OVERVIEW
Speed innovation with generative AI
- Innovate faster using foundation models packed for out-of-the-box-use and shared computer resources.
- Easily integrate AI models into your applications without having to provision or manage infrastructure.
- Analyze model metrics with standard datasets and find the right models to meet your needs.
FEATURES
Discover, evaluate, fine-tune, and deploy models
Streamline the journey from model selection to deployment.
Choose the right model
Find the best foundation model for your task and domain without searching or downloading from multiple sources.
Test model accuracy
Test model accuracy using your own data and eliminate the need to write code or set up infrastructure.
Customize to your data
Overcome the challenges of large-scale model training and easily customize models to your specific needs.
Scale to production
Seamlessly integrate models into your applications and benefit from scalable, reliable inferencing endpoints.
MODELS
Choose from frontier and open models
Security
Built-in security and compliance
Microsoft has committed to investing $20 billion in cybersecurity over five years.
We employ more than 8,500 security and threat intelligence experts across 77 countries.
Azure has one of the largest compliance certification portfolios in the industry.
BENEFITS
Accelerate AI innovation
FAQ
Frequently asked questions
- The model catalog in AI Studio is a hub for discovering foundation models. The catalog includes some of the most popular large language and vision foundation models curated by Microsoft, OpenAI, Hugging Face, Meta, Mistral AI, Cohere, Deci, Stability AI, Nixtla, and NVIDIA. These models are packaged for out-of-the-box use and are optimized for use in Azure AI Studio.
- MaaS is a new offering from Microsoft that allows developers to access and use a variety of open-source models hosted on Azure without having to provision GPUs or manage back-end operations. MaaS offers inference APIs and hosted fine-tuning for models such as Meta Llama2, Meta Llama 3, Mistral Large, and others.
- MaaS charges are based on the number of tokens used for inference and the amount of data used for fine-tuning. The pricing varies depending on the model and the region. To see the price for individual models, search for the model in Azure Marketplace.
- MaaS is available in both Azure AI Studio or Azure Machine Learning.
- Today, we have Meta’s Llama 2 and Llama 3 offerings, Mistral AI’s Mistral Large, Cohere models, Core42 JAIS, and Nixtla models.
Next Steps
Choose the Azure account that’s right for you
Pay as you go or try Azure free for up to 30 days.
Azure solutions
Azure cloud solutions
Solve your business problems with proven combinations of Azure cloud services, as well as sample architectures and documentation.
Business Solution Hub
Find the right Microsoft Cloud solution
Browse the Microsoft Business Solutions Hub to find the products and solutions that can help your organization reach its goals.