From GitHub to GPU: Build an Open Source AI App with Copilot, Azure Linux, and AKS

10月 15, 2026 | 6:00 - 7:00 下午 (UTC) 國際標準時間

準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。加入我們！

From GitHub to GPU: Build an Open Source AI App with Copilot, Azure Linux, and AKS

10月 15, 2026 | 6:00 - 7:00 下午 (UTC) 國際標準時間

準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。加入我們！

From GitHub to GPU: Build an Open Source AI App with Copilot, Azure Linux, and AKS

10月 15, 2026 | 6:00 - 7:00 下午 (UTC) 國際標準時間

格式:
線上直播

主題: 開放原始碼

語言: 英文

What does it take to turn an AI idea into a real, scalable application without hiding the infrastructure behind a black box?

We'll start with an open source GitHub repository and use GitHub Copilot to understand, adapt, and operate a complete AI workload. We deploy Ray and KubeRay on Azure Kubernetes Service (AKS), run LLM batch inference on an NVIDIA GPU, and explore how Azure Linux provides a lightweight, secure container host for the Kubernetes nodes under the hood.

Along the way, we'll connect the layers that make the application work using containers, Kubernetes resources, GPU scheduling, and open source operators.

We'll also explore autoscaling, network isolation, authentication, metrics, dashboards, and cost-aware management. Leave with a reusable GitHub repo and a clear roadmap for building open source AI systems on Azure.