Rent GPUs, build and train AI/ML models
Choose GPUs and system resources. Select software You use: Docker, Jupyter, Tensorflow, pyTorch, ubuntu or anything else. Our platform ensures access to high-performance AI GPU hosting.
RegisterHow to Rent GPU Instances
Renting GPU instances on SimplePod.ai is quick and straightforward. Follow this video to get started with your GPU rental
Pricing
We pride ourselves on offering competitive pricing for our GPU cloud services. Whether you are working on a small project or scaling up a massive AI workload, we have options to suit your budget:
GPU models
RTX 4090
24 GB
from 0.23$/hour
RTX 3060
8 GB
from 0.05$/hour
A4000
16 GB
coming soon...
H100
80 GB
coming soon...
Features
Our platform is designed to make renting GPU servers as seamless and efficient as possible. Here is what you will get when you choose SimplePod.ai:
Browse available GPU servers
Our clean and intuitive interface allows you to browse through available GPUs quickly. Use advanced filters to select:
- Desired GPU model.
- Memory size.
- System performance specifications.
- Pricing options.
Pre-Configured System Software for AI and Development
Get started quickly by choosing from a selection of pre-configured system software, ideal for various AI and development tasks:
- TensorFlow: Ideal for training machine learning models.
- PyTorch: A go-to tool for deep learning.
- Stable-Diffusion: Ideal for generating high-quality images from text descriptions.
- LLama: A powerful language model designed for natural language understanding and generation.
- Ollama: Run large language models locally on your machine.
- Koboldcpp: Efficiently operate AI language models using minimal system resources.
Additional Tools and Features
Enhance your workflow with additional software options:
- Ubuntu: A reliable and stable operating system.
- Jupyter Notebook: Perfect for interactive coding and data visualization.
- Text-to-Speech Tools: Convert written text into spoken words with ease.
- A diverse range of other applications built on Docker, providing flexibility and adaptability.
Monitor and manage your GPU cloud servers
Our platform provides all the tools you need to stay in control of your GPU cloud environment:
- Execute batch commands directly through the interface.
- Open integrated tabs for detailed instance monitoring.
- Check real-time system usage, including memory and processing power, to optimize your resources.
Manage your server
Control your rented GPU server effortlessly:
- Access the web console for detailed configuration and management.
- Stop or restart your instance anytime.
- Keep track of active servers and resource consumption via the dashboard.
Jupyter Notebook for Development
For developers and data scientists, Jupyter Notebook is fully integrated into our platform. Here is how it simplifies your work:
- Run and test machine learning code interactively.
- Visualize data in real-time while working in your GPU cloud environment.
- Combine code, text, and visuals in a single, user-friendly workspace.
New features coming soon
We are working hard on new features! Expect the most requested ones soon:
- Fast persistent storage that can be mounted to instance
- Ability to stop instance and not pay for GPUs
- Access to persistent storage even when an instance is stopped
- Historical graphical statistics of your usage - GPU utilization, VRAM, System Memory, CPU, Disk
Start Your Journey Today
SimplePod makes GPU rentals easy. Whatever your needs, we provide the tools to harness cloud AI. Choose your GPU servers, set up your software, and launch projects in minutes. Join us today and discover how effortless AI in cloud can be.