Virtual machines are equipped with NVIDIA Tesla A5000 graphics cards. These cards function as dedicated PCI devices within a virtual machine, enabling full utilization of all card resources.
The main difference between standard cloud servers and GPU-powered dedicated servers is the presence of GPUs or GPU accelerators.
In cloud computing, GPUs are integrated into cloud servers to provide enhanced computational power for various applications. They are particularly effective at handling tasks that can be broken down into many smaller, parallel operations, such as graphical design tasks, scientific research computing, and machine learning.
Rental of a cloud-based GPU server is ideal for computationally demanding tasks:
— Various machine learning tasks, including deep learning, neural networks, speech recognition, and big data processing.
— AI training.
— Graphics work: rendering, 3D modeling, working with various graphical models and other resource-intensive tasks.
— Complex data analysis.
— High-performance computing (HPC).
— Scientific modeling and minimizing CUDA computation time.
— Rapid project deployment, including virtual desktop infrastructure (VDI) setup.
Reach out to our technical support team. Make a specific request to [email protected] or create a ticket in the control panel. We will help you select a server with suitable disk and memory capacity, and we will respond within one business day.
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