Elastic GPU servers

Suitable for film rendering and production, 4K/8K HD live streaming, special effects processing, 3D industrial design, 3D presentation, and engineering design. 

Suitable for scenarios requiring high-precision computing capabilities, such as collision simulations, computational finance, genetic engineering, and weather forecasting. 

Fully meets the computational power requirements in deep learning scenarios. Supports deep learning training and inference, image recognition, image content analysis, audio recognition, and other tasks. 

GPU servers are compatible with multiple display devices and software, such as supporting NVIDIA HRID virtual workstations and being compatible with multiple 4K displays. 

Provides various types of GPU instances, allowing users to choose GPUs with different quantities and configurations according to their needs. For example, options may include instances with 1, 2, 4, or 16 GPUs. 

GPU servers can accelerate graphics and video processing tasks by offloading the compute-intensive parts of the application to the GPU, thus freeing up the CPU to run the remaining program code. 

Applications such as 3D rendering and visualization, virtual reality, video encoding, and remote graphics workstations require substantial parallel processing capability.

Provides multi-layered security and data protection measures, including network security, identity authentication, and data encryption, ensuring the security and reliability of users' data and applications on the cloud platform.