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Cisco Reveals Nexus HyperFabric AI Clusters, A New Simplified Data Center Infrastructure Solution with NVIDIA for Generative AI

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Hybrid cloud infrastructure for AI and the next decade with Cisco Unified Computing System (UCS) and WWT

Application growth along with intensive demands for AI and Machine Learning workloads has forced organizations to rethink infrastructure and operations. In a hybrid cloud world, IT must free itself from the burden of managing massive complexity in order to keep up.  Cisco UCS X-Series Modular System with Intersight empowers organizations to simplify IT and harness the full the full power of AI to drive innovation and maintain a competitive edge in a data-centric landscape.

 

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


This unique lab environment accelerates your ability to learn about, test, train and implement innovative AI solutions.

AI Proving Ground:  Cisco UCS Reference Architecture for Generative AI

UCS X-Series Modular Chassis
UCS X-Series Blade Servers
UCS C-Series Rackmount Servers


The Cisco UCS X-Series with Intersight is a modular system managed from the cloud or an on-premises appliance, designed to support both traditional enterprise and modern workloads in a hybrid cloud environment. Utilizing Intel® 4th and 5th Gen Xeon® Scalable Processors, and soon to include AMD processors, the UCS X-Series features a unified form factor, eliminating the need for multiple IT silos as application diversity and volume increase. This system enables organizations to scale infrastructure and adopt new technologies, such as increased GPU processing power, without standalone upgrades of compute and networking resources. 

Recognized with the 2023 SEAL Sustainable Product Award, the UCS X-Series is purpose-built for a sustainable future. Cisco Intersight's AI-driven operations further enhance efficiency with predictive analytics, automating routine tasks and proactively detecting issues before they impact performance, thus optimizing the infrastructure for the complexities of AI-driven transformations.
 

Cisco UCSX-9508 Modular Chassis

The Cisco UCS X-Series 9508 Chassis, known for its exceptional modularity, supports a variety of GPU configurations to meet diverse computational needs. It can accommodate GPU blades such as the H100 and the L40S, or smaller mezzanine adapter GPUs like the T4, with each blade connecting to two smaller form factor GPUs. Larger GPUs require the X440P blade, complemented by the X-Fabric deployed in a dual fabric on the back of the chassis. The modular design allows for easy swapping of parts, akin to connecting Lego pieces. Additionally, the new UCSX-Direct, a FI-less solution with miniaturized FIs placed in an A/B pair at the back of the chassis, has been announced and is now orderable. This makes it an ideal solution for AI at the edge, as it retains all the benefits of the standard data center chassis without the need for FIs at the top of the rack. The ability to incorporate a wide range of GPU processing options enhances its suitability for edge computing, offering flexibility, robustness, and powerful AI capabilities in a compact design.

The Cisco UCS X210c M6 and X210c M7 servers are designed to be seamlessly managed through Intersight, whether deployed on-premises or in the cloud. Both servers offer robust performance and flexibility for a variety of workloads, but they differ in several key areas.  The X210c M6 server is powered by Intel® 3rd Gen Xeon® Scalable Processors and supports up to 6TB of DDR4 memory, making it an excellent choice for general-purpose computing needs. In contrast, the X210c M7 server features the latest Intel® 4th and 5th Gen Xeon® Scalable Processors, offering enhanced performance, increased memory capacity of up to 12TB with DDR5, and advanced security features.  The M7 server also provides superior support for AI and ML workloads with its advanced processing capabilities, higher core counts, and improved memory bandwidth. These enhancements enable more efficient handling of complex computations and large datasets, giving the M7 a significant advantage over the M6 in AI and ML applications.  Both models benefit from Intersight's comprehensive management capabilities, which streamline operations, enhance security, and enable predictive analytics for proactive issue resolution, ensuring that organizations can maintain optimal performance and efficiency in their IT environments.

The Cisco UCS X410c M7 server, featuring a four-socket Intel® 4th and 5th Gen Xeon® Scalable Processors, stands out as the higher performance option. It offers superior processing capabilities, higher core counts, and increased memory bandwidth, making it ideal for intensive AI applications such as real-time data analytics, natural language processing, and complex neural network training. Upgrading current GPUs is effortless, allowing organizations to adapt their AI strategy by swapping out GPUs for lower or higher-end models as needed.  This modularity ensures that adding or upgrading GPUs is hassle-free, enhancing the overall flexibility and scalability of the UCS X-Series system. This integration allows organizations to maximize their computational capabilities, efficiently handling complex tasks and large datasets within a unified infrastructure. For those not requiring high-end GPUs, the M6 and M7 X210c blade servers also offer a smaller mezzanine option, accommodating up to two smaller NVIDIA T4 GPUs, providing versatile solutions for varying computational needs.

