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Container Service
Based on the massive computing resources of the supercomputing internet, high-performance scheduling engines, and rich image and application ecosystems, the container service provides users with cloud-native development and implementation methods for various application scenarios.
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Jupyter
Open source interactive environment supporting multi-language programming.
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Lightweight and extensible code editor with rich plugins.
Rstudio
Efficient integrated development environment for R language.
Task-based submission/Distributed submission
Multiple task submission methods, flexible and convenient, with efficient resource utilization.
Computing Power Recommendation
Core Advantages
Scenarios
Computing Power Recommendation
Massive computing power available immediately
Core Advantages
Easy to use, safe and efficient
Efficient deployment
Support rapid cloning and uploading of images, massive containers start in seconds, improving container deployment efficiency; container services can quickly build, test and package and integrate submitted business code.
Clear billing
Support custom container specifications, calculate container fees in units of core*hour and card*hour, pay according to actual usage, and greatly reduce users' IT investment costs.
Safe and reliable
Provides container isolation to ensure resource/data separation; features auto-backup, fault recovery, and high availability to minimize business interruption risks and ensure continuity.
Rich image ecosystem
Supports direct use of platform/community images covering common apps & services, reducing dev/deployment time costs. Also enables image sharing/reuse for technical collaboration.
Scenarios
Rich application scenarios to meet business needs in various fields
Supercomputing Network platform, welcome you
Hand in hand to provide better application solutions for users