AI Apps & Agents Dev Days

4:00 em - 5:00 em (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 em - 9:00 em (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 fm - 5:00 fm (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 em - 7:00 em (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 fm - 1:00 fm (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 fm - 5:00 fm (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 em - 5:00 em (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 em - 12:00 fm (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 em - 6:00 em (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 em - 6:00 em (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 fm - 3:00 fm (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 em - 6:00 em (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 fm - 3:00 fm (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.

4:00 em - 5:00 em (UTC)

Brought to you by Microsoft and NVIDIA Orchestrate, secure and observe agents enabling advanced AI workflows. Reliable agent orchestration requires clear separation between control and execution. In this joint session, Microsoft and NVIDIA present a multi-agent architecture where Foundry Agent Service coordinates GPU-backed agents running on Azure Container Apps. Using a document processing scenario with multiple open-source models including NVIDIA Nemotron models, we show how agents route requests, apply security controls, and monitor execution across GPU workloads, producing consistent and explainable results suitable for production environments. 🔔 This session will be presented in two time zones. For our later stream, click here

1:00 fm - 2:00 fm (UTC)

Brought to you by Microsoft and NVIDIA Orchestrate, secure and observe agents enabling advanced AI workflows. Reliable agent orchestration requires clear separation between control and execution. In this joint session, Microsoft and NVIDIA present a multi-agent architecture where Foundry Agent Service coordinates GPU-backed agents running on Azure Container Apps. Using a document processing scenario with multiple open-source models including NVIDIA Nemotron models, we show how agents route requests, apply security controls, and monitor execution across GPU workloads, producing consistent and explainable results suitable for production environments. 🔔 This session will be presented in two time zones. For our earlier stream, click here

4:00 em - 5:00 em (UTC)

Scaling LLMs to production introduces critical challenges: How do you orchestrate multi-node execution? Optimize GPU scheduling? Achieve low-latency data transfers between nodes? This session reveals how NVIDIA Dynamo and Azure Kubernetes Service solve these challenges together. Through a real-world e-commerce recommendation scenario, discover how open-source frameworks and managed Kubernetes unlock enterprise-grade inference performance. Learn to harness advanced hardware like GB200 NVL72, optimize distributed workloads on AKS, and deliver cost-efficient AI at scale to turn infrastructure complexity into competitive advantage.

1:00 fm - 2:00 fm (UTC)

Scaling LLMs to production introduces critical challenges: How do you orchestrate multi-node execution? Optimize GPU scheduling? Achieve low-latency data transfers between nodes? This session reveals how NVIDIA Dynamo and Azure Kubernetes Service solve these challenges together. Through a real-world e-commerce recommendation scenario, discover how open-source frameworks and managed Kubernetes unlock enterprise-grade inference performance. Learn to harness advanced hardware like GB200 NVL72, optimize distributed workloads on AKS, and deliver cost-efficient AI at scale to turn infrastructure complexity into competitive advantage.

4:00 em - 5:00 em (UTC)

Brought to you by Microsoft & NVIDIA In this session, we’ll show how to build durable, production‑ready AI agents using the Microsoft Agent Framework, running on Azure Container Apps with NVIDIA serverless GPUs. Using a Travel Planner sample, we’ll walk through how agents can orchestrate long‑running workflows, persist state automatically, recover from failures, and pause for human‑in‑the‑loop input without losing progress. We’ll also highlight how Foundry IQ fits into agent architectures as a trusted knowledge source. This session focuses on practical .NET patterns and real‑world architectures for building resilient, scalable AI agent systems on Azure and NVIDIA GPU infrastructure.

1:00 fm - 2:00 fm (UTC)

Brought to you by Microsoft & NVIDIA In this session, we’ll show how to build durable, production‑ready AI agents using the Microsoft Agent Framework, running on Azure Container Apps with NVIDIA serverless GPUs. Using a Travel Planner sample, we’ll walk through how agents can orchestrate long‑running workflows, persist state automatically, recover from failures, and pause for human‑in‑the‑loop input without losing progress. We’ll also highlight how Foundry IQ fits into agent architectures as a trusted knowledge source. This session focuses on practical .NET patterns and real‑world architectures for building resilient, scalable AI agent systems on Azure and NVIDIA GPU infrastructure.