GPU Cloud Computing (GPU) is a computing service based on GPU applications, with real-time and high-speed parallel computing and floating-point computing capabilities, generally suitable for 3D graphics applications, video decoding, deep learning, scientific computing and other application scenarios.
Generally, GPU cloud server vendors provide a consistent management method with standard cloud server rental, which can effectively relieve the computing pressure of users and improve the computing processing efficiency and competitiveness of products.
Applicable scenarios of GPU ECS
Suitable for deep learning training and inference, image recognition, speech recognition, etc.; Computational Finance, Seismic Analysis, Molecular Modeling, Genomics, Computational Fluid Dynamics, etc.; HD video transcoding, security video surveillance, large-scale video conferencing, etc.; 3D design and rendering, AV animation, engineering modeling and simulation (CAD/CAE), medical imaging, game testing, etc.
The performance of the GPU ECS
GPU cloud host breaks through traditional GPUs, can play the ultimate performance, has high parallelism, high throughput, low latency and other characteristics, in scientific computing performance, performance is dozens of times higher than traditional architecture. Users do not need to purchase and prepare hardware resources in advance, and can purchase them at one time, eliminating the additional costs caused by hardware updates, which can effectively reduce the investment in infrastructure construction.
