Overview
Alibaba Cloud’s full-stack solution for generative AI (GenAI) provides whole-process services for foundation models (FMs) and other AI development tasks. This solution helps you build and optimize FMs, fine-tune them according to your business preferences, and deploy them easily as online services, all on purpose-built AI infrastructure optimized for performance and efficiency. Regardless of the scale and stage of your business, this solution enables you to create new and intelligent customer experiences and drive business transformation with innovations in generative AI.
Disclaimer
Some images displayed in this page are solely for the purpose of demonstrating product functions. All information shown in these images has been generated by AI models and is not verified by Alibaba Cloud. Alibaba Cloud makes no warranties, expressed or implied, as to the authenticity, accuracy and completeness of all such information.
AI Infrastructure Built for Performance
You can perform compute-intensive AI tasks such as FM training and customization on our performance-optimized AI infrastructure, or choose our Cloud-Native AI suite to improve the speed and efficiency of your AI workloads on Kubernetes.
• Unified Hardware and Software Acceleration for AI
1. GPUs for Model Training and Inference
Model Training: gn7 series of ECS instances power large-scale training tasks with high-performance GPUs.
Model Inference: gn6 series of ECS instances provide a cost-effective choice for model inference tasks
2. AI Acceleration
You can leverage GPU Accelerator AIACC to speed up AI training tasks by up to 70% and inference tasks by 2-3 times according to Stanford DAWN Deep Learning Benchmark.
• Platform for AI (PAI): Whole-Process AI Engineering
PAI provides an end-to-end optimization solution to streamline AI engineering including PAI-iTAG for data labeling, PAI-DSW for model building, PAI-DLC for model training, and PAI-EAS for model inference and deployment.
PAI-Lingjun Intelligent Computing Service (Currently available only in China (Ulanqab) and Singapore) provides high-intensity heterogeneous computing services and AI capabilities for large-scale generative AI tasks based on the integrated optimization technology of software and hardware. It also leverages pre-packaged GPUs and Platform for AI (PAI) to provide full-link performance acceleration for AI training and inference tasks in one stop.
Data Preparation
Ready your data for model training with intelligent, customizable, and highly efficient multimodal data labeling services
Model Development
Build foundation models with our one-stop visualized modeling tool - PAI-Designer, or perform interactive development with Notebook in PAI-DSW
Model Training
Train models with PAI-DLC, our one-stop platform for cloud-native deep learning and training compatible with predefined and customized algorithm frameworks
Model Deployment
Deploy your model as an online service or a web app with PAI-EAS, which supports push-button deployment of large-scale complex models
A Wide Selection of Open-Source FMs
You can try out popular open-source models in Alibaba Cloud Model Studio, fine-tune them to your needs, and easily invoke them via purpose-built APIs to deploy and operate agents.
Third-Party Models
GenAI Development on Alibaba Cloud Model Studio
Accelerate model customization and GenAI application development on a one-stop platform that hosts industry-leading AI models such as Qwen-Max
Learn More About Model Studio
Built-In Model Inference and Evaluation Workflows
Speed up model development workflows with comprehensive tools designed to support SFT and LoRA, built-in model compression and inference acceleration, multi-dimensional model evaluation in visualized templates, and one-click model deployment
One-Click RAG Setup with AnalyticDB
Model Studio jointly applies in-depth retrieval optimization with AnalyticDB, which provides retrieval capability of over 10 billion vectors and is compatible with a variety of Alibaba Cloud AI products. Learn more about RAG >
Comprehensive Security Measures
Secure your enterprise data in storage and transmission by completing model and app development in your dedicated Virtual Private Cloud (VPC) network and accessing data with PrivateLink, apply customizable content governance to prompts and content, and combine responsible AI principles with tools for human accountability