Based on cloud-native technologies, AI Cloud Lab provides AI developers with a professional and flexible development environment and components, and links AI development process nodes: with AI Cloud Lab, you can mount cloud storages to get data and model information, call computing power of different scales in the compute pool for code debugging, model training, iteration, etc., and link other AI services to obtain rich services such as data management and model visualization. With professional R&D tools, flexible cloud computing resources, smooth development experience, stable access services, and open configuration modes, AI Cloud Lab helps AI developers create AI applications more efficiently and conveniently, and facilitates the intelligent upgrading of the industry.
- Optimize mainstream AI R&D scenarios in depth
- Preset more professional deep learning algorithms and more pre-trained models
- Provide a deep learning framework with better training performance
- Need no building or configuration of complicated development environment
- Online, local, and multi-node diverse connection modes
- Activation/deactivation at any time to realize flexible release of resources
- Open the development environment with a small amount of resources to achieve code debugging
- Link AI computing pools on demand to initiate large-scale distributed training
- Connect other rich AI developer tools inside SenseCore
- Support users to enable external common Web services
- Support user-defined installation of other commonly used plug-ins
- Optimize mainstream AI R&D scenarios in depth - Preset more professional deep learning algorithms and more pre-trained models - Provide a deep learning framework with better training performance
- Need no building or configuration of complicated development environment - Online, local, and multi-node diverse connection modes - Activation/deactivation at any time to realize flexible release of resources
- Open the development environment with a small amount of resources to achieve code debugging - Link AI computing pools on demand to initiate large-scale distributed training
- Connect other rich AI developer tools inside SenseCore - Support users to enable external common Web services - Support user-defined installation of other commonly used plug-ins
According to different business needs and task needs of AI researchers, flexibly configure cloud development environments with different CPU, GPU, and disk memory specifications；
Based on SenseTime's years of experience, preset mainstream and efficient algorithms, training frameworks, and AI component packages in the AI R&D process, eliminating a lot of cumbersome installation work and enabling instant use；
Support multiple actions on the created AI Cloud Lab, realize enabling/disabling at any time, and keep the service status of the development environment under control；
Quickly access the native IDE functions of the cloud through the browser, compile and debug codes, and build models without the need of constructing cumbersome infrastructures and environments；
Realize remote access via a variety of local clients, such as vs code and juypter lab, and simultaneously enjoy local stable development experience and rich resources in the cloud；
Use a small amount of resources to complete code debugging in the AI Cloud Lab, link the AI Compute Pool, initiate large-scale distributed training tasks, and take advantage of extremely elastic computing power.
Containerized environment construction, supporting multiple frameworks, systems, and components.
Enhanced container isolation, ensuring that the development environment runs independently and securely.
Cloud repository service for quickly building multi-purpose images.
Cloud-native IDE for comprehensive management of files, software packages, environments, etc.
Dynamic port configuration, supporting multiple remote access and service access modes.
Containerized environment construction, supporting multiple frameworks, systems, and components.
Enhanced container isolation, ensuring that the development environment runs independently and securely.
Cloud repository service for quickly building multi-purpose images.
Cloud-native IDE for comprehensive management of files, software packages, environments, etc.
Dynamic port configuration, supporting multiple remote access and service access modes.
Help you achieve new breakthroughs in business with professional AI solutions and advanced AI products
