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Cisco and WWT bring together extensive experience with AI-scale infrastructure and domain expertise in building AI across collaboration, networking, security, and observability.

 

We deliver visibility and insights across the widest breadth and scale of data in the industry, all built on a foundation of trust and responsible AI.

Infrastructure to Power AI

Cisco Expands Partnership with NVIDIA to Accelerate AI Adoption in the Enterprise

Bringing together two of the most utilized networking portfolios, Cisco Silicon One and NVIDIA Spectrum-X, will offer enterprises unmatched flexibility and choice in AI data center investments.
News
•Feb 25, 2025

Deliver sustainable AI-native infrastructure to the edge, cloud & data center.

A faster, more flexible, more secure infrastructure and network are required to meet the increasing demands of AI training and inference workloads. Cisco helps to scale infrastructure with AI-native, high-density switches, improved network management, high-performance optics, and Cisco Validated Designs (CVDs). Cisco is reinventing data center operations for our customers by simplifying configuration, monitoring and maintenance of all fabrics, compute, networking and storage.

Cisco AI PODs

Advanced, purpose-built infrastructure solutions designed to empower organizations with the capabilities of artificial intelligence. These AI-ready PODs offer scalable and efficient performance, catering to a range of needs from cost-effective development to complex enterprise applications. With pre-configured, ready-to-deploy setups, centralized management, and seamless scalability, Cisco AI PODs simplify the deployment of AI technologies, enabling businesses to drive innovation and maintain a competitive edge in an AI-driven world. Whether you're beginning your AI journey or expanding high-performance workloads, Cisco AI PODs provide the tools and support necessary to unlock AI potential at every stage.

  • Validated Designs: Cisco AI PODs are built on Cisco Validated Designs, which are rigorously tested guidelines. These designs help reduce deployment risk by providing proven methods and best practices, optimize performance through efficient configurations, and ensure scalability to accommodate growing AI workloads.
  • Plug-and-Play Approach to AI Infrastructure : Cisco AI PODs provide four right-sized, validated infrastructure bundles optimized for specific AI workloads, such as edge inferencing, large-scale clusters, and retrieval-augmented generation on (RAG) deployments. Each POD integrates UCS X-Series-based compute and GPU, storage, networking, and cloud management components into a plug-and-play experience that simplifies the purchasing of AI infrastructure. This approach enables faster time to production-ready AI inferencing and data analysis.
  • Scalability and Flexibility: The AI PODs provide independent scalability at each layer of the infrastructure. This means that resources can be scaled up or down as needed, making them suitable for both data center and edge AI deployments, where different levels of computing power and storage may be required.
  • Centralized Management and Automation: These solutions include centralized management and automation features, which help accelerate the deployment process and simplify ongoing operations. This centralized approach allows for easier monitoring, control, and optimization of AI infrastructure.
  • Tailored Configurations: Cisco offers various configurations of AI PODs with NVIDIA accelerated computing to meet specific AI use cases. Whether a business needs edge inferencing capabilities or large-scale data center solutions, Cisco provides tailored setups that align with the unique requirements of different AI applications.
  • Integration with Leading Technologies: Cisco AI PODs integrate with leading software technologies from including NVIDIA AI Enterprise and Red Hat OpenShift. This integration supports high-performance AI tasks and streamlines machine learning operations, leveraging the strengths of these leading technology providers to enhance the overall capabilities of the AI infrastructure.

Cisco Nexus Hyperfabric AI

Cisco Nexus Hyperfabric AI is a premium solution designed to cater specifically to AI workloads, offering a comprehensive AI infrastructure that integrates the latest NVIDIA accelerated computing technology with Cisco's advanced Ethernet networking and management solutions. This easily deployable, scalable, and manageable AI/ML solution allows customers to build private cloud AI infrastructures with reduced operational overhead. With its cloud-managed, converged Ethernet network and NVDIA AI Enterprise software, Cisco Nexus Hyperfabric AI simplifies the IT lifecycle, enabling IT generalists, data-science teams, and DevOps teams to efficiently design, deploy, and operate AI clusters, making it an ideal choice for organizations looking to innovate and scale their AI capabilities.

