+
+

Related Products

  • Runpod
    220 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Google Compute Engine
    1,166 Ratings
    Visit Website
  • Nexcess Digital Cloud
    205 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • InMotion Hosting
    2,952 Ratings
    Visit Website
  • Cloudflare
    2,026 Ratings
    Visit Website
  • Nexcess Managed Cloud
    210 Ratings
    Visit Website
  • OpenMetal
    40 Ratings
    Visit Website
  • HostZealot
    303 Ratings
    Visit Website

About

GPU.ai is a cloud platform specialized in GPU infrastructure tailored to AI workloads. It offers two main products: GPU Instance, letting users launch compute instances with recent NVIDIA GPUs (for tasks like training, fine-tuning, and inference), and model inference, where you upload your pre-built models and GPU.ai handles deployment. The hardware options include H200s and A100s. It also supports custom requests via sales, with fast responses (within ~15 minutes) for more specialized GPU or workflow needs.

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

Developers, AI engineers, and companies requiring a tool for training, deploying, or serving AI models without owning the physical hardware

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

Screenshots and Videos

Pricing

$2.29 per hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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

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

GPU.ai
United States
gpu.ai/

Company Information

Kinesis Network
Founded: 2024
United States
kinesis.network/

Alternatives

Alternatives

Targon

Targon

Manifold Labs

Categories

Categories

Integrations

DEEPMOTION
GitHub
Supermicro MicroCloud

Integrations

DEEPMOTION
GitHub
Supermicro MicroCloud
Claim GPU.ai and update features and information
Claim GPU.ai and update features and information
Claim Kinesis Network and update features and information
Claim Kinesis Network and update features and information