Why Alibaba Cloud
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.
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Ready-to-Use AI Computing Services
Kickstart large-scale FM training and generative AI application development with our purpose-built AI services featuring high performance, scalability, and cost-effectiveness
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A Diverse Selection of Open-Source FMs
Choose FMs for your business from industry-leading open-source models including Alibaba Cloud's Tongyi Qwen, Stable Diffusion, Llama 3, and more from mainstream AI communities
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High-Performance FM Training and Inference
Apply end-to-end performance optimization to accelerate dataset processing, as well as model training and inference, and enhance it with a GPU-based AI acceleration solution
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Business Transformation at the Forefront of AI
Build innovative applications with the power of generative AI to transform customer experience, boost productivity, and stay at the forefront of industry development
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.
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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.
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.
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Data Preparation
Ready your data for model training with intelligent, customizable, and highly efficient multimodal data labeling services
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Model Development
Build foundation models with our one-stop visualized modeling tool - PAI-Designer, or perform interactive development with Notebook in PAI-DSW
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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
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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
Unified Hardware and Software Acceleration for AI
Alibaba Cloud speeds up generative AI development with purpose-selected GPUs, GPU-oriented optimization and acceleration technologies for high-efficiency hardware utilization, and Platform for AI (PAI) optimization features for dataset processing, model training, and model inference tasks.
1. GPUs for Model Training and Inference
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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
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2. AI Acceleration
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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.
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A Wide Selection of Open-Source FMs
You can train and fine-tune popular FMs including Alibaba Cloud’s Qwen series in Platform for AI (PAI) in a few clicks, and easily deploy them as online services with PAI-EAS.
Tongyi Qianwen (Qwen)
Alibaba Cloud provides a series of open-source Tongyi Qianwen models: Qwen, the LLM; Qwen-VL, the large vision and language model; Qwen-Audio, the large audio language model; Qwen-Coder, the coding model; and Qwen-Math, the mathematical model. Qwen models are pre-trained on multilingual data covering various industries and domains, and offer a wide range of capabilities, including multimodal understanding and generation, state-of-the-art image processing, and fully managed APIs to support your innovation in generative AI. Qwen2.5 further improves its overall performance, especially in coding and mathematics, and supports up to 29 languages including English and Chinese.
You can easily fine-tune Qwen models with your enterprise data and deploy them as online services that understand your business.
Llama 3
LLaMA 3 is a powerful open-source LLM with a large set of training data. It focuses on innovation, scalability, and simplicity with several architectural improvements over its predecessor, LLaMA 2. You can access, fine-tune, and deploy LLaMA 3 with Platform for AI (PAI) in a few simple steps.
Stable Diffusion
Stable Diffusion is an open-source model that leverages advanced deep-learning algorithms and techniques to generate visually compelling images based on text descriptions. You can access, fine-tune, and deploy Stable Diffusion with Platform for AI (PAI) in a few simple steps.
ChatGLM
ChatGLM is an open-source LLM that uses supervised fine-tuning (SFT), a self-feedback system, and human feedback reinforcement learning (RLHF) to better align with human preferences. You can access, fine-tune, and deploy ChatGLM with Platform for AI (PAI) in a few simple steps.
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
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 for PostgreSQL
Model Studio jointly applies in-depth retrieval optimization with AnalyticDB for PostgreSQL, which provides retrieval capability of over 10 billion vectors and is compatible with a variety of Alibaba Cloud AI products. Learn more about RAG >
Simplified GenAI Application Development
Accelerate generative AI application development with pre-built workflows on visualized canvas, highly customizable orchestration, template-based prompt engineering, and a rich set of APIs for easy integration with your business system
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
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Innovative Applications Based on Generative AI
You can build generative AI applications to boost productivity, enable innovative content creation, or fulfill your other business needs, without concerns about the underlying architecture, like Tongyi Wanxiang.
Learn More About Building GenAI Applications on Alibaba Cloud
Prompt-Based Text Generation
Prompt-Based Image Generation
Similar Image Generation
Image Style Transfer
Clothes Virtual Try-On
Sketch-Based Image Generation
Tongyi Wangxiang Generating Images of Clothes Virtual Try-On Based on Image Input
Tongyi Wangxiang Generating Images of Clothes Virtual Try-On Based on Image Input
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Customer Success Stories
"We are excited to be working with the team at Alibaba Cloud. JEN is at the forefront of AI generative music and having access to their advanced on-demand training infrastructure and global partner network enables us to move fast and stay ahead in this rapidly evolving market."
Aaron McDonald, Founder and CEO, Futureverse
Futureverse is a New Zealand-based AI technology unicorn. Futureverse is working on JEN-1, their text-to-music generator that needs robust and reliable AI training infrastructure for the foundation model training. Alibaba Cloud's AI infrastructure achieved a high-performance score of 96% from a series of benchmark Proof of Concepts (PoCs) involving multiple cloud vendors. Alibaba Cloud also offers streamlined operational management based on integrated and standardized services for computing, storage, and networking, as well as full lifecycle capabilities of AI engineering, making it an excellent choice for foundation model training tasks like JEN-1.
"Working closely with Alibaba Cloud, we managed to harness the benefits of the Qwen LLM and Dedicated Model Studio and vastly improved the efficiency of generating adverse event reports from huge amounts of medical literature. We’re proud that we have pioneered this innovation in the industry. We expect to explore more AI-based innovations with Alibaba Cloud."
Xin Zhong, IT head of AstraZeneca China
AstraZeneca is a global biopharmaceutical company focused on science-led innovation. Working with Alibaba Cloud, AstraZeneca's team has built the industry’s first adverse event summary system, which makes full use of the AI engineering capabilities provided by Alibaba Cloud's Dedicated Model Studio and Tongyi Qwen LLM. As the system can quickly comb through vast amounts of medical literature and formulate output documents according to the requirements, the efficiency in creating adverse event reports has increased by 300%, and the accuracy has increased from 90% to 95%.
Alibaba Cloud Keeps Driving Innovation in Generative AI