  • AI Workload Optimization: Cisco Nexus Hyperfabric AI is tailored for AI workloads, integrating the latest accelerated computing infrastructure and AI software from NVIDIA. This ensures that AI applications can run efficiently and effectively, leveraging cutting-edge hardware to optimize performance.
  • Converged Ethernet Solution: The solution provides a unified Ethernet network that simplifies the deployment, scalability, and management of AI/ML solutions. This convergence allows for seamless integration and operation within existing network infrastructures.
  • Reduced Operational Overhead: Designed to minimize the complexity of operations, the solution enables IT generalists, data-science teams, and DevOps teams to manage AI infrastructure with ease, reducing the need for specialized skills and resources.
  • Scalability:  Customers can deploy AI clusters with confidence, utilizing existing skills and processes to support and scale their operations. This flexibility ensures that as demands grow, the infrastructure can expand accordingly.
  • Simplified IT Lifecycle: The solution streamlines the entire IT lifecycle, from design to deployment and operation, for both AI and non-AI data center fabrics. This simplification allows for more efficient management and quicker adaptation to changing needs.
  • Partnerships:  Cisco collaborates with NVIDIA and VAST Data to facilitate rapid and reliable AI deployment. These partnerships bring together expertise in networking, computing, and data storage to deliver a comprehensive AI solution.
  • Cloud Management: Managed by a cloud controller, the solution allows for the global management of data-center network fabrics with minimal expertise. This cloud-based approach provides centralized control and oversight, enhancing operational efficiency.

Security for AI, AI for Security

Empowering Security: Cisco's AI-Driven Future

Join us for an insightful conversation with Tom Gillis, SVP and General Manager, Cisco Security, Data Center, Internet and Cloud Infrastructure, as we explore the evolving cybersecurity landscape for 2025. We'll discuss the latest trends in AI-driven threats, the importance of integrated security solutions across the tech stack, and how Cisco's firewall models and Hypershield are shaping the future of defense strategies. Don't miss this opportunity to learn from a leading industry expert on how to stay ahead of emerging threats and safeguard your organization's data.
Webinar
•Jan 30, 2025 • 9am

Cisco Security Cloud is an AI-powered, cloud-native, cloud-delivered, integrated platform that delivers effective, scalable protection to organizations of any shape and size.

  • Assistant Experiences: Give security analysts the ability to operate at machine-scale- assisting with complex tasks, saving time, and eliminating errors and misconfigurations
  • Augment Human Insight: Augment human intelligence with AI-powered detections and intelligence, providing insight into what's going on in an environment and identifying patterns that humans may miss
  • Automate Complex Actions: Leveraging AI to reduce the time spent on tasks by automating repetitive actions and workflows, so more productive tasks can be prioritized

Cisco Hypershield

A groundbreaking AI-native security architecture designed to defend modern, AI-scale data centers. It uniquely combines security and networking by embedding security into every software component of applications running on networks, servers, and cloud deployments. With AI-powered capabilities, Cisco Hypershield automates security policy lifecycles and infrastructure upgrades, providing deep visibility and enforcement down to the kernel level. This innovative solution allows for unprecedented end-to-end security, enabling organizations to set their preferred level of autonomy while ensuring continuous protection and rapid response to threats.
 

  • Automated Segmentation Workflows: This involves using AI-driven segmentation to manage rules across various applications and workloads. It reduces the manual effort required by teams by automating the process of defining and enforcing segmentation policies, ensuring that security measures are consistently applied without the need for constant human intervention.
  • Flexible Segmentation Rules: These are policies that are informed by the application lifecycle and provide deep process visibility. Unlike rigid rules, flexible segmentation rules adapt to changes in application behavior and lifecycle, allowing for more dynamic and responsive security measures that align with the current state of the application.
  • Single, Global Policy: This refers to the implementation of a consistent policy across the entire network and all workloads. It involves intelligent placement of policies to ensure that security measures are uniformly applied, reducing the complexity and potential for errors that can arise from managing multiple disparate policies.
  • Surgical Exploit Protection: This is a process-level protection mechanism that blocks exploits while allowing applications to continue running. It involves precise security controls that target specific vulnerabilities without disrupting the overall functionality of the application, ensuring that security measures do not interfere with business operations.
  • End-to-End Vulnerability Protection: This provides a comprehensive view and prioritization of vulnerabilities within the system. AI-recommended remediations help prioritize which vulnerabilities to address first, based on their severity and potential impact, ensuring that the most critical issues are resolved promptly.
  • Self-Qualifying Updates: This utilizes dual dataplane technology to test updates without impacting production environments. By replicating live traffic in a shadow data plane, updates can be thoroughly vetted before being applied to the primary data plane, minimizing the risk of disruptions.
  • AI-Native Security: This security approach is designed with AI at its core, enabling autonomous management and intelligent recommendations. It leverages AI to continuously learn and adapt to new threats, providing proactive and informed security measures.
  • Kernel-Level Enforcement: This involves using eBPF technology to gain deep visibility and enforcement at the workload level. It allows for fine-grained security controls and monitoring of workload behavior without modifying the kernel, ensuring system stability while enhancing security.
  • Unified Cloud Management: This is a centralized approach to policy management that dynamically adapts to workload movements. It ensures that security policies are consistently applied across different environments, whether on-premises or in the cloud, and can adjust to changes in workload locations or configurations.
  • Virtual Machine and Container-Based Enforcement: This refers to network enforcement points that are positioned close to workloads, whether they are virtual machines or containers. It provides effective asset protection by ensuring that security measures are applied as close to the source of potential threats as possible, enhancing the overall security posture.

