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 Qianwen (Qwen), Stable Diffusion, Llama 2, 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, like Futureverse did
2023 Alibaba Cloud Global Summit: Powering Up Future Business with Generative AI
At the 2023 Alibaba Cloud Global Summit, Mr. Dongliang Guo, VP of Product and Solution, discussed the significance of the cloud computing industry when driving AI transformation, introduced Alibaba Cloud’s latest innovations (including Cloud-Native AI suite 2.0 and the 8th Generation of ECS), and demonstrated the exciting capabilities of multi-modality content generation jointly supported by Alibaba Cloud and key partners.
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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; and Qwen-Audio, the large audio language 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.
You can easily fine-tune Qwen models with your enterprise data and deploy them as online services that understand your business.
Llama 2
Llama 2 is an open-source LLM with a larger set of training data and a longer context length than its predecessor, Llama 1, making it more versatile and accurate in generating natural language at scale. You can access, fine-tune, and deploy Llama 2 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 Stable Diffusion with Platform for AI (PAI) in a few simple steps.
Ready your data for model training with intelligent, customizable, and highly efficient multimodal data labeling services
Build foundation models with our one-stop visualized modeling tool - PAI-Designer, or perform interactive development with Notebook in PAI-DSW
Train models with PAI-DLC, our one-stop platform for cloud-native deep learning and training compatible with predefined and customized algorithm frameworks.
Deploy your model as an online service or a web app with PAI-EAS, which supports push-button deployment of large-scale complex models
- High-performance Remote Direct Memory Access (RDMA) networks greatly accelerate AI training.
- Cloud Paralleled File System (CPFS) provides efficient and reliable storage services for AI training.
- Our distributed training acceleration engine accelerates dataset management, cloud computing, algorithms, scheduling, and cloud resources.
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 NVIDIA 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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Learn More About Generative AI on Alibaba Cloud
Learn More About Generative AI on Alibaba Cloud
Alibaba Cloud Keeps Driving Innovation in Generative AI