Your Go-to Cloud GPU Provider

82% more affordable than hyperscalers (Microsoft, Google, and AWS).


Take the guesswork out of buying GPUs with our new proprietary chatbot.

AI innovation

Why choose


We have access to over 15+ different NVIDIA GPU SKUs and the newest releases before our competitors.

Data Centers around the world is a leading GPU cloud provider with data centers distributed globally, ensuring low-latency access to computing resources from anywhere in the world. This is crucial for applications requiring real-time processing or collaboration across different geographic locations.

82% Cheaper offers the most competitive pricing on the market and is 82% cheaper than hyperscalers (Microsoft, Google, and AWS).

In stock

Our Current Fleet

Gaudi 2
A100 40GB SXM
A100 40GB PCle
A100 80GB SXM
A100 80GB PCle
RTX A4000
RTX A5000
RTX A6000
A40 PCle
A30 PCle
A10 PCle
RTX 5000 ADA
RTX 6000 ADA

Benefits of training on a GPU cloud:

Accelerated Training Speed:

GPU clouds facilitate rapid experimentation and iteration during the model development process. With quick access to powerful GPUs, you can experiment with different model architectures, hyperparameters, and training techniques, accelerating the discovery of optimal configurations for your AI model.


GPU cloud services offer scalability, allowing you to easily scale up or down based on the size and complexity of your dataset or model. This flexibility is particularly valuable when dealing with large datasets or when experimenting with different model architectures, as you can allocate resources according to your specific requirements.

Model Development, Not Infrastructure Management:

By utilizing a GPU cloud, you can offload the responsibility of managing and maintaining the underlying infrastructure to This allows data scientists and developers to concentrate on model development, experimentation, and optimization without the distractions of hardware management.

Access to Specialized GPU Hardware:

GPU cloud providers often offer access to the latest and most powerful GPU hardware, including specialized GPUs designed for machine learning workloads. This ensures that your AI model benefits from state-of-the-art hardware capabilities, ultimately improving performance and efficiency.