GPU.ai

What is GPU.ai?

GPU.ai is a GPU cloud for machine learning teams that want on-demand NVIDIA hardware without comparing several providers. It scans capacity and prices across connected data centers in North America, Europe, India and Asia-Pacific, then launches each job on the lowest-priced machine that matches your spec. The catalog lists cards such as the RTX 4090, A100, H100, H200, B200 and B300, with VRAM, regions and live availability beside every rate. Billing is per second from the moment an instance is reachable over SSH until you stop it, with no hourly rounding or idle reservation fees. You launch from a command-line tool or an API, and the vendor says instances are ready in under 60 seconds. Reserved instances trade a commitment for a deeper discount, and a serverless option scales to zero. New users can try a free trial with up to $100 in credits, no credit card required.

Use cases

• Rent GPUs for model training
• Run inference workloads on demand
• Launch GPU instances from the terminal
• Compare live GPU prices across providers
• Reserve capacity for long runs
• Run serverless GPU requests

Who it's for

• ML engineers
• AI researchers
• Startups building models
• Platform teams

Why use GPU.ai

• Skip checking several provider dashboards; the lowest-priced match is chosen for you.
• Pay only for the seconds an instance runs, with no minimums.
• Switch providers and regions without changing your workflow.
• Try the service with trial credits before adding a payment method.
• Get a refund for affected usage after a real technical issue such as a dead GPU.

GPU.ai features

• Live price catalog listing VRAM, regions and availability per GPU
• Best-price routing across connected providers on every launch
• Per-second billing from SSH-ready to stop
• CLI and API that stay the same across providers
• Whole dedicated physical GPUs, never sliced between tenants
• Reserved instances for dedicated committed capacity
• Serverless option that scales to zero
• Instant-boot and community capacity filters in the CLI
• Certified image option with a pinned CUDA environment

How to get started with GPU.ai

1. Pick a GPU model and quantity from the live catalog or the CLI.
2. GPU.ai finds the cheapest connected provider with stock for that spec.
3. Launch with one command and connect over SSH to a ready ML environment.
4. Run your job; billing is metered per second until you stop the instance.

GPU.ai limitations

• On-demand instances run on shared hosts, so performance can vary between runs
• Serverless requests can hit a cold start after idle periods
• Reserved capacity bills for the full term whether used or not
• Container-type capacity cannot run Docker-in-Docker

GPU.ai pricing

GPU.ai has no free plan. Plans start at $0.24 usage-based, according to the official pricing page on 24 Oct 2026.

GPU.ai plans

• Free trial

  Free

  up to $100 in credits

  • No credit card required

• On-demand

  From $0.24/hr

  billed per second, rates change live

  • Live per-GPU rates
  • Per-second billing
  • Best-price routing
  • SSH access in under 60 seconds

• Reserved

  Price on vendor site

  billed for the committed term

  • Deeper discount for long runs
  • Dedicated committed capacity

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

GPU.ai alternatives

The main GPU.ai alternatives listed on Debuly are Runpod, Lambda, Vast.ai, CoreWeave, Together AI and Inference.ai. The table compares pricing and platforms; order is A–Z.

1. 

   CoreWeave

   AI cloud that rents NVIDIA GPU capacity by the hour, with on-demand, spot and reserved plans for model training and inference.

   Developer platformsCoding
   PaidVisit CoreWeave (official site)
2. 

   Inference.ai

   AI agent and model platform with always-on agent VMs, one-key access to many LLMs, and GPU compute at reduced rates.

   Developer platformsAutomation and agents
   PaidVisit Inference.ai (official site)
3. 

   Lambda

   GPU cloud for AI with on-demand NVIDIA instances and reserved 1-Click Clusters for training, fine-tuning and inference.

   Developer platformsCoding
   PaidVisit Lambda (official site)
4. 

   Runpod

   Pay-per-second GPU cloud for AI: on-demand Pods, Serverless endpoints, multi-node Clusters and ready-made public model APIs.

   Developer platformsCoding
   PaidVisit Runpod (official site)
5. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)
6. 

   Vast.ai

   GPU cloud marketplace for renting on-demand, interruptible or reserved GPUs with per-second billing.

   Developer platformsAutomation and agents
   PaidVisit Vast.ai (official site)

GPU.ai FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from gpu.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.