Turn your gpu capex into opex

On-Demand clusters of 16-512 NVIDIA GPUs

Self serve. No human in the loop.

Skip all the GPU quotas and sales meetings
Search across hundreds of cloud to find the best and cheapest H100s available.
Multi-node, Multimodal, Multipurpose
Ready to use docker containers with pre-built images to get your AI workloads up to speed.
1-Click Deploy for your H100s
1-click deploy for your selected H100 cluster.
No quotas, hidden fees, or price gouging.
Deploy your GPU Multi Cluster

ArceeAI saved in cloud spending using PrimeIntellect

After evaluating all major cloud providers, ArceeAI chose Prime Intellect Cloud for their AI training and inference needs.
Deploy a H100
After evaluating all major players in the GPU compute space, we frequently choose Prime Intellect Cloud for their high reliability, availability and ability to always guarantee the cheapest market prices.
Mark McQuade
CEO & Co-Founder
Types of models

Train and Fine-Tune
The Largest Open Source AI Models

Multi-node
Search across hundreds of clouds to find the best and cheapest H100s available.
Multimodal
Ready to use docker containers with pre-built images to get your AI workloads up to speed.
Multipurpose
1-click deploy for your selected H100 cluster.
No quotas, hidden fees, or price gouging.
Deploy your GPU Multi Cluster
Stable Diffusion
Llama 3.1 405B
Mistral Large
Flux
Open-Sora
Qwen2
DeepSeek
Grok
Llama
Large language models
Large action models
Transformer models
Diffusion models
Multimodal models
Foundation/World models
limited time offer

Get Instant access to GPU Clusters

Signup up from this page and your account will be granted up to 3-hours of free compute power for your first H100s deployed. Expiring soon.
3h of H100s
4.8
Join 11,000+ Researches
FAQ

Frequently Asked Questions

Can I deploy my own Docker images?

We are actively working on this feature and will update this section once it is available very soon in the next few weeks.

Can I pause/resume instances?

You can pause and resume instances on providers where this feature is supported, allowing you to save the state and continue later without losing your progress, at a much lower cost than keeping the instance running. Current providers that support this feature include Runpod and Tensordock. Please note that the requested GPU resources might not be available when you try to resume the instance, which could lead to wait times.

What is an On-Demand instance?

An On-Demand instance is a non-interruptible virtual machine that you can deploy and terminate at any time, paying only for the compute time you use.

Can my data be recovered once l've terminated my instance?

No, once an instance is terminated, all data stored on it is permanently deleted and cannot be recovered.

How will I be charged for GPU instances?

Each Pod has an hourly cost depending on the provider and GPU type. Your Prime Intellect credits are deducted every minute while the Pod is active. If your credits run out, your Pods will be automatically deleted. We highly recommend setting up our auto-top-up feature in your billing settings to ensure balances are automatically topped up as needed.

How long do instances take to launch?

Instances typically launch within a few minutes, but the exact time may vary depending on the provider. More detailed information on spin-up time is shown on your instance card.