For building the best GPU offer, we have chosen NVIDIA Quadro RTX A6000, A30, L4, A100 graphic processors, that can offer you maximum power with a competitive price."
Projected for tackling complex calculations and modelling, our ready-to-use service, with easy driver installation and 1Gbps bandwidth, is also very flexible and offers a billing model based on the real usage.
Developers, data scientists, researchers, companies, artists and universities can take advantage of our technology and fuse traditional simulations with artificial intelligence, machine learning, and deep learning.
Try now our Cloud Server GPU instances or ask us for an analysis of your AI projects requirements!
A GPU cloud server is a computer instance that offers high computational power. Without requiring that GPUs are deployed on-premise, in GPU Computing the graphic processing units are integrated in the cloud, enabling complex calculations and projects with data-intensive applications.
In all cases where a traditional approach, based on multi-core CPUs, cannot support machine learning, scientific computing and 3D visualization, Seeweb high-performance GPU can be beneficial in machine learning, scientific computing, and 3D visualization.
In particular, for your activities of AI inference and mainstream calculation, thanks to the Tensor Cores of the NVIDIA Ampere and Multi-Instance GPU infrastructure you will be able to accelerate multiple and parallel workloads, such as the AI inference on a large scale and the HPC applications. Fast memory bandwidth and low energy consumption will contribute to creating an elastic data center, with stable performances.
Activating our GPU servers ready to be used, you can launch your innovative projects reducing latency and integrating technological advantages with a full GDPR compliance: all data is processed in Europe, in our ISO 14001, sustainable Data Centers. Take advantage of GPU instances that guarantee you high power and optimization of the environmental costs.
The technological stack of our GPU cloud instances has been designed for immediate use. You will not need to invest time in installing drivers and will be able to add space thanks to the complete integration of our services with all the other cloud storage solutions we provide, such as Cloud ScaleOut Filer.
Furthermore, above all in case you need a particular flexibility in using GPU systems or multi-GPU architectures, our Terraform support will give you the possibility of deploying and managing your infrastructure through the IaC method.
Our GPU servers' billing is based on the real usage. The network traffic or the API calls are free of charge. Once you have chosen and activated the best GPU plan for your AI projects through the cloud control panel, you will be billed only for the hours of use. The billing will start after the product activation, with no advance payment. When you need to stop the project, you can go to your control panel, select the service you wish to cancel and click on the request cancellation button, with no further communications.