AI for Productivity

Transforming Customer Experience with Cisco Webex AI Agent and Solutions

Cisco's latest innovations in the AI space are redefining customer experience (CX) in the contact center and beyond. With Webex AI Agent and expanded AI functionality, organizations will boost operational efficiency with faster, smarter interactions and not only meet, but exceed customers' rising expectations with more personalized customer interactions.
Blog
•Jan 8, 2025

AI enhancements across the Webex platform increase productivity, enhance employee and agent experiences, and reduce burnout. Webex leverages Large Language Models (LLM) and Real-time Media Models (RMM) to improve communication, collaboration, and operational efficiency delivering purpose-built AI for employee and customer experiences by tapping into audio, video and text intelligence to elevate human interactions.

  • Generative AI for Operational efficiency – meeting summaries, chat summaries & message translation streamline follow up, improve response times and ensure all team members can participate fully regardless of native language
  • Audio and Video Intelligence – Noise reduction, face detection and identification and AI audio codecs provide an optimal experience for the demands of Hybrid Work
  • Improved Customer Interactions – Maintain agent productivity and morale, assist in provide prompt and accurate responses, and capture customer sentiments for proactive service improvements

WWT experts and the AI Proving Ground in our Advanced Technology Center (ATC) support the latest in Cisco AI Solutions.

Explore Cisco AI Solutions in WWT's AI Proving Ground

How Cisco and Pure are Shaping the Future for Enterprise AI

FlashStack unifies high-performance computing, GPU acceleration and advanced storage in a cohesive platform. Backed by Cisco Validated Designs, it ensures seamless integration and reduced deployment risks. Combined with Cisco's AI POD, FlashStack addresses AI deployment challenges, offering a future-ready blueprint for innovation and efficiency. To gain hands-on expertise, explore WWT's AI Proving Ground.
Blog
•Mar 18, 2025

Join WWT in the AI and Digital Revolution at NVIDIA GTC 2025!

Discover interactive demos at our booth, attend expert-led sessions by WWT, and learn how we can help accelerate your AI journey with innovative solutions and strategies.
Blog
•Mar 11, 2025

NVIDIA Blueprint: PDF Ingestion

NVIDIA Blueprints: PDF Ingestion, also known as NVIDIA-Ingest, or NV-Ingest, this blueprint is a scalable, performance-oriented document content and metadata extraction microservice. Including support for parsing PDFs, Word and PowerPoint documents, it uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images for use in downstream generative applications.
Sandbox Lab
88 launches

Cisco AI PODs: A Groundbreaking Advancement in AI Infrastructure

Cisco AI PODs offer a plug-and-play AI infrastructure solution, integrating compute, storage, networking, and the NVIDIA AI Enterprise software platform for seamless deployment. Optimized for various AI workloads, these pre-validated bundles accelerate AI adoption, ensuring scalability and efficiency. Centralized management and flexible integration make AI infrastructure straightforward and future-ready. Available now!
Blog
•Jan 24, 2025

