A Year of Rapid Growth and Innovation: Azure AI Model Catalog

From Ignite 2023 to Today: Unmatched Growth
Between January and October 2024, the Model Catalog expanded to include over 50 new MaaS models from leading partners like Cohere, Mistral, AI21, G42, Phi, Meta, and Nixtla. The addition of 250+ open-source models on managed compute and the introduction of models on GitHub has further strengthened its position as a premier AI resource. Now, as we head into Ignite 2024, the catalog boasts over 1,800 models, offering unmatched variety, flexible deployment options, and seamless experimentation through the Azure AI Model Inference API.

Bria: Redefining Responsible AI Content Generation

Bria’s inclusion in the Azure AI Model Catalog ushers in a new era of text-to-image generation, built on 100% licensed data to ensure ethical and high-quality outputs. With photorealistic capabilities and inference times under a second, Bria empowers developers to build innovative applications without worrying about copyright concerns or bias. Seamlessly integrating with Azure’s developer tools, Bria accelerates content creation for marketing, e-commerce, and other industries, delivering responsible AI at scale.

NTT DATA: Efficiency and Customization with Tsuzumi

NTT DATA’s Tsuzumi model stands out for its cost-efficient, bilingual capabilities in Japanese and English. Designed to reduce environmental and financial burdens, Tsuzumi leverages industry adapters for rapid tuning, making it adaptable to diverse applications. Initially launched in Japan, Tsuzumi exemplifies how AI can scale globally while addressing sustainability challenges and delivering business-specific solutions.

Industry Models: Addressing Real-World Challenges

Azure AI’s industry-focused models are solving critical challenges across sectors:

• Bayer: Empowering agronomists with crop protection insights for sustainable farming.
• Paige: Advancing disease diagnosis with cutting-edge genomic and radiology AI.
• Rockwell Automation: Streamlining bakery production with AI troubleshooting tools.
• Sight Machine: Optimizing factory data for better supply chain integration.

These specialized models highlight how AI can transform industries by delivering actionable insights and boosting efficiency.

Azure AI Model Inference API: Simplified AI Development

The Azure AI Model Inference API empowers developers with a common interface for testing and comparing models. Seamless integration with tools like GitHub and Visual Studio Code ensures flexibility and ease of use. Backed by secure and scalable AI operations, the API enables enterprises to build responsibly while meeting dynamic demands.

Azure AI Model Catalog continues to redefine innovation by providing diverse AI models and unparalleled flexibility for enterprise use cases. From content creation to industry-specific solutions, it’s the ultimate toolkit for driving business transformation. Dive into the Azure AI Model Catalog today and experience the future of AI innovation.