Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
Compute Exchange serves as an online platform for organizations looking to acquire GPU infrastructure. It consolidates available cloud GPU resources, data center equipment, and future compute agreements into a single marketplace. Users can define their needs by selecting GPU specifications such as model, quantity, location, and duration, allowing them to assess vendor proposals and juxtapose pricing, availability, and service-level agreements from various suppliers. In terms of hardware, the platform connects buyers and sellers of both used and refurbished data center GPUs, facilitating direct negotiations among verified parties. For reserved capacity, it centralizes offers from cloud service providers, although Compute Exchange does not directly manage the compute resources. This innovative service is tailored for AI laboratories, startups, large enterprises, data centers, and other institutional clients in search of GPU resources or hardware suitable for artificial intelligence and machine-learning applications. Ultimately, Compute Exchange streamlines the process of sourcing essential GPU infrastructure for a wide range of users in the tech industry.
Description
GPUniq is a decentralized cloud platform that consolidates GPUs from various global suppliers into a unified and dependable infrastructure for AI training, inference, and demanding workloads. By automatically directing tasks to the most suitable hardware, it enhances both cost-effectiveness and performance, while also offering built-in failover mechanisms to guarantee stability, even if certain nodes become unavailable.
In contrast to conventional hyperscalers, GPUniq eliminates vendor lock-in and additional overhead by acquiring computing resources directly from private GPU owners, data centers, and local setups. This strategy enables users to tap into high-performance GPUs at costs that can be 3–7 times lower, all while ensuring production-level dependability.
Additionally, GPUniq facilitates on-demand scaling via its GPU Burst feature, allowing for immediate expansion across various providers. With its API and Python SDK integration, teams can effortlessly link GPUniq to their existing AI workflows, LLM processes, computer vision applications, and rendering operations, enhancing their overall efficiency and capabilities. This comprehensive approach makes GPUniq a compelling option for organizations looking to optimize their computational resources.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$1.10/GPU/hour
H100 GPU capacity is advertised from $1.10 per GPU/hour. Rates vary by GPU model, region, quantity, and reservation term. Data-center hardware is priced by configuration and condition.
Free Trial
No
Free Version
No
Pricing Details
$5/month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Compute Exchange
Founded
2024
Country
United States
Website
compute.exchange/
Vendor Details
Company Name
GPUniq
Founded
2025
Country
United Arab Emirates
Website
gpuniq.com
Product Features
Product Features
Alternatives
No Alternatives