+
+

Related Products

  • Google Compute Engine
    1,166 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Runpod
    220 Ratings
    Visit Website
  • Nexcess Digital Cloud
    205 Ratings
    Visit Website
  • OpenMetal
    40 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • Nexcess Managed Cloud
    210 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • Google Cloud Run
    347 Ratings
    Visit Website
  • JS7 JobScheduler
    1 Rating
    Visit Website

About

GPUniq is a decentralized GPU cloud platform that aggregates GPUs from multiple global providers into a single, reliable infrastructure for AI training, inference, and high-performance workloads. The platform automatically routes tasks to the best available hardware, optimizes cost and performance, and provides built-in failover to ensure stability even if individual nodes go offline. Unlike traditional hyperscalers, GPUniq removes vendor lock-in and overhead by sourcing compute directly from private GPU owners, data centers, and local rigs. This allows users to access high-end GPUs at up to 3–7× lower cost while maintaining production-level reliability. GPUniq supports on-demand scaling through GPU Burst, enabling instant expansion across multiple providers. With API and Python SDK integration, teams can seamlessly connect GPUniq to their existing AI pipelines, LLM workflows, computer vision systems, and rendering tasks.

About

Kinesis is a unified compute platform that turns fragmented infrastructure across clouds, on-premises systems, edge environments, and partner data centers into one orchestrated grid. Teams can push a GitHub repository, provide a Dockerfile or container image, connect a registry, choose a template, or describe an application, and Kinesis inspects the workload, finds suitable CPU or GPU capacity, and returns a live deployment. Its intent-driven controls let users optimize for cost, reliability, latency, or multi-cloud operation without wiring VPCs, IAM hierarchies, security groups, or other infrastructure plumbing. Standard containers run across providers without rewrites or lock-in, while networking, autoscaling, monitoring, health checks, failover, recovery, certificates, secrets, and rollbacks are built into every deployment. It continuously makes placement, scaling, utilization, and failure-handling decisions across a heterogeneous compute graph.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI startups, machine learning engineers, data scientists, AI researchers, computer vision teams, 3D artists, game developers, and tech companies building AI-powered products.

Audience

Biotech engineering teams that need portable, reliable GPU infrastructure for running demanding AI and simulation workloads

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$5/month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

GPUniq
Founded: 2025
United Arab Emirates
gpuniq.com

Company Information

Kinesis Network
Founded: 2024
United States
kinesis.network/

Alternatives

Alternatives

Targon

Targon

Manifold Labs

Categories

Categories

Integrations

GitHub

Integrations

GitHub
Claim GPUniq and update features and information
Claim GPUniq and update features and information
Claim Kinesis Network and update features and information
Claim Kinesis Network and update features and information