GPU Elastic Compute
GPU Elastic Compute (GEC) provides a GPU-accelerated elastic computing service. You can use the service for scientific computing, AI deep learning, and image rendering. Featuring high stability, efficiency, and scalability, GEC allows you to manage instances in the same way as Kingsoft Cloud Elastic Compute (KEC) instances.
Benefits
Diverse Configurations
GEC comes with different configurations for different types of GPUs, which meets the requirements of various scenarios.
Robust Computing Power
With robust concurrent computing power and high data throughput, GEC significantly improves the performance of large-scale computing, complex AI model-based computing, and video and image processing.
Easy Management
GEC follows the operation and management models of KEC, obviating the need for extra study.
High Security and Efficiency
GEC supports cloud monitoring and instant maintenance. Cloud monitoring enables you to keep track of GPU resource usage anytime. Instant maintenance enables you to isolate resources of users to ensure data security.
High Cost Performance
GEC frees you from cost pressure caused by hardware procurement, operations and maintenance (O&M), and upgrade. GEC supports the Subscription and Pay-By-Daily-Config billing modes. You can select an appropriate billing mode based on your needs.
Elastic Scalability
GEC allows you to flexibly scale in or out resources. You can purchase resources based on your needs. This helps save your operation cost and improve resource utilization.
Features
Quick Creation
You can create GEC instances with a few simple operations and deploy them in minutes.
Web-based Instance Management
Through the web console, you can manage the lifecycle of GEC instances, including creating, querying, renewing, and powering on or off the GEC instances.
Diverse Configurations
GEC comes with different types and various configurations, applying to different business scales in different scenarios.
Image Customization
GEC allows you to create an image and use the image to create instances.
VPC Support
GEC provides support for Virtual Private Cloud (VPC), allowing you to make flexible network planning and use different resources in the VPC easily.
Monitoring Statistics and Alarming
GEC allows you to monitor metrics such as CPU, GPU, disk, and network traffic. You can also configure thresholds and alarms to keep track of business changes.
Product Updates
1
Tesla V100 Adopted
Tesla V100-based high-end GEC is released. This type of instances can boost the performance of training and inference in deep learning by 300%.
2018-06-01
New Features
4
Tesla T4-based vGPU Instance Released
vGN6, the vGPU instance type based on Tesla T4, is released.
2020-01-07
New Features
