Build and run your AI apps and agents at scale with Azure. Orchestrate multi-agent apps and high-scale inference solutions using open-source and proprietary models, no infrastructure management needed. With Azure, connect frameworks like Semantic Kernel to models from DeepSeek, Llama, OpenAI’s GPT-4o, and Sora, without provisioning GPUs or writing complex scheduling logic. Just submit your prompt and assets, and the models do the rest.

Using Azure’s Model as a Service, access cutting-edge models, including brand-new releases like DeepSeek R1 and Sora, as managed APIs with autoscaling and built-in security. Whether you’re handling bursts of demand, fine-tuning models, or provisioning compute, Azure provides the capacity, efficiency, and flexibility you need. With industry-leading AI silicon, including H100s, GB200s, and advanced cooling, your solutions can run with the same power and scale behind ChatGPT.

Mark Russinovich, Azure CTO, Deputy CISO, and Microsoft Technical Fellow, joins Jeremy Chapman to share how Azure's latest AI advancements and orchestration capabilities unlock new possibilities for developers.

► QUICK LINKS:

00:00 - Build and run AI apps and agents in Azure

00:26 - Narrated video generation example with multi-agentic, multi-model app

03:17 - Model as a Service in Azure

04:02 - Scale and performance

04:55 - Enterprise grade security

05:17 - Latest AI silicon available on Azure

06:29 - Inference at scale

07:27 - Everyday AI and agentic solutions

08:36 - Provisioned Throughput

10:55 - Fractional GPU Allocation

12:13 - What's next for Azure?

12:44 - Wrap up

► Link References

For more information, check out https://aka.ms/AzureAI

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