What runs ChatGPT, Sora, DeepSeek & Llama on Azure? (feat. Mark Russinovich)
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...
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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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