AI Computing Cloud Service Documentation
Welcome to the AI Computing Cloud Service Product Documentation.
What is AI Computing Cloud Service?
AI Computing Cloud Service provides users with robust resources and services tailored for artificial intelligence scenarios. Key offerings include:
- GPU Hosts: High-performance GPU-based virtual machines for intensive computational tasks.
- AI Training Clusters: Scalable clusters optimized for AI model training.
- AI Inference Clusters: Dedicated resources for real-time AI inference workloads.
- Parallel File Storage: High-throughput, low-latency storage solutions ideal for large-scale AI datasets.
- Image Warehouses: Centralized repositories for managing and versioning AI-related datasets and containerized applications.
This service ensures tenant isolation, enabling secure and independent environments for every user. It provides a safe, scalable, and reliable platform for developing, training, and deploying AI models.
Key Features
Scalable Infrastructure
- On-demand scaling of compute and storage resources to match your AI workload requirements.
- Elastic capacity management ensures cost-effective use of resources.
Optimized for AI
- Pre-configured environments with popular AI frameworks like TensorFlow, PyTorch, and scikit-learn.
- Support for custom environment configurations and dependency management.
Security and Compliance
- End-to-end encryption for data at rest and in transit.
- Compliance with industry standards and regulations for data protection.
Integrated Ecosystem
- Seamless integration with other cloud services like data pipelines, databases, and monitoring tools.
- APIs and SDKs for streamlined development workflows.