Meet the Cisco Deep Network Model: Trained by the Experts, Purpose-Built for the Network
Imagine a world where networks aren’t just managed but truly understood. A world where troubleshooting is intuitive, configurations are seamless, and automation feels effortless. With Cisco’s new deep network model, this vision becomes reality. It represents a groundbreaking leap in networking technology: a purpose-built large language model (LLM) that is transforming network operations, redefining how engineers troubleshoot, and shaping the agentic era.
Not Just Another LLM
The deep network model isn’t just another AI model; it’s a networking revolution. Trained on decades of Cisco expertise, real-world troubleshooting experience, and annotated reasoning paths, it understands networks in a way no general-purpose LLM can.
- Purpose-Built for Networking: Unlike traditional models, the deep network model is specifically designed for networking tasks. It has up to 20% more accurate reasoning for troubleshooting, configuration, and automation compared to leading general-purpose LLMs. This precision means fewer errors, faster resolutions, and more robust networks.
- Trusted Training: The Cisco deep network model is built on a foundation of Cisco U courseware and CCIE-level knowledge comprised of over 40 years of operational insight. The model has been trained on over 40M tokens, and Cisco experts have contributed more than 3000 reasoning traces, meticulously annotating and validating each layer of logic.
- Continuous Learning: Networks are always evolving, and so is the deep network model. With reinforcement learning, the model consistently adapts with new data and real-world Technical Assistance Center (TAC) and Customer Experience (CX) insights.
Powering the Agentic Ops Era
The deep network model is more than a tool—it’s the backbone of AgenticOps, a new paradigm in network operations. In this era, real-time data translates into real-time outcomes, and the deep network model is at the heart of it all.
Introducing Cisco AI Canvas
AI Canvas is where AgenticOps comes to life, and the deep network model shines. It’s a shared workspace where every domain comes together—network, cloud, security, observability, collaboration—all in one real-time view. But more than that, it’s where AI stops assisting… and starts operating. Built on the foundation of the deep network model, AI Canvas redefines how humans and AI work together to accomplish more.
Meet Cisco AI Assistant
Embedded within AI Canvas, the Cisco AI Assistant leverages the power of the deep network model to become a trusted partner for network engineers. It doesn’t just provide answers; it offers actionable insights, walking you through diagnostics, decisions, and resolutions—all grounded in live telemetry and years of networking expertise.
Together, AI Canvas and AI Assistant create a system that can see, reason, and act across every domain, empowering teams to deliver outcomes faster and more efficiently than ever before.
Constantly Learning, Always Adapting
The deep network model is not static; it sets a new industry standard for precision and expertise through continuous advancements and ongoing refinement. As the model gains deeper insights, it will master the nuances of the entire Cisco ecosystem, unlocking new possibilities for network management and optimization to adapt to evolving business needs. The deep network model will redefine what’s possible in network management, troubleshooting, and automation, empowering IT professionals to achieve more, act faster, and revolutionize the network.
Many of the products and features mentioned are still in development and will be made available as they are finalized, subject to ongoing evolution in development and innovation. The timeline for their release is subject to change
Is this really “Trained on decades of Cisco” or is it RAG?
Amazing Job! How can we get more information about the Cisco Deep Network Model and leverage its powerful capabilities in our daily work? Thank you very much for your response in advance!
Awesome! How can we leverage this in our AIOps SNOC? Thank you very much for your response in advance!
Can’t wait to find out how to utilize this and run this. I heard that AI Canvas was available to CCIE’s, however, I’m curious about strictly the Cisco deep network model and how to start working with this.
Congratulations!!
I also have similar questions mentioned below? Is it as a foundation model with Cisco’s data or fine tuned model? why you didn’t go with RAG? How are you complement the DNM model with grounding?
Just imagine, da… it’s 2030. CLI is like ancient script now. Freshers asking, ‘What is VLAN bro?’ And some junior engineer finds one old ACL with 200+ lines and says, ‘Aiyo! People used to type this manually?’
This new Cisco Deep Network Model is not just some fancy AI — it’s like our own brain uploaded into the system with lots of tribal troubleshooting exterince. It’s learning from all our late nights, coffee-fueled troubleshooting, and those scary bridge loop war stories and many fights with application/server teams on the blame game.
For all my fellow network folks — don’t worry, AI is not replacing us. It’s becoming our sidekick. We are the ones training it to think like a real engineer, solve problems, and maybe even give proper documentation without asking 10 times.
One day we’ll sit peacefully, sipping filter coffee/tea, while AI handles the multicast storm. What a time to be a NetEng!
It seems that they are all rather vague descriptions and no substantive case explanations have been seen