AI Apps & Agents Dev Days

4:00 ÖS - 5:00 ÖS (UTC)

Brought to you by Microsoft and NVIDIA​ ​ Join this live session to learn how to deploy OpenAI’s GPT-OSS models on serverless GPUs using NVIDIA NIM. We’ll show how to spin up gpt-oss on demand and demonstrate scenarios that use its reasoning and tool-calling abilities. Learn how NVIDIA NIM simplifies the journey from experimentation to deploying enterprise AI applications on Azure Container Apps, with pre-optimized models and industry-standard APIs. Discover how to scale open models efficiently while unlocking new agentic workflows.

8:00 ÖS - 9:00 ÖS (UTC)

Brought to you by Microsoft and NVIDIA​ ​ Join this live session to learn how to deploy OpenAI’s GPT-OSS models on serverless GPUs using NVIDIA NIM. We’ll show how to spin up gpt-oss on demand and demonstrate scenarios that use its reasoning and tool-calling abilities. Learn how NVIDIA NIM simplifies the journey from experimentation to deploying enterprise AI applications on Azure Container Apps, with pre-optimized models and industry-standard APIs. Discover how to scale open models efficiently while unlocking new agentic workflows.

4:00 ÖÖ - 5:00 ÖÖ (UTC)

Brought to you by Microsoft and NVIDIA​ ​ Join this live session to learn how to deploy OpenAI’s GPT-OSS models on serverless GPUs using NVIDIA NIM. We’ll show how to spin up gpt-oss on demand and demonstrate scenarios that use its reasoning and tool-calling abilities. Learn how NVIDIA NIM simplifies the journey from experimentation to deploying enterprise AI applications on Azure Container Apps, with pre-optimized models and industry-standard APIs. Discover how to scale open models efficiently while unlocking new agentic workflows.

6:00 ÖS - 7:00 ÖS (UTC)

Join this live session to explore what drives performance in modern AI systems with experts from Microsoft and NVIDIA. We’ll break down how latency and throughput shape responsiveness in large language models and share techniques you can use to improve performance. Learn how hardware, batching, model size, and inference optimizations affect system efficiency, and see benchmarking in action across different configurations in Azure. Discover how to unlock new levels of model performance through advanced infrastructure from Azure and NVIDIA.

12:00 ÖÖ - 1:00 ÖÖ (UTC)

Join this live session to explore what drives performance in modern AI systems with experts from Microsoft and NVIDIA. We’ll break down how latency and throughput shape responsiveness in large language models and share techniques you can use to improve performance. Learn how hardware, batching, model size, and inference optimizations affect system efficiency, and see benchmarking in action across different configurations in Azure. Discover how to unlock new levels of model performance through advanced infrastructure from Azure and NVIDIA.

4:00 ÖÖ - 5:00 ÖÖ (UTC)

Join this live session to explore what drives performance in modern AI systems with experts from Microsoft and NVIDIA. We’ll break down how latency and throughput shape responsiveness in large language models and share techniques you can use to improve performance. Learn how hardware, batching, model size, and inference optimizations affect system efficiency, and see benchmarking in action across different configurations in Azure. Discover how to unlock new levels of model performance through advanced infrastructure from Azure and NVIDIA.

4:00 ÖS - 5:00 ÖS (UTC)

Explore how to leverage multi-agent systems in your applications to optimize operations, automate recommendations, and enhance customer experience. The solution utilizes Microsoft Agent Framework, OpenAI ChatKit and NVIDIA Nemotron model on Microsoft Foundry to seamlessly connect with store databases, integrate human oversight, and deploy scalable chat agents. This approach enables real-time analytics, predictive insights, and personalized interactions, resulting in improved decision-making, operational efficiency, and a superior user experience for both application developers and users.

11:00 ÖS - 12:00 ÖÖ (UTC)

Explore how to leverage multi-agent systems in your applications to optimize operations, automate recommendations, and enhance customer experience. The solution utilizes Microsoft Agent Framework, OpenAI ChatKit and NVIDIA Nemotron model on Microsoft Foundry to seamlessly connect with store databases, integrate human oversight, and deploy scalable chat agents. This approach enables real-time analytics, predictive insights, and personalized interactions, resulting in improved decision-making, operational efficiency, and a superior user experience for both application developers and users.

5:00 ÖS - 6:00 ÖS (UTC)

Explore how to leverage multi-agent systems in your applications to optimize operations, automate recommendations, and enhance customer experience. The solution utilizes Microsoft Agent Framework, OpenAI ChatKit and NVIDIA Nemotron model on Microsoft Foundry to seamlessly connect with store databases, integrate human oversight, and deploy scalable chat agents. This approach enables real-time analytics, predictive insights, and personalized interactions, resulting in improved decision-making, operational efficiency, and a superior user experience for both application developers and users.

5:00 ÖS - 6:00 ÖS (UTC)

Brought to you by Microsoft and NVIDIA Move beyond foundational concepts and dive into production-grade deployment of enterprise research agents. This session explores advanced architecture patterns for scaling NVIDIA AI-Q Blueprints and Nemotron models on Azure Kubernetes Services (AKS), focusing on real-world optimization strategies, performance tuning, and operational best practices. Learn how to leverage NVIDIA NIM microservices alongside Nemotron's open-source models to build intelligent agents that reason across complex enterprise data, with practical insights on cost optimization, reliability, and multi-agent orchestration in Kubernetes environments

2:00 ÖÖ - 3:00 ÖÖ (UTC)

Brought to you by Microsoft and NVIDIA Move beyond foundational concepts and dive into production-grade deployment of enterprise research agents. This session explores advanced architecture patterns for scaling NVIDIA AI-Q Blueprints and Nemotron models on Azure Kubernetes Services (AKS), focusing on real-world optimization strategies, performance tuning, and operational best practices. Learn how to leverage NVIDIA NIM microservices alongside Nemotron's open-source models to build intelligent agents that reason across complex enterprise data, with practical insights on cost optimization, reliability, and multi-agent orchestration in Kubernetes environments

5:00 ÖS - 6:00 ÖS (UTC)

Brought to you by Microsoft & NVIDIA Join us and learn how to build a production‑ready, voice‑enabled AI agent with GitHub Copilot and Microsoft Foundry, showcased through a hands‑on demo. Upgrade a Python podcast‑editing app using NVIDIA Parakeet for high‑accuracy local ASR and NVIDIA Nemotron on Azure for concise summaries, titles, and structured outputs. We’ll share proven patterns for model selection, evaluation, chaining, orchestration, responsible guardrails, and automated DevOps deployment—plus the developer metrics that matter (latency, throughput, errors, memory and GPU usage)—so you leave with a reusable blueprint for real applications.

2:00 ÖÖ - 3:00 ÖÖ (UTC)

Brought to you by Microsoft and NVIDIA Join us and learn how to build a production‑ready, voice‑enabled AI agent with GitHub Copilot and Microsoft Foundry, showcased through a hands‑on demo. Upgrade a Python podcast‑editing app using NVIDIA Parakeet for high‑accuracy local ASR and NVIDIA Nemotron on Azure for concise summaries, titles, and structured outputs. We'll share proven patterns for model selection, evaluation, chaining, orchestration, responsible guardrails, and automated DevOps deployment---plus the developer metrics that matter (latency, throughput, errors, memory and GPU usage)---so you leave with a reusable blueprint for real applications.