The Cisco UCS X440p, also known as the Cisco X-Fabric, is a proprietary fabric designed to seamlessly integrate high-end GPUs with the X210c M6 and M7 servers within the X9508 chassis. This innovative fabric offers an easy-to-use, modular approach to connecting powerful GPUs, such as the NVIDIA H100 and L40S, to the servers. Inserting the X440p into the back of the chassis is straightforward, making it simple to enhance your system's GPU capabilities. The X-Fabric supports a variety of NVIDIA and Intel GPU configurations, enabling both the M6 and M7 servers to leverage advanced processing power for demanding workloads, including AI and ML applications. Upgrading current GPUs is effortless, allowing organizations to adapt their AI strategy by swapping out GPUs for lower or higher-end models as needed. This modularity ensures that adding or upgrading GPUs is hassle-free, enhancing the overall flexibility and scalability of the UCS X-Series system. This integration allows organizations to maximize their computational capabilities, efficiently handling complex tasks and large datasets within a unified infrastructure. For those not requiring high-end GPUs, the M6 and M7 X210c blade servers also offer a smaller mezzanine option, accommodating up to two smaller NVIDIA T4 GPUs, providing versatile solutions for varying computational needs.

UCS B-Series Blade Servers

Tap into better performance and operational efficiency for a wide range of physical and virtual workloads to include AI-optimized, scalable blade infrastructure for high-performance computing and analytics.

UCS C-Series Rack Servers

Tackle any workload challenge with a flexible combination of processor, memory, I/O, and internal storage resources, which provides versatility and AI-ready rack servers for demanding data workloads and machine learning.

UCS S-Series Storage Server

Enable scalable, high-capacity solutions for both general data center and AI-driven applications with this storage-optimized server.

Fabric Interconnect

Unifies computing, networking, and management resources into one cohesive system for UCS servers.

Management Platform:  Cisco Intersight

Unified management across Cisco UCS and third-party storage, servers, and networks, also offering cloud-based AI analytics for management, optimizing data center resources and automating workflows.

Cisco+ Hybrid Cloud

Cisco+ Hybrid Cloud is a way to manage hybrid cloud with a simplified, consumption-based solution that delivers flexibility, predictability, and visibility.

Connect with our Cisco UCS experts

Eric D'LalloData Center Compute Practice Lead
Dave AlexanderData Center Infrastructure Practice Manager
Rita YoungerData Center Networking Practice Lead

Cisco Data Center certfications 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 Data Center and Hybrid Cloud Specialized
  • Cisco Advanced Data Center Specialized
  • Cisco Hybrid Cloud Computing Specialized

WWT was also recognized with three Cisco global partner awards in 2023, including Americas Partner of the Year and also the global Security & Collaboration Partner of the year.

View all of WWT's Cisco certifications and awards

Learn more about Server Infrastructure and Cisco UCS

AI Proving Ground

Welcome to the AI Proving Ground — the industry's first and only multi-OEM AI testing environment housed within the ATC. Compare, test and train AI solutions with a growing list of composable labs featuring the latest reference architectures, hardware and software from the leading AI innovators.
ATC

Cisco AI Toolkit Demonstration

In this technology demonstration, we will showcase the deployment of an AI workload using Cisco Intersight automation on a single UCS X-Series blade, leveraging a neighboring X440p (X-Fabric) with an NVIDIA A40 GPU. This demo will highlight the powerful capabilities of both Cisco Intersight and the Cisco AI Toolkit, which includes tools for AI model deployment, system monitoring, and resource management. By utilizing Miniconda for environment management, CUDA for GPU acceleration, and various large language models like Vicuna and Meta OPT, we will feed data into a retrieval-augmented generation (RAG) model.
Video
•23:31
Jun 5, 2024

WWT's Deployment of Codeium on Cisco UCS with NVIDIA L40 GPUs: A Success Story in Security and Productivity

World Wide Technology has partnered with Cisco and NVIDIA to integrate Codeium, a coding assistant, into the software development processes. With this integration, WWT has achieved significant productivity gains, with 30-50 percent efficiency improvements for repetitive tasks.
Case Study

How to Choose the Right IFM for Your Cisco UCS X9508 Chassis: 25G vs 100G

When designing a Cisco UCS environment bandwidth is one of the many variables to consider. The Intelligent Fabric Module (IFM) is critical to the I/O speed of the system. This article will look at the role of the IFM and sizing considerations.
Blog
•Oct 30, 2023

Why Organizations Should Transition to Cisco UCS X210C M7 Servers

In this article, we embark on a comprehensive technical journey to understand why transitioning from the Cisco UCS B200 M4 to UCS X210C M7 servers isn't just a recommendation—it's a technical mandate.
Blog
•Oct 31, 2023

Embracing the Future: Transitioning from Cisco UCS 6200 Series Fabric Interconnects

For years the Cisco UCS 6200 Fabric Interconnect has powered the most demanding workloads leading to technology innovations seen today. Along with the workloads, the infrastructure has also needed to evolve. Customers should now be retiring the 6200 platform with the next generation of Cisco UCS hardware.
Blog
•Oct 31, 2023

Understanding Cisco UCS Management with Cisco Intersight

In today's fast-paced digital landscape, managing IT infrastructure efficiently, securely, and with scalability is crucial for businesses to stay competitive. Enter Cisco Intersight, a game-changing platform that is reshaping the way organizations manage their IT resources. If you're a customer looking to streamline operations, enhance security, and embrace innovation, here's why you should be excited about Cisco Intersight.
Blog
•Oct 31, 2023

Server Infrastructure

The foundation that holds IT/ICT systems together. Server infrastructure includes physical and virtual resources across hardware, software, network resources and related services.
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Cisco UCS

The Cisco Unified Computing System (UCS) is a next-generation data center platform that unites compute, network, storage access, and virtualization into a cohesive system designed to reduce total cost of ownership (TCO) and increase business agility.

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