TikTok for Developers presents: InfiniEdge AI Release 1.0 Code Lab

​Overview

​InfiniEdge AI, part of the LF Edge umbrella, Release 1.0 introduces a suite of powerful new features designed to streamline edge AI deployments. Join us for this hands-on Code Lab where you’ll learn to leverage enhancements in edge node orchestration, model lifecycle management, data pipeline improvements, and observability tools—all essential for real-world edge AI projects.

​What You’ll Learn

• ​Explore New Features: Get acquainted with improvements such as advanced edge node orchestration, robust model lifecycle/versioning, streamlined data ingestion, and expanded observability tools.

• ​Hands-on Deployment: Set up and deploy InfiniEdge AI in both local and cloud environments to build a scalable edge AI pipeline.

• ​Use-Case Demonstration: Implement a sample AI use case (e.g., image classification or sensor data processing) that highlights the new release’s capabilities.

• ​Best Practices: Learn performance optimization, security measures, and management techniques for deploying AI at scale on edge devices.

​Who Should Attend

• ​Edge Developers: Developers focused on building and deploying AI applications on edge devices.

• ​Data Scientists: Practitioners looking to operationalize machine learning/deep learning models at the edge.

• ​DevOps & MLOps Engineers: Professionals managing CI/CD pipelines and infrastructure for AI projects.

• ​Project Managers/Technical Leads: Those seeking to understand how InfiniEdge AI Release 1.0 can drive strategic initiatives.

​Prerequisites

• ​Basic understanding of containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).

• ​Familiarity with AI/ML deployment concepts, including model packaging and data pipelines.

• ​A development environment with Docker (or an alternative container runtime), Python 3.x, and Git installed.

• ​Access to a test cluster/environment (e.g., Minikube, K3s, or Kubernetes via Docker Desktop).

​Note: A detailed setup guide for local or cloud-based deployment will be provided ahead of the event.

​Session Outline

​(Detailed agenda to be shared with registered participants.)

• ​Introduction & Motivation: Discover the significance of edge AI and how InfiniEdge AI Release 1.0 addresses common challenges.

• ​Environment Setup & Installation: Follow a step-by-step guide to pull container images, configure control planes, and validate your setup.

• ​Deep Dive into New Features: Explore live demonstrations covering edge node orchestration, model lifecycle management, data pipeline enhancements, and observability tools.

• ​Hands-on Tutorial: Deploy a sample AI model across multiple edge nodes—package your model, deploy via CLI/UI, simulate data ingestion, and monitor performance.

• ​Troubleshooting & Best Practices: Address common issues, discuss security practices, and learn performance tuning techniques for resource-constrained edge environments.

• ​Q&A and Next Steps: Engage in an interactive discussion, access additional resources, and learn about follow-up sessions.

​Materials & Resources

• ​Code Repository: Access setup scripts, sample model configurations, and a step-by-step lab guide on GitHub/GitLab.

• ​Documentation: Quickstart guides, FAQs, and reference materials for InfiniEdge AI.

• ​Slide Deck & Lab Instructions: Detailed slides and “copy-paste” instructions to help you follow along during the session.

​Logistics & Follow-Up

• ​Pre-Event Preparation: Setup instructions and a Docker/Kubernetes checklist will be sent 1–2 weeks prior to the event.

• ​During the Code Lab: Interactive guidance, real-time troubleshooting, and mentor support throughout the hands-on exercises.

• ​Post-Event: A recorded session (if available), key Q&A highlights, and a feedback form will be shared to help improve future events.

​Join Us

​Dive into the latest innovations in edge AI and gain practical, hands-on experience with InfiniEdge AI Release 1.0. Register now to secure your spot and join the growing community of edge AI practitioners!

​Tina Tsou invites you to join a Lark Video Conference

​Meeting Topic:
TT4D: InfiniEdge AI 1.0 Code Lab

​Meeting Time:
February 7 (Today) 15:00 - 17:00 (GMT-8)

​Meeting ID:
515 631 275

​Meeting Link:
https://vc-us.larkoffice.com/j/515631275

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​Contact

​@Tina Tsou (TikTok)

​tina.tsou@tiktok.com