Hands-On Lab Workshop: Cisco RoCE Networking

Join us for the Virtual Lab Workshop! During this exclusive session, the host will introduce the Cisco RoCE Networking lab. This lab is designed to provide an environment to gain hands-on experience with the fundamental features of Cisco RoCE Networking Lab. This lab will demonstrate how the Cisco Nexus Dashboard Fabric Controller (NDFC) can easily set up an AI/ML fabric with a simple point-and-click GUI. This one-hour event is limited to 60 participants who will have the opportunity to engage in Q&A during the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.
Webinar
Jan 23, 2025 • 1pm

Cisco RoCE Fabrics

This lab will demonstrate how the Cisco Nexus Dashboard Fabric Controller can easily set up an AI/ML fabric with a simple point-and-click GUI. It will only do this easily without knowing the protocols or best practices. The controller will do the work.
Advanced Configuration Lab
207 launches

Revving Up ECMP Routing for AI/ML Workloads

Dive into the world of high-performance networking. In this article, you will discover solutions to optimize Ethernet for AI/ML and HPC environments, ensuring seamless GPU synchronization and enhanced network performance.
Blog
•Jan 7, 2025

Scaling Gen AI Workloads in the Enterprise with Cisco | Partner Spotlight

As AI hype continues, the task of implementing and scaling AI initiatives is becoming increasingly complex and daunting. In this executive-led conversation between WWT's Neil Anderson and Cisco Senior Vice President of Compute, Jeremy Foster, learn about how Cisco's AI-ready infrastructure can help you accelerate the introduction of AI into all aspects of your organization. Jeremy and Neil talk about the growing partnership between Cisco, NVIDIA and WWT; new innovations coming out of Cisco like Cisco Nexus HyperFabric; and how you can make sense of the fast-moving AI landscape to make informed decisions that will drive outcomes for your business.
Webinar
Sep 26, 2024 • 9am

Why WWT for Cisco AI Solutions?

With over 600 skilled developers worldwide and many successful business transformation applications delivered, our Application Services (AS) team is a tremendous asset to customers. Offerings include software and application development and third-party platform integrations.

Whether you need help strategizing and implementing enterprise architecture, solidifying your segmentation business case, assessing the risks and maturity of your current approach, improving operational efficiencies or building and executing a plan to fill gaps — we can help. Our services range from briefings, assessments and workshops to long-term consulting and technical engagements.

Learn more →

Our Advanced Services team helps equips organizations with their new technology as quickly as possible to start driving outcomes. We have extensive experience modernizing, moving and consolidating data center infrastructures — both physical and virtual. Get support to seamlessly deploy the latest technology and ensure reliability, flexibility and performance across your enterprise.

Learn more →

With more than four million square feet of space on three continents, we are positioned to provide robust logistics and life-cycle management internationally. Services range from basic, just-in-time logistics to configuration and staging. AI-specific offerings include imaging and configuration, burn-in and testing, and physical/logical integration. In addition, process automation allows us to integrate with customer systems for seamless device delivery and management.

Learn more →

Leveraging the Advanced Technology Center (ATC), we are able to demonstrate the capabilities and features of Cisco AI Solutions. More importantly, the power of the ATC comes through with all the integrations with other systems and services such as NVIDIA, VAST Data and Pure Storage. This allows us to quickly showcase automation of business process.

Cisco AI Solutions certifications and awards

WWT employs 367 Cisco-certified engineers and holds more than 6,060 individual Cisco certifications. Notable certifications include many CCIE data center certifications, including:

  • Cisco Gold Integrator
  • Cisco Master Collaboration Specialized
  • Cisco Master Data Center and Hybrid Cloud Specialized
  • Cisco Master Networking Specialized
  • Cisco Master Security Specialized

WWT was also recognized with two Cisco global partner awards in 2024, including global Collaboration and Webex Partner of the year.

View all of WWT's Cisco certifications and awards

Connect with our Cisco AI Solution experts

Neil AndersonVP Cloud, Infra, and AI Solutions
Mike TrojeckiSr. Director, AI Practice
Jeff FonkePractice Director High-Performance Architecture
Chris KonradVice President, Global Cyber
Drew KaiserTechnical Solutions Architect III
Joe BergerVice President, Digital Experience
Brandon EcheleDirector - Collaboration & Workforce AI
Simon KrugerPractice Manager - Contact Center
Contact a WWT expert

Cisco AI Solutions

Cisco connects and protects the AI era. With the trusted infrastructure to power and secure AI, Cisco helps you to maximize AI's value for your organization.

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