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
OpenAI
Foundation models that exceed benchmark performance across image, video, and text.
Phi
Small language models for building generative AI applications with better latency and lower costs.
Meta
Pre-trained, open language models ranging from 7 billion to 70 billion parameters.
Mistral AI
Accelerate AI innovation and achieve state-of-the-art reasoning performance.
Cohere
A leading large language model for retrieval-augmented generation capabilities.
Hugging Face
Thousands of models spanning categories from text generation to image analysis.
Stability AI
Text-to-image and video generation models including Stable Diffusion and Stable Video Diffusion.
Core42, a G42 company
Leading Arabic language model JAIS accelerates the growth of a vibrant Arabic language AI ecosystem.
Nixtla
Pre-trained, generative AI transformer models for time-series analysis.
AI21
Foundation chat completion models for enterprise that accelerate the use of generative AI for production.
NTT Data
A high-performance, lightweight Japanese and English SLM with fine-tuning for secure hybrid deployment.
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
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