AI Hype to Mission Impact

Explore the WWT Agentic Network Assistant, a browser-based AI tool that converts natural language into Cisco CLI commands, executes them across multiple devices, and delivers structured analysis. Using a local LLM, it streamlines troubleshooting, summarizes device health, and compares configs, demonstrating the future of intuitive, AI driven network operations.

Initiation is a Capture the Flag (CTF) lab meant to introduce you to the WWT Cyber Range platform and serve as a tutorial for future events. You will be introduced to the features and functionality as well as provided tips for success during future WWT Cyber Range CTFs. This lab will also allow you to test your access using the same platform we use for our live CTF events so you can make sure you will be ready on game day.

The WWT AI-Powered Predictive Maintenance Assistant uses machine learning and a large language model to predict equipment failures, schedule maintenance, generate instructions, and answer related questions. Through an interactive UI, users explore proactive, data-driven strategies to reduce downtime, extend machine life, and optimize resources, demonstrating AI's transformative potential in manufacturing environments.

NVIDIA's AI Blueprint for RAG is a foundational guide for developers to build powerful data extraction and retrieval pipelines. It leverages NVIDIA NeMo Retriever models to create scalable and customizable RAG (Retrieval-Augmented Generation) applications. This blueprint allows you to connect large language models (LLMs) to a wide range of enterprise data, including text, tables, charts, and infographics within millions of PDFs. The result is context-aware responses that can unlock valuable insights. By using this blueprint, you can achieve 15x faster multimodal PDF data extraction and reduce incorrect answers by 50%. This boost in performance and accuracy helps enterprises drive productivity and get actionable insights from their data.

This lab is the Cisco ACI Fundamentals Lab Part 1, and after completion, the student can launch Cisco ACI Fundamentals Lab Part 2 to complete the entire lab. The lab uses the ACI virtual simulator based on ACI Version 6.1(3f), emulating an APIC, 2 leafs, and a spine. Part 2 uses a shared physical ACI fabric to complete the policy and verify data plane connectivity. The ACI Virtual Simulator was needed to demo the building of the ACI fabric from scratch, bootstrapping the APIC, adding the spine and leafs, fabric discovery, and completing VMM integration. Since the Cisco ACI Fundamentals Lab, Part 2 is a shared on-demand environment, to decouple the APIC build process from the APIC policy creation. Due to limitations, the virtual ACI fabric is a control plane-only simulator, and no data plane testing (Ping, SSH) can get done for validation. Cisco ACI Fundamentals Lab Part 2 uses a Tenant inside of a physical ACI, and data plane functionality can get tested ( Ping, SSH)

Experience Cisco AI Defense in an interactive Capture the Flag (CTF), designed to showcase how Cisco is securing the future of GenAI.

Iterate.ai's Generate platform pairs with Intel Xeon CPUs, Gaudi 3 accelerators, Pure Storage FlashBlade//S, and Milvus vector DB. Deployed via Kubernetes/Slurm, it scales quickly, needs minimal tuning, and runs Llama 3, Mistral, and Inflection to accelerate AI training, inference, and search for healthcare, life-science, and finance workloads.

The Palo Alto NGFW Foundations Lab is a capability of the Advanced Technology Center (ATC) designed to provide an environment to gain hands-on experience with the fundamental features of Palo Alto's solution. The environment that supports the lab is completely virtual, removing any hardware dependencies associated with physical infrastructure.