AI Apps & Agents Dev Days

5:00 PM - 6:00 PM (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 AM - 3:00 AM (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 PM - 6:00 PM (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 AM - 3:00 AM (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 PM - 5:00 PM (UTC)

Brought to you by Microsoft and NVIDIA GPU-accelerated agents enable advanced AI workflows, but coordinating them securely and reliably requires clear separation between control and execution. In this joint session, Microsoft and NVIDIA present a hybrid 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 Foundry agents route requests, apply security controls, and monitor execution across GPU workloads, producing consistent and explainable results suitable for production environments with NVIDIA serverless GPUs. We’ll demonstrate how to secure, observe and control agent behavior end-to-end using Foundry Control Plane including lifecycle visibility, policy enforcement, auditability, and inter-agent communication patterns. The sample scenario features a Stable Diffusion-based image generation agent on Azure Container Apps called by a Foundry-hosted coordinator agent. If you’re building multi-agent systems in production, this session shows how to keep them reliable, governed, and enterprise-ready. 🔔 This session will be presented in two time zones. For our later stream, click here

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

Brought to you by Microsoft and NVIDIA GPU-accelerated agents enable advanced AI workflows, but coordinating them securely and reliably requires clear separation between control and execution. In this joint session, Microsoft and NVIDIA present a hybrid 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 Foundry agents route requests, apply security controls, and monitor execution across GPU workloads, producing consistent and explainable results suitable for production environments with NVIDIA serverless GPUs. We’ll demonstrate how to secure, observe and control agent behavior end-to-end using Foundry Control Plane including lifecycle visibility, policy enforcement, auditability, and inter-agent communication patterns. The sample scenario features a Stable Diffusion-based image generation agent on Azure Container Apps called by a Foundry-hosted coordinator agent. If you’re building multi-agent systems in production, this session shows how to keep them reliable, governed, and enterprise-ready. 🔔 This session will be presented in two time zones. For our earlier stream, click here