What model deployment should I use and why in Azure AI Studio? |
Wondering which model deployment to use for your AI projects?
🔥Access models from leading companies like Mistral, Meta, Microsoft, and more. Whether you choose serverless APIs or managed compute, Azure provides the tools and security your organization needs.
⭐️Key Points:
✅ Serverless APIs: Deploy your models without worrying about infrastructure. Pay-as-you-go billing makes it cost-effective and easy to manage, ensuring enterprise security and compliance. Ideal for those who want simplicity and scalability.
✅ Managed Compute: Host your models on your own subscription with managed infrastructure, virtual machines, and capacity management. Perfect for those needing more control and customization.
🚀 Do you have an idea? Are you a startup?
Join Microsoft's Founders Hub - https://aka.ms/ai-journey - and get free OpenAI credits, up to $150k towards Azure's AI tools (access to leading AI models through Azure, including OpenAI GPT-4, Llama 2 from Meta, and more), unlimited 1:1 meetings with experts, 30+ additional free and discounted tools, tech, and services from Microsoft and our partners including M365, GitHub, LinkedIn, and more.
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