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Bringing AI to DevNet Learning Labs Neelesh Pateriya on March 27, 2026 at 6:01 pm

Start a Learning Lab, get instant LLM access. No provider signups, no LLM configuration—just open the terminal and the model is ready. AI Defense, MCP Security, A2A Protocol, and Skill Security labs are live now, with more AI-powered labs coming.

​[#item_full_content]  Start a Learning Lab, get instant LLM access. No provider signups, no LLM configuration—just open the terminal and the model is ready. AI Defense, MCP Security, A2A Protocol, and Skill Security labs are live now, with more AI-powered labs coming.  Read More Cisco Blogs 

Redefining the Learning Experience: The Impact of Our Strategic Partnership with MindTickle Alejandro Rodriguez on March 27, 2026 at 6:08 pm

Celebrate Cisco Black Belt Academy’s one-year anniversary on MindTickle, marking 160% YoY certification growth through strategic partnership and AI-driven innovations transforming global partner learning.

​[#item_full_content]  Celebrate Cisco Black Belt Academy’s one-year anniversary on MindTickle, marking 160% YoY certification growth through strategic partnership and AI-driven innovations transforming global partner learning.  Read More Cisco Blogs 

Accelerating AI innovation with Cisco Nexus Hyperfabric solutions Faisal Hanif on March 27, 2026 at 3:00 pm

Cisco just raised the bar for enterprise AI at NVIDIA GTC, unveiling its next-generation Nexus Hyperfabric, an AI-ready, cloud-managed platform that unifies compute, networking, storage, and automation. Now with purpose-built hardware and NVIDIA Partner Cloud compliance, organizations can move from AI pilots to production faster and with far less complexity.

​[#item_full_content]  Cisco just raised the bar for enterprise AI at NVIDIA GTC, unveiling its next-generation Nexus Hyperfabric, an AI-ready, cloud-managed platform that unifies compute, networking, storage, and automation. Now with purpose-built hardware and NVIDIA Partner Cloud compliance, organizations can move from AI pilots to production faster and with far less complexity.  Read More Cisco Blogs 

Writing your first simple AI agent? Here are some tips Yuri Kramarz on March 26, 2026 at 4:43 pm

Everyone's talking about AI agents, but most explanations overcomplicate it. 

An agent is just instructions that tell AI how to think and execute action. Not just what to do, but how to approach problems. Think of it as capturing your best decision-making process in a format that scales and always executes the same way. 

Here's what matters when you build one. 

​[#item_full_content]  [[{"value":"Everyone's talking about AI agents, but most explanations overcomplicate it. 

An agent is just instructions that tell AI how to think and execute action. Not just what to do, but how to approach problems. Think of it as capturing your best decision-making process in a format that scales and always executes the same way. 

Here's what matters when you build one. "}]]  Read More Cisco Blogs 

Responsible AI in Healthcare Starts with a Unified Edge Ecosystem James Leach on March 25, 2026 at 9:03 pm

Healthcare organizations can leverage edge AI solutions to streamline clinical workflows and assist in the protection of sensitive data, empowering clinicians to focus on patient care while striving for improved operational efficiency.

​[#item_full_content]  Healthcare organizations can leverage edge AI solutions to streamline clinical workflows and assist in the protection of sensitive data, empowering clinicians to focus on patient care while striving for improved operational efficiency.  Read More Cisco Blogs 

High camera deployment costs? Not with Cisco Lesly Anzo on March 25, 2026 at 3:00 pm

Learn more about how the Cisco MV44X dual-imager camera can help build a more sustainable, scalable network with simple deployment.

​[#item_full_content]  Learn more about how the Cisco MV44X dual-imager camera can help build a more sustainable, scalable network with simple deployment.  Read More Cisco Blogs 

Fine-Tuning Embedding Models for Enterprise Retrieval: A Practical Guide with NVIDIA Nemotron Recipe Md Rahman on March 25, 2026 at 2:08 am

Cisco IT recently evaluated fine-tuning embedding models using NVIDIA Nemotron RAG fine-tuning recipe as part of an effort to improve retrieval accuracy for domain-specific enterprise data. The objective was not to redesign existing retrieval-augmented generation (RAG) systems, but to understand whether targeted embedding fine-tuning could materially improve semantic search quality with reasonable effort and fast turnaround. Through this experiment, Cisco was able to validate firsthand that embedding fine-tuning, combined with synthetic data generation, can deliver measurable accuracy gains within a short time frame. The experiment also demonstrated strong time-to-value, enabling rapid iteration and clear performance signals without long training cycles or extensive manual labeling. The reduced turnaround of only a few days to understand the immediate benefits was a key outcome of this collaboration.
The embedding model training and evaluation workflow was executed on Cisco AI PODs running Cisco UCS 885A infrastructure powered by NVIDIA HGX platform.

​[#item_full_content]  [[{"value":"Cisco IT recently evaluated fine-tuning embedding models using NVIDIA Nemotron RAG fine-tuning recipe as part of an effort to improve retrieval accuracy for domain-specific enterprise data. The objective was not to redesign existing retrieval-augmented generation (RAG) systems, but to understand whether targeted embedding fine-tuning could materially improve semantic search quality with reasonable effort and fast turnaround. Through this experiment, Cisco was able to validate firsthand that embedding fine-tuning, combined with synthetic data generation, can deliver measurable accuracy gains within a short time frame. The experiment also demonstrated strong time-to-value, enabling rapid iteration and clear performance signals without long training cycles or extensive manual labeling. The reduced turnaround of only a few days to understand the immediate benefits was a key outcome of this collaboration.
The embedding model training and evaluation workflow was executed on Cisco AI PODs running Cisco UCS 885A infrastructure powered by NVIDIA HGX platform."}]]  Read More Cisco Blogs 

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