What is Chenjian Cloud
Chenjian Cloud is an AI computing power platform focused on providing efficient and stable GPU computing power rental, simplifying access to computing power and accelerating intelligent progress. By integrating high-end GPU resources such as A100, 4090, 3090 and other graphics cards, it provides users with highly cost-effective computing power services, supports multiple scenarios such as deep learning, large model training, and scientific computing, and is ready to use out of the box. Flexibly choose cloud hosts, cloud containers, or physical machines, and configure GPU, CPU, memory, and storage resources according to needs. The platform supports hourly, daily, weekly, and monthly billing, with discounts for weekly and monthly billing. Its advantages lie in agile deployment, professional empowerment, stable and reliable infrastructure, and intelligent-driven future exploration capabilities.
Main features of Chenjian Cloud
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Efficient GPU computing power rental: Provides high-performance GPU resources such as A100, 4090, 3090 to meet the needs of deep learning, large model training, scientific computing, and more, with support for on-demand configuration and flexible billing.
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Ready-to-use computing environment: Pre-installed common environments for deep learning, large language models, scientific computing, and more, so users can quickly start projects without additional configuration.
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Flexible resource selection: Users can choose cloud hosts, cloud containers, or physical machines, and configure GPU, CPU, memory, and storage specifications according to their own needs.
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Elastic billing and resource management: Supports hourly, daily, weekly, and monthly billing, with discounts for weekly and monthly billing, while also providing elastic scheduling to automatically adjust resources according to business needs.
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Fully managed operations and support: Provides 7×24 expert support, so users do not need to worry about underlying hardware operations and maintenance and can focus on core business and innovation.
How to use Chenjian Cloud
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Register and log in on the official website: Visit Chenjian Cloud's official website www.mornai.cn , register and log in to your account.
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Select computing power resources: Go to the 'Computing Power Market' and choose 'Cloud Host', 'Cloud Container', or 'Physical Machine' according to your needs.
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Configure system image: Select a system image that supports environments such as deep learning, large language models, and scientific computing.
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Customize hardware specifications: Select the GPU and quantity, and configure specifications such as CPU, memory, and disk storage.
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Choose billing method: Supports hourly, daily, weekly, and monthly billing, with discounts for weekly and monthly billing.
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Create and operate an instance: After creating an instance, view the instance information in the 'Console' and log in to the system with one click to operate it.
Product advantages of Chenjian Cloud
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Agile deployment: Second-level scheduling of global high-end GPU resources, quickly activating AI projects, with on-demand scaling and flexible billing to precisely match fluctuating research needs.
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Professional empowerment: Provides a secure and compliant computing power foundation for academic research, equipped with professional mentors for 1-on-1 hands-on guidance to accelerate model tuning and algorithmic breakthroughs.
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Stable and reliable: Whole-machine rental options meet exclusivity and high-performance needs, ensuring continuous and stable platform operation through professional dual-line IDC data centers, with strict downtime monitoring to ensure business continuity.
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High cost-effectiveness: Provides highly competitive GPU pricing, only 10%-30% of traditional public clouds, and idle resources can join the computing power monetization program to maximize cost efficiency.
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Elastic Computing Service: Through Elastic Computing as a Service (CaaS), users can focus on core innovation, free from the burden of infrastructure, and achieve intelligent leaps at lower cost.
Chenjian Cloud Application Scenarios
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AI Startups: Obtain high-performance GPU computing power at low cost, quickly launch model training and product iteration, without bearing high hardware procurement costs.
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Universities and Research Institutions: Meet the characteristics of scientific research projects of "on-demand use and high fluctuation", provide a secure and compliant computing foundation, and support academic breakthroughs and model tuning.
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Large Enterprise R&D Teams: Through elastic scheduling and whole-machine leasing, meet the needs of large-scale model training, complex rendering, etc., while reducing idle costs.
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Individual Developers / Designers: With the help of low-cost graphics card resources such as RTX 3090/4090, complete tasks such as lightweight model inference and graphic rendering, lowering the threshold for individual creation.
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Deep Learning and Large Model Training: Provide powerful GPU support for deep learning projects, accelerating model training and algorithm optimization.
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Scientific Computing and Complex Simulation: Support scientific computing and complex simulation tasks, such as physical simulation, bioinformatics, etc., improving computational efficiency.
