We earn commission when you buy through affiliate links.
This does not influence our reviews or recommendations.Learn more.
Each instance supports 8 GPUs, and you only need to pay for what you use with per-second billing.
RunPod
RunPod is an all-in-one cloud that lets engineers easily develop, train, and scale AI models.
With RunPod, you might spin up GPU pods in seconds and start deploying them.
Its 50+ templates, such as PyTorch, Docker, and others, give you ready-to-use machines.
It also supports custom containersall through an easy-to-use CLI.
RunPods key features include:
RunPod Pricing
RunPod offers a pay-per-use model.
To use RunPods cloud GPUs, you must add credit or automate payments using a credit card.
Furthermore, it offers a spending limit.
you’re gonna wanna register an account and input your requirements to know the exact cost.
Under the hood, Hyperstack utilizes the latest NVIDIA hardware.
It is also cheaper compared to public cloud providers such as AWS and Google Cloud.
The platform delivers excellent speed and performance through its virtual machines, which are optimized for high-intensity computing tasks.
This scalability is a direct result of Hyperstacks simplicity and ease of use.
The platform operates on 100% renewable energy while maintaining top-tier performance.
They have data centers in North America and Europe.
Hyperstack Pricing
Hyperstack pricing depends on your GPU model choice.
Seeweb
Seeweb helps you manage AI and machine learning projects with its arsenal of cloud GPU services.
Based in Italy, Seeweb has data centers across the European Union for GDPR-compliant data privacy and minimum latency.
Likewise, the platform integrates with Kubernetes for streamlined container orchestration to handle varying workloads effectively.
Seeweb Pricing
Seeweb offers the following pricing:
5.
For an exact quote, contact their sales.
Latitude.sh
Latitude.sh is specifically designed to supercharge AI and machine learning workloads.
Latitude.shs API-first approach simplifies automation, making it effortless to integrate with tools like Terraform.
Genesis Cloud
Genesis Cloud is a best-in-class AI cloud provider that is affordable, highly reliable, and secure.
Its accelerated GPU cloud is also cheap, with prices as low as 80% compared to legacy clouds.
Their Genesis Enterprise AI Cloud offers businesses an end-to-end machine learning platform and advanced data management.
It is also easy to use with straightforward interference for onboarding.
With Paperspace, it’s possible for you to build and run AI/ML models using NVIDIA H100 GPUs.
Paperspace key features include the following:
Paperspace Pricing
Paperspace offers Platform and Compute plans.
The Platform plans are listed below.
OVHcloud
OVHcloud provides cloud servers that are designed to process massive parallel workloads.
They help accelerate graphic computing and artificial intelligence.
OVHcloud partners with NVIDIA to offer the best GPU-accelerated platform for high-performance computing, AI, and deep learning.
The platform provides a complete catalog for easy deployment and management of GPU-accelerated containers.
As for certifications, OVHclouds services and infrastructures are ISO/IEC 27017, 27001, 27701, and 27018 certified.
To get a tailored quote, youll have to contact their sales team with your requirements.
IBM Cloud
IBM Cloud offers flexibility, power, and GPU options powered by NVIDIA.
The platform uses NVIDIA GPUs to carry out tasks, including traditional AI, HPC, and Generative AI.
IBM Cloud Pricing
IBM Cloud offers a handy tool for calculating pricing.
It offers a complete Lambda Stack with all the necessary AI software.
Furthermore, it comes with one-click Jupyter access from the surfing app.
Lambda GPUs key features include:
Lambda GPU Pricing
Lambda GPU offers on-demand and reserved GPUs.
For reserved GPUs, you gotta contact their sales.
TensorDock
TensorDock is an ideal pick for companies looking for affordable GPU servers.
It offers on-demand GPU resources at low prices and the option to create the server in 30 seconds.
Furthermore, TensorDock supports KVM virtualization with complete root access.
It also supports Windows 10, multithreading, and optimized end-to-end VM deployment speed.
Its pricing ranges from $0.08/hr (GTX 1070) to $2.42/hr (H100 SXM5).
Ori
Ori is an AI-native GPU cloud provider that offers cost-effective, customizable, and easy-to-use services.
It offers a range of services, including bare metal and serverless Kubernetes.
Ori provides access to popular NVIDIA GPU architectures, including NVIDIA B100, B200, and GB200.
The platform has also claimed to bring NVIDIA Blackwell architecture to its ranks in the near future.
It only offers on-demand plans.
Nebius also provides access to 24/7 expert support.
What are the Benefits of Cloud GPU?
There are 5 main benefits of using cloud GPUs, as shown below.
Whats next?
After sorting out GPU platforms, you’re free to further read the following guides.
Google Colab: What, How, and Features
What is NotebookLM
Top AI Platforms
