

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