Install deep learning environment with a click of button, making it easier and less time-consuming for customers to use GPU service. High-performance computing can make computing more efficient where one single server can replace hundreds of generic CPU servers to process traditional HPC and deep learning.
GPU cloud service can allocate resources more flexibly based on ECS (elastic cloud service). It can maximize efficiency of using GPU by allocating resources on demand, enabling users to finish more computing tasks.
GPU service based on the latest GPU architecture of Nvidia. Eight units of Tesla V100 accelerators connect with each other at a speed of 300 GB/s to maximize the performance of each server.
Hyperscale computing company have already adopted AI, but faced with the challenge aroused out of the explosive data volume. In the case where each user only spends 3 minutes using its voice recognition service, even the largest computing company in the world needs to double the capacity of its data center to serve the demands. Elastic GPU service with noticeably higher throughput and efficiency can help companies lower IT cost and expand AI service.
High-performance computing is the foundation of modern science. From weather forecast to creating new drugs and discovering new energy, researchers are using large-scale computing systems to simulate and forecast the world we live in. AI enables researchers to analyze huge amount of data and acquire insights rapidly when the simulation cannot fully predict the real world. In this sense, it has helped to extend the range of traditional high-performance computing. Via the combination of NVIDIA CUDA® and Tensor cores under the same architecture, one single GPU Cloud Server equipped with Tesla V100 GPU can replace hundreds of servers only equipped with generic CPU to process traditional high-performance computing and the workload of AI.
Create GPU Cloud Server with a click of button to enable customers with fast access to super computing power. It can help customers to install DL environment with a click of button, which is less time-consuming, more convenient and efficient and can bring you with high TCO benefit.
GPU dynamically allocates resources based on demands, maximizing the efficiency of using GPU to help you finish more computing tasks.
Pass-through GPU, exclusive for users, can bring out the best performance. The peak computing power of a single GPU exceeds 15.7TFLOPS single floating-point computing or 7.8TFLOPS double floating-point computing.
Segregate different users’ resources to guarantee data security. Have real time monitoring on sub-net and live traffic via security group and rules.
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¥4,500/month
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¥5,600/month
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¥9,600/month
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¥12,500/month
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¥18,000/month
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¥23,000/month
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